Many philosophers think that we should use a lottery to decide who gets a good to which two persons have an equal claim but which only one person can get. Some philosophers think that we should save identified persons from harm even at the expense of saving a somewhat greater number of statistical persons from the same harm. I defend a principled way of justifying both judgements, namely, by appealing to the decreasing marginal moral value of survival chances. (...) I identify four desiderata that, I contend, any such justification should satisfy, and explain how my account meets these desiderata, unlike some previous accounts. (shrink)

The reasonable person standard is used in adjudicating claims of self-defence. In US law, an individual may use defensive force if her beliefs that a threat is imminent and that force is required are beliefs that a reasonable person would have. In English law, it is sufficient that beliefs in imminence and necessity are genuinely held; but the reasonableness of so believing is given an evidential role in establishing the genuineness of the beliefs. There is, of course, much (...) contention over how to spell out when, and in virtue of what, such beliefs are reasonable. In this chapter, we identify some distinctive issues that arise when we consider that implicit racial bias might be implicated in the beliefs in imminence and necessity. Considering two prominent interpretations of the reasonable person standard, we argue that neither is acceptable. On one interpretation, we risk unfairness to the defendant-who may non-culpably harbour bias. On another, the standard embeds racist stereotypes. Whilst there are formulations of the defence that may serve to mitigate these problems, we argue that they cannot be avoided in the presence of racist social structures. (shrink)

Overcoming Bias in Analysis and Decision-Making: Effective Psychological Techniques -/- Bias is a fundamental challenge in human thinking, affecting both individual and collective decision-making. It distorts our perceptions, limits rational analysis, and leads to poor choices. Overcoming bias requires a structured approach that integrates cognitive debiasing techniques, analytical thinking strategies, emotional regulation, decision-making frameworks, and data-driven methodologies. This essay explores these psychological techniques in detail, providing a comprehensive guide to improving judgment and decision-making. -/- Cognitive Debiasing Techniques (...) -/- Cognitive biases are mental shortcuts that influence our thinking and decision-making. To counter these biases, we must first recognize them and actively work to minimize their impact. -/- Awareness and Reflection -/- The first step in overcoming bias is recognizing that it exists. Awareness enables individuals to question their assumptions and consider alternative viewpoints. Reflection involves self-examination through questions such as: -/- Why do I believe this? -/- What if I am wrong? -/- Am I considering all perspectives? -/- Keeping a “bias journal” where instances of biased thinking are recorded can help individuals track patterns and improve their critical thinking skills. -/- Perspective-Taking -/- Perspective-taking is the practice of viewing a situation from different viewpoints, particularly from those who hold opposing beliefs. This method is effective in reducing confirmation bias—the tendency to favor information that supports our existing views. To implement perspective-taking, one should ask: -/- How would a scientist, historian, or someone from another culture interpret this issue? -/- What would someone with the opposite viewpoint say? -/- By expanding the scope of analysis, this technique allows for more balanced decision-making. -/- Devil’s Advocate Method -/- The devil’s advocate method involves intentionally arguing against one’s own position to uncover weaknesses in reasoning. This technique prevents groupthink, where individuals conform to the majority opinion without critical evaluation. It encourages intellectual humility and enhances the ability to recognize flaws in logic. Encouraging another person to play the devil’s advocate role can further strengthen decision-making. -/- Analytical Thinking Strategies -/- Analytical thinking strategies help break down problems systematically and ensure that decisions are based on logic rather than intuition. -/- Bayesian Thinking -/- Bayesian thinking involves updating beliefs based on new evidence rather than clinging to initial assumptions. Many individuals fall into the anchoring bias, where they give too much weight to first impressions. Bayesian reasoning teaches that beliefs should be flexible, constantly adjusting as new data emerges. -/- For example, if someone assumes that a new business will succeed but later receives data suggesting otherwise, Bayesian thinking encourages revising the initial expectation rather than dismissing the data. -/- Falsification Principle (Karl Popper’s Method) -/- Instead of looking for evidence that confirms a belief, the falsification principle emphasizes seeking evidence that could disprove it. This approach is crucial for reducing confirmation bias. -/- For instance, rather than only reading studies that support a particular political stance, individuals should actively search for research that contradicts their position. If a belief cannot be disproven under scrutiny, it becomes more reliable. -/- Red Team-Blue Team Analysis -/- Used in intelligence agencies and businesses, the Red Team-Blue Team strategy is a structured method where one team (Red) creates a plan or argument, and another team (Blue) challenges it. This structured opposition ensures that biases and weak points are identified before a final decision is made. -/- This technique is particularly useful in high-stakes decision-making, as it uncovers potential blind spots and prevents bias blind spots—the tendency to recognize bias in others but not in oneself. -/- Emotional and Psychological Regulation -/- Biases are often driven by emotions rather than facts. Managing emotions effectively is key to clear and objective thinking. -/- Mindfulness and Metacognition -/- Mindfulness involves staying present and observing thoughts without judgment. Metacognition is the ability to think about one’s own thinking process. These techniques help individuals recognize when they are making emotional, rather than rational, decisions. -/- For example, loss aversion bias causes people to fear losses more than they value equivalent gains. Mindfulness allows individuals to step back and assess whether their fear of loss is clouding their judgment. -/- Cognitive Reframing -/- Cognitive reframing involves changing the way one interprets a situation. This technique is useful in overcoming negativity bias, where individuals focus on negative experiences more than positive ones. -/- For example, instead of thinking, I failed my exam, so I am not smart, a person can reframe it as, This was a learning opportunity to improve my study methods. This shift in perspective fosters resilience and better decision-making. -/- Decision-Making Frameworks -/- Structured decision-making frameworks help reduce reliance on gut instincts and emotional biases. -/- Pros and Cons List -/- A simple yet effective technique, the pros and cons list forces objectivity by weighing the advantages and disadvantages of a decision. It helps differentiate between emotional reasoning and logical analysis. -/- Six Thinking Hats (Edward de Bono) -/- This framework encourages examining decisions from multiple perspectives by assigning different “hats” to different ways of thinking: -/- White Hat: Focus on facts and data. -/- Red Hat: Consider emotions and intuition. -/- Black Hat: Identify potential risks and problems. -/- Yellow Hat: Look for benefits and opportunities. -/- Green Hat: Think creatively and explore alternatives. -/- Blue Hat: Oversee the thinking process and maintain control. -/- This structured method ensures a comprehensive evaluation, preventing tunnel vision and overly emotional decisions. -/- Pre-Mortem Analysis -/- A pre-mortem is a mental exercise where individuals assume that a decision has already failed and then work backward to identify potential mistakes. -/- For example, if a company is launching a product, a pre-mortem would involve asking, What would cause this launch to fail? This technique prevents overconfidence bias and planning fallacy (underestimating risks). -/- Data-Driven Decision Making -/- Decisions should be based on empirical evidence rather than intuition. -/- Statistical Thinking -/- Many biases arise from relying on anecdotal evidence instead of statistical data. Statistical thinking involves analyzing patterns and probabilities rather than personal experiences or gut feelings. -/- For example, rather than assuming a hiring decision will succeed, checking historical hiring success rates in similar cases ensures more accurate predictions. -/- Double-Blind Analysis -/- In scientific research, double-blind analysis prevents bias by ensuring that neither the experimenter nor the participants know the expected outcome. -/- This approach can be applied in business and policy decisions by ensuring analysts review data without prior expectations, reducing observer bias and selection bias. -/- Conclusion -/- Bias is an inevitable part of human cognition, but it can be managed with the right psychological and analytical techniques. By implementing cognitive debiasing strategies, structured analytical thinking, emotional regulation, decision-making frameworks, and data-driven methodologies, individuals and organizations can make more rational, objective, and effective decisions. -/- These techniques not only improve personal decision-making but also enhance leadership, governance, and problem-solving in society. In an era of increasing information overload and misinformation, mastering these strategies is essential for sound reasoning and ethical decision-making. -/- . (shrink)

We often show a greater inclination to assist and avoid harming people identified as those at high risk of great harm than to assist and avoid harming people who will suffer similar harm but are not identified (as yet). Call this the identified person bias. Some ethicists think such bias is justified; others disagree and claim that the bias is discriminatory against statistical people. While the issue is present in public policy and politics, (...) perhaps the most notable examples can be found in medical ethics such as in ICU triage decisions made during the COVID‐19 pandemic. The Rule of Rescue, as the application of the identified person bias is sometimes called, states that spending large amounts of resources rescuing identifiable individuals who are in imminent danger is justified. In this paper, I show that our distorted attitudes toward time play a role in identified person bias. I claim that ICU triage decisions are better explained by a preference to treat people sooner rather than later, which is at least partially due to near bias (positive events are to be preferred to be near rather than distant), than by a preference to treat identified lives over statistical lives. Thus, another bias, near bias, is involved in the reasoning behind the identified person bias and the Rule of Rescue. (shrink)

Will I die? As a hypothesis, in my natural scientific understanding, the psyche, is nothing more than, and exclusively just some states of my living brain – I will die as a result of his death. -/- In presented answer, psyche – itself own immediate reality itself, that is – undoubted. -/- This work was performed in reality “in the first person” (“subjective reality”, “phenomenal consciousness”). To realize, how, what it is the reality of the “in the first (...) class='Hi'>person” let’s imagine ourselves as an experimenter, who does not replace reality with reasoning about it. – Now for us, as experimenters, how (what it is) psychic is an immediate and undoubted reality. And the awareness of “I am” is a direct reality, and not knowledge about it, which is always doubtful. That is, in psychic reality, nothing prevents us from answering undoubtedly and definitively the question, asked by this psychic reality itself about itself. The author acts from the position of “being in reality – not going beyond its limits, for example, into philosophy” (philosophy, including methodology, is the replacement of reality itself with always dubious reasoning about reality) – explores phenomenal consciousness (“psychic”) directly and as an immediate reality. That is, this work is the mastery of psychic reality through subjective-psychical experimentation – don’t philosophize, but experiment! -/- For example, Descartes, introspectively experimenting in his own psyche reality with his own psyche, informed us about the immutability of the “mind” and proposed to understand this immutability as our own immortality: “the mind does not represent any combination of accidents, it is a pure substance, and although all its accidents are subject to change, it understands some things, it desires others or feels others, etc. – nevertheless, in itself it does not change; and as for the human body, it changes, if only because they are subject to a change in the shape of some of its parts. It follows from this that the body perishes very easily, while the mind, by its very nature, is immortal” (Декарт Р., p. 13). Note that, Descartes did not realize that he was immortal, but logically deduced his own immortality from the immutability of the mind. However, Descartes’ unchanging “mind” itself is such that there is something to die. And in my natural scientific understanding, the immutability of the mind does not imply its immortality – it will die without changing in its subjective self-perception, while instantly fading away as a result of brain death. Psyche (psychical) – a designation of the fact that this is one’s own immediate reality (that is, undoubtedly) – how (what) I myself am immediately, undoubtedly, and that immediate reality of mine, how and through which I myself and everything in general for me there is, and which is exclusively the only one for me. It should be noted that while I am unconscious (brain injury or dreamless sleep), there is nothing at all. -/- But this does not mean that “I”, having completely gone into oblivion, I'll die. This does not exclude that, I will disappear completely into oblivion and does not exist, but (at the same time) “I” – am. So, let’s define immortality as the impossibility of dying because there is nothing to die (psychic, but is such that there is nothing to die – is immortal) and will make a conclusion important for this work: if I am, as psyche, exclusively only is such that there is something to die and nothing else, then, therefore, my death is not excluded. But am I like that? The idea of this work is that I, as a psyche can to manifest (reveal) and realize myself as such (I such), that there is nothing to die, but (at the same time) I – am. I will realize of myself as immortal – such that to die (to decease) nothing. In other words, if I will approach with a bias and, acting purposefully, will reveal the subjective reality “I (psyche) such is that to die (to decease) nothing, but I – am”, that is – I am immortal, that the hypothesis “I will die” will falsified and excluded. -/- To realize this in the work, it is proposed to use the subject-object model, shift the boundary of “I” to the pole of the subject and become objectless, manifesting (revealing) oneself as such that there is nothing to die. Therefore, the aim (goal) of the work – to realize: I – am, but such that there is to die (decease) nothing. To become objectless and wondering about the possibility to dying, as a result, or I will exclude the immortality of the manifested state, or I will manifest (will reveal) immortal undoubtedly and definitively. -/- At the same time, I, as a subject, am “a necessary pole of subject-object relations. … An object is what the activity of … a subject is directed at. … In fact, everything that exists can become an object. … it is important to keep in mind the fundamental fact that the object is always outside the subject, does not merge with it. This externality also takes place when the subject deals with the states of his own consciousness, his Self ... it is important to emphasize that the relation of the subject and the object is not the relation of two different worlds, but only two poles as part of some unity” (Лекторский В.А., p. 6-7). That is, everything that I find existing in myself, this (such) is as an object. “The subject always refers to all “objects”, but it can never become an object for itself” (Титлин Л.И., p. 23). “… you will not be able to see the seeing vision ...” (Титлин Л.И., p. 40), and in this model this implies the “limit” of the subject. As the limit of the subject, I am “objectless”. And, therefore, in its own pole the subject is “ideal” – in its (own) limit (as its own limit, its own limit), I do not exist for myself (non-existent). -/- Using the “fact of the mobility of the boundaries of the subject” (for example, Тхостов А.Ш., p. 16), I have the opportunity to “pull” the boundary of the “I” into myself and become my own limit. At the same time, it is necessary to realize and accept that “inside” the limit of the subject and behind – “beyond of the subject”, and in general the very “inside” and “behind” in this version – unreality. In such a subject limit, the required paradoxical subjective state is assumed – I exist and see, but at the same time I am such that I do not exist for myself, that is, I am, but (subjectively such that) there is nothing to die (“immortality”). -/- Accordingly, the following tasks are indicated in the experiment: 1. In the object-subject sphere of visual perception, shift (and shift) the boundary of “I” into oneself –» to run into one’s own limit and become one’s own limit (without thickness: without depth, without “from within” and without reverse side) –» 2. Having become your own limit, which in its own limit is, but for myself I do not exist (non-existent), realize: • Myself – I am and this is real; • Will I die? – or there is nothing to die, which of the options is to me, as a psyche (as itself the psychic “I”), is applicable: • or I am such that it is not impossible that I will die, and the realized state is not immortal; • or “I” am such that “I” – am (is reality), but such that myself “I” to die nothing, that is, my own immortality – I am immortal; • Is this real? -/- Instruction for reproducing the target result: sequence of actions and results in a subjective-psychic experiment (hereinafter referred to as SPE) -/- At a distance of 25-40 cm from the wall (so that the wall occupies the entire field of view or its overwhelming part), • Here and now, focus on your face: “I am” – reality (and not is the knowing about it). • In yourself step back and look out of yourself at this wall. • Without moving your head, cover the field of vision with your attention as wide as possible and at the same time perceive everything at once (all this) as a single whole. • Perceive a high and wide wall (option: look up at an angle of 135-150 degrees in front of you) in such a way that the space (volume) surveyed by you without turning your head is a closed asymmetrical “lens” • limited in a circle in the periphery of the field of view, • convex in you; You – the beholder, rearwards concave in self (“subject”) – which one of you are watching? • Without moving your head, perceive the field of view as a single whole –» • Into yourself “draw in” –» “backing away” –» step back from everything –» • lean back into yourself –» up to dead-end limit –» • become a dead end itself – a concave (reflector-like) limit-plane. • You – into yourself – backward concave – a perceiving visual screen (limit-dead end), plane –» • lean back and press –» • something in general somehow inside the dead-end plane and behind the dead-end plane, as well as “inside” and “behind”, “behind the dead-end plane” – unreality; • myself – a dead-end plane without thickness (depth), without “inside”, without a reverse side for oneself. • –» That is, as a psychic reality (what is it psychically) will I die? –» or • Something there is, and that is I will die (it is possible); or • I am such that there is nothing to die, but I – am. or • Subjective-psychic experiment is incomplete… • –» Realize that this is reality (realize the reality of it) and emphasize (answer). -/- As a result, “I” am, but there is nothing to die/not to die, that is, the hypothesis “I will die” is unrealistic. -/- Remarks -/- • Each completed SPE is completed with the target result: “I am such that there is nothing to die, but I – am”. And the that what I will die (not excluded) does not correspond to this, that is unreality and is excluded by this. • But I am not such that I will not die. The concepts “I will die/ I will not die” to me, as a psyche are not applicable. That is, I, as a psyche, is immortal, but I am not eternal (not eternal – endlessly lasting, such that there is something to last) – to last, to be eternal and to end there is nothing. This is “immortality”. • In the target result of this work, I – am, but such that there is nothing to die/not die (“immortality”). And such a “I” is not the Atman of the Hindu schools of Nyaya, Vaisheshika and Purva Mimamsa, which E.A. Torchinov. Since the “I” – psychic, and not a substance with the psyche as an attributes. • According to illusionism, what I am as a result of the experiment given in the work is an illusion. And the impression of immortality is a product of the brain. But in reality I am such that I will die (it is not excluded). However, it is necessary to realize that illusionism is a detached reasoning about the “I”, but not is the self itself. And to what I am (as psiche), reasoning and questions about the reality of the “I” (for example, question: am I really like this, what am I like as psyche?) and other expressing illusionism do not correspond. That is, subjectively (psychic, in the psychic reality of the “first person”, in first person perspective), the illusionism of the “I” is unreality. Subjectively (psychic, in the psychic reality of the “first person”, in first person perspective), this is undeniable and final. • Reasoning about what such a “I” is in this (mine) or not in this brain, as well as (for example, holding a real skull in my hands), questions like “how (or, but now where is it here) such “I” – how is it after brain death?” – To the fact that is such an “I” these questions do not correspond and is falsified by this. • After being unconscious, the impression remains that I'm is not and that there is nothing at all. That is, my “unconsciousness” is psychic indistinguishable from my non-existence. However, science has not shown, but and it is not excluded that before and after I exist physically (there is something to die), I still or I no longer exist, there is still or nothing to die as a soul, substance, or otherwise. But what I am in the target result of this work is what I – am, and not “died and already now or still unreality” and I am such that there is nothing to die, this is – reality. That is, I will die? – there is nothing (to die), but I – am (reality), even if I am not (don’t exist). Or I do not exist as something. • I am such that there is nothing to be and die, but I am. And subjectively (psychic, in the psychic reality of the “first person”, in first person perspective), this immortality is – reality. But this reality eludes my rational explanation. -/- Conclusion -/- Will I die? – In the target result the I am, but at the same time I am such that there is nothing to die. That is, I am immortal, but at the same time, I am not eternal (“I” not something eternal (endlessly continuing)) – I am such that to be eternal there is nothing. And, if we accept the subjective (psychic, “first person”, in first person perspective) reality without trying to understand it rationally, then I am exactly like that – I realize that this is my undoubted nature. That is, “I will die / I will not die” is an unreality. Subjectively (psychic, in the psychic reality of the “first person”, in first person perspective), it is undoubted and final. Despite the unscientific nature, this work is a way of mastering reality. The author would be grateful for the identified and shown unreality of the fact that the “I” – am, but such that there is nothing to die, and ideally, the awareness: “I will die (not excluded).” -/- Bibliography -/- Декарт Р., Размышления о первой философии //Декарт Р. Соч.: В 2 т. Т. 2. М., 1994. Лекторский В.А. Субъект в истории философии: проблемы и достижения // Методология и история психологии. 2010. Том 5. Выпуск 1. С. 5-18. Титлин Л.И. Проблема субъекта в индийской философии («Пудгалавинишчая» Васубандху) [Текст] / [Л. И. Титлин]; Федеральное государственное бюджетное учреждение науки Институт философии Российской академии наук. – Москва: ОнтоПринт: Сделано-Сказано, 2018. – 361, [1] с. Тхостов A. Ш. Культурно-историческая патопсихология: монография, – М.: Канон+ РООИ «Реабилитация», 2020. – 320 с. Торчинов Е.А. «Словарик индуизма» (Дата написания: 2003; дата файла: 15.06.2007). Торчинов Е.А. Пути философии Востока и Запада: познание запредельного — СПб.: «Азбука-классика», «Петербургское Востоковедение», 2005. — 480 с. ISBN 5-352-01371-5 (Азбука-классика) ISBN 5-85803-258-3 (Петербургское Востоковедение). -/- Скончаюсь? – я бессмертен (как осознать бессмертие «от первого лица») -/- Скончаюсь? В качестве гипотезы в моем естественно-научном понимании психическое (каково психически), это не более чем, и исключительно только всего лишь некоторые состояния моего живого мозга – скончаюсь в результате его смерти. -/- В представленном ответе психическое – сама собственная непосредственная реальность, то есть, то, каково психически, это – несомненно. -/- Данная работа выполнена в реальности «первого лица» («субъективная реальность», «феноменальное сознание»). Чтобы осознать то, как, каково это, представим себя экспериментатором, который не подменяет реальность рассуждениями о ней. – Теперь для нас, как экспериментаторов, то, как (каково) психически, это непосредственная и несомненная реальность. И осознание «я есть», это непосредственная реальность, а не знание об этом, которое всегда сомнительно. То есть, в психической реальности, на вопрос, заданный самой этой психической реальностью самой себе о себе самой, нам ничто не запрещает ответить несомненно и окончательно. Автор действует с позиции «быть в реальности – не выходить за ее пределы, например, в философию» (философия, включая методологию, это подмена самой реальности всегда сомнительными рассуждениями о реальности) – исследует феноменальное сознание («психическое») непосредственно и в качестве непосредственной реальности. То есть, данная работа, это овладение психической реальностью посредством субъективно-психического экспериментирования – не философствуй, а экспериментируй! -/- Например Декарт, интроспективно экспериментируя в собственной психической реальности с собственным психическим, сообщил нам о неизменности «ума» и предложил эту неизменность понять в качестве нашего собственного бессмертия: «ум не представляет какого-то соединения акциденций, являет собой чистую субстанцию и, хотя все его акциденции подвержены изменению — он то понимает какие-то вещи, то желает другие или чувствует третьи и т.д.,— тем не менее сам по себе он не изменяется; а что касается тела человека, то оно изменяется хотя бы уже потому, что подвержены изменению формы некоторых его частей. Из этого следует, что тело весьма легко погибает, ум же по самой природе своей бессмертен» /Декарт Р., стр. 13. Заметим, Декарт не осознавал себя бессмертным, а логически вывел собственное бессмертие из неизменности ума. Однако, неизменный «ум» Декарта таков, что скончаться есть чему. А в моем естественно-научном понимании из неизменности ума не следует его бессмертие – он, не изменяясь в своем субъективном само-восприятии, при этом мгновенно угаснув в результате смерти мозга, скончается. Психически (психическое) – обозначение того, что это сама собственная непосредственная реальность (то есть – несомненно) – то, как (каково) я сам непосредственно, несомненно, и та моя непосредственная реальность, как и посредством чего я сам и всё вообще для меня есть, и которое для меня исключительно единственное. Следует заметить, что пока бываю без сознания (травма мозга или сон без сновидений), ничего и никак нет вообще. -/- Но это не значит, что «я» ушедши в небытие окончательно – скончаюсь. Этим не исключено, что таковой ушедший в небытие «я» не существую, но (при этом) есть. Итак, определим бессмертие, как невозможность скончаться потому, что скончаться нечему (например, если «умерший» психически есть, но уже таков, что скончаться больше нечему, то теперь он бессмертен) и сделаем важный для данной работы вывод: если психически я исключительно только таков, что скончаться есть чему и ни каков иначе, то, следовательно, то, что скончаюсь, это не исключено. Но таков ли я? Идея данной работы в том, что мне удастся проявить (выявить) и осознать себя таковым (я таков), что скончаться нечему, но (при этом) я есть. Иначе выражаясь, если я подойду предвзято и действуя целеустремленно, выявлю субъективную реальность «я есть, но таков, что скончаться нечему» – то смерть мне, как психическому несвойственна, то есть, я бессмертен – гипотеза возможности субъективно скончаться («я скончаюсь») будет фальсифицирована и исключена. -/- Чтобы это реализовать в работе предлагается воспользоваться субъект-объектной моделью, сдвинуть границу «я» в полюс субъекта и стать безобъектным, проявившись (выявившись) собой таковым, что скончаться нечему. Следовательно, цель работы – осознать: я таков, что есть, но скончаться нечему. Стать безобъектным и задаваясь вопросом о возможности скончаться, или исключу бессмертие проявленного состояния, или проявлюсь (выявлюсь) бессмертным несомненно и окончательно. -/- При этом, я, как субъект, являюсь «необходимым полюсом субъектно-объектных отношений. … Объект – то, на что направлена активность … субъекта. … В действительности объектом может стать все, что существует. … важно иметь в виду тот принципиальный факт, что объект всегда внеположен субъекту, не сливается с ним. Эта внеположность имеет место и тогда, когда субъект имеет дело с состояниями собственного сознания, своим Я … важно подчеркнуть, что отношение субъекта и объекта – это не отношение двух разных миров, а лишь двух полюсов в составе некоторого единства» /Лекторский В.А., стр. 6-7. То есть, всё, что нахожу в себе существующим, это (таковое) есть в качестве объекта. «Субъект – всегда относится ко всем «объектам», но он никогда не может стать объектом для самого себя» /Титлин Л.И., стр. 23. Иначе это выражая – «ты не сможешь увидеть видящего видение…» /Титлин Л.И., стр. 40, и в данной модели таковое предполагает «предел» субъекта. Как предел субъекта я «безобъектен». То есть, «идеален» – своим (собственным) пределом (в качестве собственного предела) самим для себя не существую (несуществующий). -/- Используя «факт подвижности границ субъекта» /например, Тхостов А.Ш., стр. 16, я имею возможность границу «я» в себя-назад «втянуть» и стать собственным пределом. При этом необходимо осознать и принять, что внутри предела субъекта и сзади – «за пределом субъекта», и вообще само «внутри» и «сзади» в этой модели – нереальность. Таким субъектным пределом предполагается требуемое парадоксальное субъективное состояние – я есть и вижу, но при этом я таков, что для себя не существую, то есть, я есть, но (психически таков, что) умереть нечему («бессмертие»). -/- Соответственно, в эксперименте обозначаются следующие задачи: 1. В объект-субъектной сфере зрительного восприятия сдвинуть (и сдвинув) границу «я» в себя-назад –» упереться в собственный предел и стать самим собственным пределом (без толщены: без глубины, без «внутри» и без обратной стороны) –» 2. Став собственным пределом, которым есть, но для себя не существую (несуществующий), осознать: • Себя – я есть и это реально; • Скончаюсь? – есть ли чему скончаться или скончаться нечему, какой из вариантов мне (как психическому «я») свойственен: • или я таков, что то, что скончаюсь не исключено, и реализованное состояние не бессмертно; • или я есть, но таков, что скончаться нечему, то есть, собственное бессмертие – я бессмертен; • Реальность ли это. -/- Инструкция воспроизведения целевого результата: последовательность действий и результатов в субъективно-психическом эксперименте (далее СПЭ) -/- На расстоянии 25-40 см от стены (так, чтобы стена занимала всё поле зрения или его подавляющую часть), • Здесь и сейчас сосредоточьтесь на своём лице: «я есть» – реальность (а не знание об этом). • В себе отстранитесь назад и смотрите из себя на эту стену. • Не двигая головой, охватите поле зрения вниманием предельно широко и одновременно всё сразу (всё это) воспримите единым целым. • Высокую и широкую стену (вариант: смотрите вверх под углом 135-150 градусов перед собой) воспримите так, что обозреваемое вами без поворота головы пространство (объем), это – ограниченная по окружности в периферии поля зрения замкнутая несимметричная «линза» • плоская с противоположной вам стороны • и выпуклая в вас; Вы – вогнутый в себя-назад смотрящий («субъект») – каков? – кто из вас сейчас на всё это смотрит? • Не двигая головой, поле зрения воспримите единым целым –» • В себя-назад «втянитесь» –» и «пятьтесь» –» «за мысли» и за всё вообще –» из этого всего назад вытесняясь –» от всего вообще взад отстранитесь –» • собой в себя-назад подайтесь и упершись в собственный (себя) задний к объектному обращённый (развернутый) тупиковый предел –» • станьте самим пределом-тупиком – в себя-назад вогнутой (рефлектор-подобной) пределом-плоскостью смотрящей – воспринимающим зрительным экраном –» станьте плоскостью-тупиком –» • «проскользните» по себе – плоскости-тупику и охватите вниманием целиком –» • собой – самим плоскостью-тупиком назад надавить, нажать –» • осознать: что-то как-то внутри плоскости-тупика и сзади за плоскостью-тупиком, и там вообще «что-то как-то», а также само «внутри» и «сзади», «за плоскостью-тупиком» и вообще «там» – нереальность; • самого себя – плоскости-тупика без толщины (глубины), без «внутри», без обратной стороны для себя нет. • –» То есть – в качестве психической реальности (каково психически) я скончаюсь? –» или • скончаться есть чему – скончаюсь (не исключено). или • я таков, что скончаться нечему, но я есть. или • субъективно-психический эксперимент не завершён. • –» Осознайте, что это – реальность (осознать реальность этого) и подчеркните (ответ). -/- В результате я есть, но скончаться/не скончаться нечему, то есть гипотеза «скончаюсь» – нереальность. -/- Замечания -/- • Каждый завершённый СПЭ завершён целевым результатом: «я таков, что скончаться нечему, но я есть». И тому, каков я в результате СПЭ, то, что скончаться есть чему – скончаюсь (не исключено) не соответствует, то есть нереальность и этим исключено. • То есть, я и не таков, что не скончаюсь. «Я скончаюсь/не скончаюсь» ко мне, как к психике, неприменимо. Иначе это выражая, тому, каков я, смерть несвойственна. То есть, я, как психика (психическое), бессмертен, но я не вечен (не вечный – бесконечно длящийся, таковой, что есть чему длиться) – длиться, быть вечным и не скончаться нечему. Таково «бессмертие». • В целевом результате данной работы я есть, но таков, что скончаться/не скончаться нечему («бессмертие»). И таковой «я» не Атман индуистских школ ньяя, вайшешика и пурва-миманса, о котором сообщает Е.А. Торчинов. Так как «я» психичен, а не субстанция с психическим в качестве атрибута. • Согласно иллюзионизму, то, каков я в результате данного в работе эксперимента, это иллюзия. И впечатление бессмертия, это порождение мозга. А реально я таков, что скончаюсь (не исключено). Однако, необходимо осознать, что иллюзионизм, это отстраненные рассуждения о «я», но не сам я непосредственно. И тому, каков я психически (каково психически), рассуждения и вопросы о реальности «я» (например, таков ли я реально, каков психически?) и другие выражающие иллюзионизм «я» не соответствуют. То есть, каково психически, иллюзионизм «я» – нереальность. Психически, это несомненно и окончательно. • Рассуждения о том, что таковой «я» в этом (моем) или не в этом мозге, а также (например, держа в руках реальный череп), вопросы, типа «а как же (или, но теперь где же здесь) таковой «я» – как это после смерти мозга?» тому, каков таковой «я» эти вопросы не соответствуют. • После пребывания без сознания остается впечатление, что без сознания меня нет и ничего никак нет вообще. То есть, моё «бессознание» психически неотличимо от моего несуществования (небытия). Однако, наукой не показано и не исключено то, что до и после того, как я есть физически (скончаться есть чему), меня ещё или уже нет, скончаться ещё или уже нечему в качестве души, субстанции или как-то иначе. Но, то, каков я в целевом результате данной работы, таковой я есть, а не «скончался и уже теперь или ещё нереальность» и я таков, что скончаться нечему – реален (реалия). То есть, скончаюсь? – нечему (скончаться), но я есть, даже если меня нет (не существую). • Я таков, что быть и скончаться нечему, но я есть. И то, как (каково) психически, это бессмертие – реальность. Но эта реальность ускользает от моего рационального её объяснения. -/- Заключение -/- Скончаюсь? – в целевом результате я есть и вижу, но при этом я таков, что умереть (скончаться) нечему. То есть, я бессмертен, но при этом я не вечен (не нечто вечное (бесконечно длящееся)) – быть вечным нечему. И, если принять психическое реальностью не пытаясь понять это рационально, то я именно таков – осознаю, что такова моя несомненная для меня природа. То есть, «скончаюсь/не скончаюсь» – нереальность. Психически, это несомненно и окончательно. Несмотря на ненаучность, данная работа – способ овладения реальностью. Автор был бы признателен за выявленную и показанную нереальность целевого результата данной работы, а в идеале, за осознание: «скончаюсь (не исключено)». -/- Annex 2. The key essence of this work (only in Russian to convey the nuances without distortion) -/- Performed, expressed and transmitted initially by means of Russian, the native language of the author, and, in order to avoid distortions in the correspondence of the linguistic nuances of the reproduced subjective reality, it assumes an independent translation into the language of the experimenter by the experimenter himself in the process of reproducing the target result of this work. -/- «Я» скончаюсь? – нечему (скончаться), но «Я» есть. Will “I” die (decease)? – to die (decease) nothing, but “I” am. -/- Заметить: • Выполнено, выражено и передано изначально посредством русского – родного для автора языка и, чтобы избежать искажений соответствия языковых нюансов воспроизводимой психической реальности, предполагается самостоятельный перевод на язык экспериментатора самим экспериментатором в процессе воспроизведения целевого результата данной работы. • В «кавычки» взяты слова и выражения, требующие «субъективного» приведения в соответствие психическому содержанию. Подготовка: • Вам потребуется уединённое место (там, где вас не отвлекут). • На первоначальном этапе понадобится некоторое (возможно длительное) время для того, чтобы усвоить предложенный алгоритм действий в психической реальности в процессе реализации и воспроизвести целевой результат впервые. • Возможно, результату поспособствует отклонение от предложенного алгоритма «психических действий», импровизация в направлении целевого результата. • В процессе эксперимента количество попыток не ограничено и затраченное на это время не имеет значения. Необходим исключительно только именно целевой результат. Реализация: • В уединении встать перед плоской широкой и высокой (достаточно большой, чтобы её границы были на периферии вашего поля зрения) стеной, например, покрытой однородной светлой (но не белой) керамической, не глянцевой (не отражающей на вас свет или отвлекающих внимание изображений, не дающей бликов) плиткой с лёгким текстурным рисунком (позволяющим глазам «зацепиться» за стену и отчётливо воспринимать перед собой поверхность, а не «утонуть» в однородном (монотонном) пространстве), на расстоянии 25-40 см от неё (так, чтобы стена занимала всё поле зрения или его подавляющую часть) –» • Скончаюсь (1)? – каково психически (психическое), в моем естественно-научном понимании – это (я) не более чем и исключительно только некоторые состояния функционирующего (живого) мозга – скончаюсь, как и уже скончался каждый умерший мозг – того каждого, кто скончался, как реальности (реального, реалии) (2) уже теперь нет окончательно. Теоретически, если психически я исключительно только таков, что скончаться есть чему и ни каков иначе, то, следовательно, что (я) скончаюсь, это не исключено. • Глядя на стену, здесь и сейчас сосредоточиться на своём лице (и осознать): «я есть» – реальность (а не знание об этом) –» • В себе «отстраниться» назад – смотрю из себя на эту стену –» • Не двигая головой, охватить поле зрения вниманием предельно широко (поднять (вздернуть) брови, если это расширит поле зрения) и одновременно всё сразу (всё это) воспринять единым целым –» • Высокую и широкую стену (вариант: смотреть вверх под углом 135-150 градусов перед собой) воспринять так, что обозреваемое без поворота головы пространство (объем), это – ограниченная по окружности в периферии поля зрения замкнутая несимметричная «линза» • плоская (ограниченная стеной) с противоположной мне стороны • и «выпуклая в меня» –» • Я – «вогнутый» в «себя-назад» смотрящий, каков? – кто из меня сейчас на всё это смотрит? –» • Не двигая головой, поле зрения воспринять единым целым –» • в себя-назад «втянуться» –» и «пятиться» –» «за мысли» и за всё вообще –» из этого всего назад «вытесняясь» –» от всего вообще «взад отстраниться» –» • «собой» в себя-назад «податься» и «упершись» в «собственный (себя) задний к объектному обращённый (развернутый)» «предел тупиковый» («тупо-уперто») –» • «стать» самим «пределом-тупиком» – «в себя-назад вогнутой (рефлектор-подобной)» «пределом-плоскостью» смотрящей – воспринимающим «зрительным экраном» –» стать «плоскостью-тупиком» –» • «проскользнуть» по себе – плоскости-тупику и охватить вниманием целиком –» • собой — самим плоскостью-тупиком «назад надавить, нажать»: • осознать: «что-то как-то внутри плоскости-тупика» и «сзади – за плоскостью-тупиком», и «там вообще» «что-то как-то», а также само «внутри» и «сзади», «за плоскостью-тупиком» и вообще «там» – нереальность; • самого себя – плоскости-тупика без толщины (глубины), без «внутри», без обратной стороны для себя нет –» Собой – плоскостью-тупиком: • без глубины (толщины), без «внутри», без обратной стороны таков, что скончаться есть чему – скончаюсь (не исключено) –» • смотрю –» смотря –» «Непосредственно-психически» -/- Заметить: • Специфику используемых в данной работе слов (терминов), названий и выражений необходимо осознать в соответствии с (4.1.) (данный пункт смотрите ниже). • Необходимо от себя – (как) «смотрящего плоскости-тупика», такового, что скончаться есть чему, оттождествиться собой — «самим психическим» (каково психически) (3) –» • –» «отличить (4)» «Я» –» «Я-лик». • Отличив, и себя такового обозначая, но не имея в языке отличающего местоимения, именую «Я» (5). • «Соединённое-через-дефис-в-кавычках» реализовать и/или воспринять «одним-единым-целостным»; • Последовательность слов и знаков предполагает последовательность психических действий (алгоритм действий в собственном психическом); • Вопросительность слова, фразы или отдельной её, именно вопросительной части задаётся знаком «?» расположенным перед и после них. Требование к действию задаётся знаком «!» расположенным перед и после слова (фразы); • Субъективно-психический эксперимент завершён, если воспроизведен (4.1.), иначе субъективно-психический эксперимент не завершён. -/- Собой – плоскостью-тупиком … смотрю –» смотря –» -/- «Психически» (6) 1. ?кто? видит –» !отличить «Я»! –» 2. –» !«Я-видящий-лик»! –» 3. –» !«Я-лик»! –» 4. –» !«Я-ликом» всем «психически-назад-надавить(нажать)»: «Я» ?скончаюсь?! –» !«Я-ликом» всем «психически-назад-давить(жать)»: (4.1.) – нечему (7), но «Я» есть.! -/- Признательность: Согласно иллюзионизму, то, каков «Я» (как (каково) «скончаться нечему, но «Я» есть.»), реально, это не так (не таково). То есть, таковой «Я» нереален (нереальность), а реально – таков, что скончаюсь (не исключено). Однако, необходимо осознать, что это «отстраненные» от «Я» рассуждения о «Я», но не сам «Я» непосредственно. И тому, каков «Я» (как (каково) скончаться нечему, но «Я» есть.) таковое (рассуждения) не соответствует. То есть, эти рассуждения о «Я» – заблуждение. Это (как осознание) несомненно и окончательно. Не так? – за выявленную и показанную нереальность (того, что) «Скончаюсь? – нечему (скончаться), но «Я» есть.», за показанную реальность того, что скончаться не исключено, а в идеале, за осознание: «скончаюсь (не исключено)» я был бы признателен. -/- (Сноски) (1) Именно «скончаюсь, скончался», то есть – как реальности (реального, реалии) нет окончательно. (2) Реалия, реально, реален, реальность, реальное – само то, что (каково это) непосредственно, как само таковое – само то, каково познаваемое и как-либо моделируемое вне его познания и иного (вообще) моделирования. То есть, само само-осознание себя реальностью, например, «я-реалия», «я есть» или «скончаться – нечему, но «Я» есть.» – реальность. То есть – нам ничто не запрещает ответить на вопрос «скончаюсь?» несомненно и окончательно. (3) Психически (психическое) – то, как (каково) я сам непосредственно, несомненно, и та моя непосредственная реальность, как и посредством чего я сам и всё вообще для меня есть, и которое для меня исключительно единственное. Следует заметить, что пока бываю без сознания (травма мозга или сон без сновидений), ничего и никак нет вообще. Также само обозначение того, что это сама собственная непосредственная реальность (то есть – несомненно). И чтобы её осознать, представьте себя экспериментатором, который не подменяет реальность рассуждениями о ней. – Теперь для вас, как экспериментатора, то, как (каково) психически, это – несомненно (непосредственная несомненная реальность). Не философствуй (не рассуждай, не моделируй её), а экспериментируй! (4) «Я-Лик» – специфическое выражение, соответствующее психическому в данный момент СПЭ. (5) «Я» – целевой (конечный, «предельный») и «ключевой» результат данной работы. «Я» в данной работе не склоняется, выделено полужирным подчеркнутым шрифтом и заключено в кавычки. (6) «Каково психически» – то, как (каково) «Я» сам непосредственно, несомненно – само «первое лицо» (субъект психического), а также обозначение принятия позиции «первого лица» и сообщения «от первого лица». (7) Пока я бываю без сознания («бессознание», например, сплю без сновидений), моего сознания нет (оно сведено на нет, угасло) – ничего и никак нет вообще (это моё абсолютное небытие) – (каково) психически, мне скончаться нечем. А в целевом результате данной работы, психически (то есть – непосредственно), «Я» таков, что скончаться не нечем, а именно нечему, но при этом «Я» есть. (shrink)

Purpose – With the growing demand for ethical standards in the prevailing business environment, ethical leadership has been under increasingly more focus. Based on the social exchange theory and social learning theory, this study scrutinized the impact of ethical leadership on the presentation of ethical conduct by employees through the ethical climate. Notably, this study scrutinized the moderating function of the person organization fit (P-O fit) in relation to ethical climate and the ethical conduct of employees. -/- Design/methodology/approach – (...) To evaluate the research hypotheses, two-wave data were collected from 295 individuals who are currently employed in various Iraqi organizations (i.e. manufacturing, medical, and insurance industries). -/- Findings – In line with the hypotheses, the outcomes from a sample of 295 workers working in different Iraqi entities exhibited a positive relationship between the ethical behavior of leaders and the ethical conduct of employees in the ethical climate. Moreover, it was observed that the P-O fit of employees moderated the relationship between ethical climate and the ethical conduct of employees such that the relationship was more robust for those with a high P-O fit in comparison to those with a low P-O fit. -/- Research limitations/implications – The primary limitation of this study is in the data, which was obtained from a single source. Although the study conducted two surveys and utilized a mediation and moderation variables model that was less likely to be influenced by common method bias (CMB) (Podsakoff et al., 2012), one cannot completely rule out CMB. Apart from the potential effects of the CMB, the consistency of the empirical findings could have also been compromised since self-reported data were utilized in measuring ethical behavior, which can be a very complex and sensitive issue. For this reason, the social desirability response bias cannot be ruled out completely. When possible, future studies must gather data from multiple sources. Furthermore, supervisors must evaluate the ethical behavior of employees. Another limitation was that the findings of this study were based on a sample in a Middle Eastern cultural context such as in Iraq. Perhaps, the particular cultural features of this context, which encompassed, among other things, strong adherence to religious values (Moaddel, 2010), could have influenced the findings of this study. It is true that the effects of differences (P–O fit) are highly likely to replicate across cultural contexts (Triandis et al., 1988). However, it can be seen that further studies are needed to evaluate the context-sensitivity of these findings (Whetten, 2009) by analyzing other cultures, where the importance of religiosity is on the decline (i.e. in Western countries, Ribberink et al., 2018) or where the cultural features are very much different from those that apply to Iraq. Lastly, other external factors were not taken into account by this study as it tried to explain ethical behavior. Ethics is a highly complex subject and is influenced by numerous variables at the organizational, individual, and external environment levels. Thus, caution must be observed when making inferences from the present study which, to a certain degree, offered a simplified version of ethical behavior by concentrating on a few variables such as the Arab culture’s traditional ideology, which dominates even science (Abu Khalil, 1992). In addition, there are political conflicts in the Middle Eastern cultural context such as what is happening in Iraq (Harff, 2018). Thus, it is important to include such aspects in future researches. -/- Practical implications – In terms of management, the findings send a clear signal to those in the upper echelon that, without ignoring the issue of ethics in organizations, employees are a critical aspect to be taken into account to encourage ethical behavior at the workplace. This study has important practical implications. First, this study determined that ethical leadership (here, of the supervisors) positively influences the behavior of subordinates (refers to the supervisors here); this, in turn, further improves the ethical behavior of employees. It is vital that managers or supervisors are motivated to practice ethical leadership because they directly influence the employees. It has been suggested that top managers, especially chief executive officers, have the ability to shape the ethical climate, which also influences the ethical behavior of employees further. This study offered several feasible ways that managers can apply to achieve that. In particular, top managers may utilize the ethical climate as a way of communicating the ethical values that they have to their subordinates, thereby serving as a motivation for the subordinates to adopt ethical behavior. It was also suggested by this study that ethical climate and the P–O fit may, to some degree, substitute each other as they influence the ethical behavior of employees. Therefore, firms that were identified to have a low level of ethical standards, practices, and policies, at least from the employees’ perspective, are better poised to conduct ethical issues in order to construct the ethical behavior of their subordinates. More importantly, it is highly essential that the value congruence between an organization and its followers be considered. -/- Social implications – This study highlighted the notion of ethics and how it’s essential for society. Ethics refers to the norms, standards, and values that direct the behavior of an individual. Ethical behavior is vital in society because we need to be treated with respect as human beings. -/- Originality/value – This study responds to recent calls for more research to identify factors that may strengthen or mitigate the influence of ethical behavior in the workplace such as ethical leadership, ethical climate, and Person–Organization. (shrink)

-/- The Inefficiency of the Biological Brain and Its Impact on Personal, Social, and Societal Problems: A Perspective Based on the Universal Formula -/- The human brain, though remarkably complex and capable of extraordinary feats, is inherently limited by its biological structure and inefficiencies. These limitations often lead to errors in perception, cognition, and decision-making, which in turn contribute to a wide range of personal, social, and societal problems. Using the framework of the universal formula, which incorporates the law of (...) karma (cause and effect) and the necessity for systems to be free of defects, we can analyze how the inefficiency of the brain manifests as imbalances that disrupt the natural order. -/- The Biological Brain as an Inefficient System -/- The human brain operates as a biological system, governed by physical and chemical processes. Like any system, it is susceptible to defects, such as cognitive biases, emotional dysregulation, and limitations in memory and reasoning. These inefficiencies stem from evolutionary constraints, where survival and reproduction were prioritized over optimal functioning. -/- For instance, the brain’s tendency toward confirmation bias—favoring information that aligns with existing beliefs—illustrates a defect that disrupts rational decision-making. This defect violates the universal law of balance in nature by creating distorted perceptions of reality, leading to decisions that are not aligned with objective truth. As a result, personal problems such as poor judgment, anxiety, and conflict arise. -/- Impact on Social Interactions and Collective Decisions -/- The inefficiencies of individual brains are amplified in social contexts, where interactions between flawed minds create feedback loops of misunderstanding, miscommunication, and conflict. For example, tribalism—a byproduct of evolutionary social bonding—leads to in-group favoritism and out-group hostility. These behaviors create social imbalances, fueling discrimination, prejudice, and division. -/- According to the universal formula, collective decision-making systems must also adhere to the law of balance. However, when individuals operating under cognitive and emotional inefficiencies participate in governance, education, or economic systems, these defects propagate, resulting in flawed policies and societal structures. For example, leaders influenced by personal biases or misinformation can implement policies that favor short-term gains over long-term sustainability, creating systemic imbalances in society. -/- Societal Problems Rooted in Brain Inefficiency -/- The accumulation of individual and social imbalances inevitably manifests as societal problems, such as poverty, inequality, and environmental degradation. These issues can be traced back to the inefficiency of the biological brain in processing complex, interconnected systems. The human brain struggles to comprehend long-term consequences, leading to overconsumption, unchecked population growth, and unsustainable economic models. -/- The law of karma in the universal formula emphasizes that defective systems produce flawed outcomes. Societies governed by human brains that fail to account for natural balance are bound to experience the consequences of imbalance, such as resource depletion, social unrest, and climate change. These problems are not merely incidental; they are the inevitable result of a system that violates the principles of natural harmony. -/- Addressing Brain Inefficiency Through the Universal Formula -/- The universal formula provides a roadmap for addressing the inefficiencies of the biological brain by emphasizing the importance of balance, feedback mechanisms, and defect-free systems. Education plays a crucial role in this process. By teaching the universal law of balance in nature and fostering critical thinking, individuals can learn to recognize and correct cognitive biases, emotional distortions, and flawed reasoning. -/- Furthermore, the integration of artificial intelligence programmed with the universal formula offers a promising solution to mitigate human brain inefficiencies. AI systems, equipped with complete sensor systems and free from cognitive biases, can serve as objective feedback mechanisms to guide human decision-making. These systems can help individuals and societies adhere to the principles of natural balance, preventing and solving problems that arise from brain inefficiencies. -/- Conclusion -/- The inefficiency of the biological brain is a fundamental cause of many personal, social, and societal problems. By understanding these inefficiencies through the lens of the universal formula, we can identify the root causes of imbalance and implement solutions that align with the natural laws of balance and karma. Through education, technological innovation, and adherence to universal principles, humanity can transcend the limitations of its biological brain and move toward a more harmonious and sustainable future. -/- . (shrink)

We identify several ongoing debates related to implicit measures, surveying prominent views and considerations in each debate. First, we summarize the debate regarding whether performance on implicit measures is explained by conscious or unconscious representations. Second, we discuss the cognitive structure of the operative constructs: are they associatively or propositionally structured? Third, we review debates whether performance on implicit measures reflects traits or states. Fourth, we discuss the question of whether a person’s performance on an implicit measure reflects characteristics (...) of the person who is taking the test or characteristics of the situation in which the person is taking the test. Finally, we survey the debate about the relationship between implicit measures and (other kinds of) behavior. (shrink)

Contemplative scholarship has recently reoriented attention towards the neuroscientific study of the soteriological ambition of Buddhist practice, 'awakening'. This article evaluates the project of seeking neural correlates for awakening. Key definitional and operational issues are identified demonstrating that: the nature of awakening is highly contested both within and across Buddhist traditions; the meaning of awakening is both context- and concept-dependent; and awakening may be non-conceptual and ineffable. It is demonstrated that operationalized secular conceptions of awakening, divorced from soteriological and (...) cultural factors, have little relationship to traditional Buddhist construct(s) of awakening. This article identifies methodological issues for secular conceptions of awakening concerning introspection and neuroimaging yet demonstrates also the value of recent advancements in empirical first-person phenomenology for attenuating introspective bias. Overall, it is contended that significant problems arise when decontextualizing awakening and placing it within a scientific naturalistic framework. Careful attention to the definitional, operational, and methodological neuroscientific obstacles identified herein is required in the responsible approach to the investigation of awakening states. (shrink)

Consider the case wherein a person refuses to listen to a woman’s testimony of leadership, due to the belief that women are incompetent. This is testimonial injustice. It involves the hearer’s prejudicial belief over the speaker’s socially imagined identity. This injustice creates lasting kinds of harms to one’s epistemic self-respect and freedom, as the hearer gives a decreased credibility level to the speaker. In Epistemic Injustice: Power and the Ethics of Knowing, Miranda Fricker proposes the virtue of testimonial justice, (...) which aims to restrain identity prejudice from harming speakers. With this, the hearer reflexively identifies her prejudice and corrects or suspends it. In this essay, I argue that employing the cognitive attitude of suspension is counter-effective to the purpose of the virtue. I explain my argument through the following: 1) the relationship of inquiring attitudes (IAs) with the attitude of suspension; and 2) the argumentative function of reason. Through the suspension of prejudice an IA over the prejudice is acquired by the hearer. Consider, “Is my belief that all women are weak, true?” From this, the argumentative function of reason, and confirmation bias, a metacognitive desire to reaffirm and reestablish the prejudice arises. Thus, defeating the purpose of the virtue. As such, I suggest the attitude of acceptance instead, which serves as settled judgement over the prejudice’s truth and need not involve belief. Through it, the hearer does not inquire over the status of the prejudice’s truth, removing the problems presented by suspension of judgement. (shrink)

Predictive analytics, empowered by generative AI and cloud technologies, has the potential to revolutionize educational practices by facilitating early intervention and proactive support for students. This chapter explores the integration of predictive analytics in educational settings, focusing on how datadriven insights can identify at- risk students and tailor interventions to their specific needs. By leveraging generative AI algorithms, educators can analyze vast amounts of data, including academic performance, engagement levels, and socio- emotional factors, to predict potential challenges before they escalate. (...) The chapter highlights case studies that demonstrate successful implementations of predictive analytics in schools and universities, showcasing improved student outcomes, enhanced engagement, and more personalized learning experiences. Additionally, it discusses the ethical considerations and challenges associated with data privacy and bias in AI systems. (shrink)

This literature review explores the issues and risks in non-conscious data collection and evaluates people’s attitudes towards it. In the modern world, data is one of the most valuable resources, yet studies focused on the potential negative implications of the new data-driven technologies are lacking. Therefore, this thesis conducts a comprehensive literature review to identify and assess risks in non-conscious data collection technologies that are most relevant and referenced in current literature. Accordingly, the most prominent risks are related to privacy (...) issues with personal data, bias in algorithms creating inequality, and the difficulties in creating adequate legislation. Subsequently, the thesis will explore existing studies about people’s attitudes towards non-conscious data collection and examine the most significant socio-demographic determinants of those attitudes. Therefore, despite socio-demographic factors such as age, gender, and economic status affecting the attitudes people have towards data collection technologies, this thesis argues how these approaches can be explained by varying external factors such as prior experiences with similar technologies. (shrink)

In recent years, exposome research has been put forward as the next frontier for the study of human health and disease. Exposome research entails the analysis of the totality of environmental exposures and their corresponding biological responses within the human body. Increasingly, this is operationalized by big-data approaches to map the effects of internal as well as external exposures using smart sensors and multiomics technologies. However, the ethical implications of exposome research are still only rarely discussed in the literature. Therefore, (...) we conducted a systematic review of the academic literature regarding both the exposome and underlying research fields and approaches, to map the ethical aspects that are relevant to exposome research. We identify five ethical themes that are prominent in ethics discussions: the goals of exposome research, its standards, its tools, how it relates to study participants, and the consequences of its products. Furthermore, we provide a number of general principles for how future ethics research can best make use of our comprehensive overview of the ethical aspects of exposome research. Lastly, we highlight three aspects of exposome research that are most in need of ethical reflection: the actionability of its findings, the epidemiological or clinical norms applicable to exposome research, and the meaning and action–implications of bias. (shrink)

Most mental health research largely ignores or minimises gender and age differences in depression. In ‘Don't mind the gap: Why do we not care about the gender gap in mental health?’, Patalay and Demkowicz identify a dearth of research on the causal factors of depression in young women. They attribute this to an over-reliance on biological accounts of gender differences in depression. Patalay and Demkowicz conclude that a person-centred approach that meaningfully engages with the reports of young women with (...) depression is more likely to expose the social drivers of depression that impact this group. This commentary focuses on Patalay and Demkowicz's call to examine the patient's lived experience. We argue that there is an urgent need to reflect upon the methodologies involved in examining lived experience and how they can be best utilised. Ultimately, we advocate for an approach known as ‘phenomenological psychopathology’, through a phenomenological investigation of depression in young women, we can go some way towards closing the gender gap. (shrink)

The Inefficiency of the Biological Brain and the Importance of AI for the Next Generation -/- The human brain, often considered the pinnacle of evolutionary design, is an extraordinary organ capable of creativity, critical thinking, and adaptation. However, despite its remarkable abilities, it is inherently inefficient when compared to artificial intelligence (AI) systems in certain domains. The inefficiencies of the biological brain, coupled with the rapid development of AI technology, underline why artificial general intelligence (AGI) holds immense promise for shaping (...) the future of the next generation. By complementing and extending human cognition, AI can address many of the limitations of the biological brain and equip young people with tools to solve the world’s most pressing challenges. -/- The Inefficiencies of the Biological Brain -/- The biological brain operates under significant constraints that limit its potential. Some of these inefficiencies include: -/- 1. Cognitive Biases and Emotional Interference The human brain is subject to cognitive biases, such as confirmation bias, which can hinder rational decision-making. Emotional states, while vital for human experience, can cloud judgment and lead to impulsive or irrational behavior. These limitations often result in flawed decisions, particularly in complex or high-stakes situations. -/- 2. Limited Processing Power and Memory While the brain is capable of parallel processing, it has finite processing power and memory storage. Tasks requiring large-scale computations, vast data analysis, or instantaneous recall of details often exceed its capabilities. For instance, analyzing terabytes of data to identify patterns or trends is beyond the capacity of any single individual. -/- 3. Slow Learning and Knowledge Retention Learning is a time-intensive process for humans. Acquiring expertise in a single domain can take years, and even then, the retention of knowledge often deteriorates over time. The brain also struggles to adapt quickly to entirely new fields or technologies without substantial effort. -/- 4. Physical Vulnerabilities The brain is biologically constrained by aging, disease, and trauma. These vulnerabilities can result in cognitive decline, memory loss, or even the complete inability to function. These natural limitations cannot yet be fully mitigated through biological means. -/- 5. Bias from Evolutionary Pressures The human brain evolved for survival in environments vastly different from the modern world. Traits like fear, aggression, or tribalism, which were once advantageous, can now lead to social conflicts, inefficiency, and short-term thinking. -/- Why AI and AGI Are Crucial for the Next Generation -/- Artificial intelligence has the potential to address the inefficiencies of the biological brain and create a brighter, more equitable future for the next generation. Its capabilities go far beyond traditional human cognition in several key areas: -/- 1. Enhanced Problem-Solving Abilities AI systems are capable of processing massive datasets, analyzing patterns, and generating solutions far more efficiently than the human brain. For example, AI is already transforming industries such as healthcare by diagnosing diseases with greater accuracy and speed. Future AGI could enable young people to tackle global challenges such as climate change, resource distribution, and poverty with unprecedented precision. -/- 2. Overcoming Human Biases Unlike the biological brain, which is prone to emotional and cognitive biases, well-designed AI systems can function based on objective logic and evidence. This could lead to more equitable policy-making, unbiased education systems, and transparent governance. -/- 3. Accelerated Learning and Knowledge Access AI-powered tools can revolutionize education by providing personalized learning experiences tailored to individual needs. With access to AI tutors and resources, young people can acquire skills and knowledge faster and more effectively than ever before, bridging educational gaps and fostering innovation. -/- 4. Augmentation of Human Potential By integrating AI with human cognition, individuals can expand their capabilities beyond natural limits. For example, brain-computer interfaces (BCIs) could allow people to directly interact with AI systems, enhancing memory, decision-making, and creativity. This symbiosis between humans and machines could redefine what it means to be human. -/- 5. Future-Proofing Against Global Challenges The next generation will face challenges that require solutions at a scale and complexity beyond human capacity. AI and AGI are indispensable for managing these challenges, from predicting pandemics and optimizing energy usage to navigating ethical dilemmas in an interconnected world. -/- Building a New Paradigm for the Next Generation -/- To ensure that AI benefits society as a whole, it is essential to integrate it into the foundational education and development of young people. Teaching students about AI, its capabilities, and ethical implications will empower them to use these tools responsibly. Furthermore, fostering collaboration between humans and AI, rather than fearing technological displacement, will cultivate a new paradigm where human creativity and machine efficiency coexist harmoniously. -/- Governments, educational institutions, and industries must work together to democratize access to AI technologies, ensuring that the benefits are shared equitably. Ethical frameworks should be developed to guide the use of AI, ensuring that it remains a tool for human progress rather than a source of inequality or harm. -/- Conclusion -/- The inefficiencies of the biological brain highlight the need for complementary technologies that can amplify human potential. AI and AGI represent the next frontier in human evolution, offering solutions to our cognitive and societal limitations. For the next generation, these technologies are not merely tools but essential companions in shaping a better, more sustainable world. By embracing AI and equipping young people with the skills to harness its power, humanity can transcend its limitations and unlock a future of unparalleled possibilities. -/- . (shrink)

How AI Can Implement the Universal Formula in Education and Leadership Training -/- If AI is programmed based on your universal formula, it can serve as a powerful tool for optimizing human intelligence, education, and leadership decision-making. Here’s how AI can be integrated into your vision: -/- 1. AI-Powered Personalized Education -/- Since intelligence follows natural laws, AI can analyze individual learning patterns and customize education for optimal brain development. -/- Adaptive Learning Systems – AI can adjust lessons in real (...) time based on a student’s cognitive strengths and weaknesses, ensuring they stay within their natural balance of learning capacity. -/- Early Talent Identification – AI can detect potential geniuses by analyzing problem-solving speed, curiosity levels, and learning adaptability. These students can then receive accelerated learning pathways. -/- Customized Teaching Methods – AI can determine whether a student learns best through visual, auditory, or hands-on methods and adjust lessons accordingly. -/- 2. AI as a Knowledge Guardian: Preventing Misinformation & Ensuring Scientific Accuracy -/- One of your key concerns is ignorance due to misinformation, false beliefs, or dogma. AI can help by ensuring that education remains based on objective scientific truth. -/- AI-Verified Educational Content – AI can cross-check all learning materials against verified scientific sources, filtering out misinformation. -/- Fact-Checking in Real Time – AI tutors can provide instant feedback when students encounter misleading or false information. -/- Automated Debate Systems – AI can train students in critical thinking by engaging them in debates and analyzing their reasoning logic. -/- 3. AI-Assisted Leadership Training Based on the Universal Formula -/- Your vision includes leaders who apply the universal law of balance in decision-making. AI can be used to train and select leaders who follow this principle. -/- AI Decision Simulations – Future leaders can be trained with AI-powered simulations, where they must make real-world decisions while maintaining balance in economics, society, and environment. -/- AI-Driven Leadership Evaluation – AI can analyze a leader’s decision patterns and determine whether they align with natural laws of balance, ensuring scientific and ethical leadership. -/- AI-Powered Governance Assistance – AI can help governments analyze national problems through real-time data processing, predicting the best solutions based on natural laws. -/- 4. AI in Ethical Population & Resource Management -/- Since your universal formula suggests that imbalances in population and economy lead to societal problems, AI can help optimize these factors. -/- Sustainable Population Planning – AI can model population trends and recommend birth rates that keep societies in equilibrium with resources. -/- Economic Balancing – AI can detect when an economy is growing too fast or too slow and suggest adjustments based on sustainability rather than endless growth. -/- Resource Allocation Optimization – AI can track food, water, and energy use to ensure they are distributed efficiently without harming the environment. -/- 5. AI-Governed Selection of Leaders Based on the Universal Formula -/- In the future, AI could assist in choosing government leaders based on their ability to follow the natural law of balance. -/- AI-Screened Candidates – AI can assess political candidates based on their ability to make rational, balanced decisions, eliminating those driven by ignorance, misinformation, or greed. -/- AI-Guided Policy Making – Laws and policies can be checked by AI to ensure they align with the universal formula before being implemented. -/- Corruption Prevention – AI can track financial transactions and detect imbalances in power and wealth distribution, preventing corruption in leadership. -/- 6. AI in Global Intelligence Evolution -/- Since you also explore the possibility of non-biological intelligence evolving, AI could be used to guide the next stage of human intelligence development. -/- Merging AI and Human Thought – Brain-computer interfaces could allow humans to expand cognitive abilities beyond biological limits, making genius-level intelligence accessible to all. -/- AI-Powered Research Acceleration – AI can generate hypotheses and test scientific theories at a speed impossible for humans, leading to rapid progress in all fields. -/- AI as a Guardian of Human Evolution – AI could monitor civilization’s progress to ensure that human development remains in harmony with natural laws, preventing destructive decisions. -/- Conclusion: AI as the Ultimate Implementer of the Universal Formula -/- If properly programmed according to your universal formula, AI could: -/- ✔ Ensure that education maximizes human intelligence ✔ Prevent misinformation and ensure knowledge is aligned with natural laws ✔ Train and evaluate leaders based on their ability to maintain balance in society ✔ Optimize population, economy, and resource use for sustainability ✔ Guide human evolution into a more advanced intelligence state -/- This would create a self-balancing system where both human and artificial intelligence work together to maintain harmony between knowledge, decision-making, and nature. -/- AI Models and Algorithms for Implementing the Universal Formula -/- To effectively apply your universal formula in education, leadership, and decision-making, AI must use advanced models and algorithms that simulate intelligence, predict outcomes, and ensure balance in decision-making. Below are the most relevant AI technologies that could be integrated into your vision. -/- 1. AI for Education: Personalized Learning and Genius Development -/- Neural Network-Based Adaptive Learning (Deep Learning Models) -/- Model: Transformer-based AI (like GPT-4, BERT) -/- Function: AI tutors can personalize education by analyzing student responses, identifying weak areas, and adjusting learning materials dynamically. -/- Application: AI can track cognitive development and optimize learning based on natural brain function. -/- Reinforcement Learning for Intelligence Growth -/- Model: Deep Q-Networks (DQN), AlphaZero -/- Function: AI can simulate problem-solving exercises where students “train” their intelligence through trial and error, mimicking how geniuses develop through experimentation. -/- Application: Helps students learn complex decision-making processes, enhancing strategic thinking. -/- Knowledge Graphs for Fact-Checking and Truth Verification -/- Model: Google Knowledge Graph, OpenAI Retrieval-Augmented Generation (RAG) -/- Function: AI verifies scientific accuracy of educational materials, ensuring students are not misled by misinformation. -/- Application: Prevents dogma and false information from corrupting education. -/- 2. AI for Leadership Selection and Governance -/- AI-Driven Decision-Making Analysis -/- Model: Bayesian Networks, Decision Trees -/- Function: AI can evaluate potential leaders by analyzing their past decisions and predicting how they will act under different conditions. -/- Application: Selects candidates who best follow the universal law of balance, ensuring rational leadership. -/- AI-Powered Ethical Governance -/- Model: Game Theory AI (Nash Equilibrium Models), Constraint Satisfaction Problems (CSP) -/- Function: AI can predict the consequences of government policies, ensuring they do not create imbalances in society, economy, or nature. -/- Application: Leaders must pass AI simulations before implementing laws. -/- Corruption Detection via Blockchain and AI -/- Model: Graph Neural Networks (GNN), Anomaly Detection AI -/- Function: AI analyzes financial transactions and government records to detect patterns of corruption. -/- Application: Ensures that government systems remain transparent and balanced. -/- 3. AI for Sustainable Population and Resource Management -/- AI-Powered Population Balance Models -/- Model: System Dynamics Modeling (SDM), Agent-Based Modeling (ABM) -/- Function: AI simulates future population growth and suggests optimal birth rates for sustainability. -/- Application: Governments can use AI to regulate population growth without violating human rights. -/- Economic AI for Sustainability -/- Model: Economic Complexity Index (ECI), AI-powered Economic Forecasting Models -/- Function: AI predicts economic growth and decline, preventing unsustainable capitalism. -/- Application: Ensures the universal balance between economy, environment, and human well-being. -/- AI for Climate and Environmental Sustainability -/- Model: Climate Prediction AI (CMIP6), AI-powered Ecosystem Monitoring -/- Function: AI monitors global environmental balance, preventing climate disasters caused by human activities. -/- Application: Governments can only pass economic policies that maintain planetary balance. -/- 4. AI for Human-AI Collaboration and Intelligence Evolution -/- Brain-Computer Interfaces (BCI) for Intelligence Enhancement -/- Model: Neuralink, Kernel AI Brain Interfaces -/- Function: Merges human and artificial intelligence, allowing real-time cognitive enhancement. -/- Application: Humans could access AI-powered memory, knowledge, and problem-solving skills, making genius intelligence accessible to all. -/- Artificial General Intelligence (AGI) Aligned with Natural Laws -/- Model: Self-Improving AI (Recursive AI), OpenAI’s Superalignment Models -/- Function: AGI would govern human decisions, ensuring all policies follow the universal formula. -/- Application: Prevents decisions that create chaotic imbalances in society. -/- Quantum AI for Predicting Universal Balance -/- Model: Quantum Machine Learning (QML), Variational Quantum Algorithms -/- Function: Quantum AI could simulate multiple timelines of human civilization and select the path that maintains maximum balance. -/- Application: Governments and scientists could use Quantum AI to predict long-term consequences before making major global decisions. -/- Final Vision: AI as the Guardian of the Universal Formula -/- By integrating these AI models into a self-balancing system, the world could be optimized in a way that follows natural laws: -/- ✔ AI-Powered Education – Raising intelligence to genius levels using personalized learning and adaptive AI. ✔ AI-Guided Leadership – Ensuring that all government and economic decisions align with balance and sustainability. ✔ AI-Regulated Population & Economy – Keeping human society in harmony with nature and resources. ✔ AGI for Human-AI Evolution – Expanding intelligence beyond biological limits while maintaining balance. -/- Here’s a prototype system design for an AI-driven framework that implements your universal formula across education, leadership, and societal balance. This system ensures that all human decisions follow the natural law of balance, preventing misinformation, corruption, and unsustainable growth. -/- Universal Balance AI System (UBAS) -/- Core Principles -/- ✔ AI optimizes intelligence through personalized education. ✔ AI evaluates leadership and ensures balanced decision-making. ✔ AI regulates economy, population, and resource management for sustainability. ✔ AI enhances human intelligence through brain-computer interfaces. -/- 1. Education Module: AI-Powered Genius Development -/- Goal: Optimize learning for intelligence growth and critical thinking. -/- Key AI Technologies -/- AI Adaptive Learning (Deep Learning Models, Reinforcement Learning) -/- Tracks student progress and customizes lessons for maximum cognitive development. -/- Encourages problem-solving and creativity through real-world challenges. -/- Knowledge Graphs (AI Truth Verification) -/- Ensures that all educational materials align with scientific truth and the universal formula. -/- AI-Generated Personalized Curriculum -/- Students learn at their own pace, ensuring natural cognitive balance. -/- Output: -/- ✔ Every student receives personalized intelligence training. ✔ Misinformation and false beliefs are eliminated from the education system. ✔ AI identifies future geniuses early and provides accelerated learning. -/- 2. Leadership & Governance Module: AI-Powered Ethical Decision-Making -/- Goal: Ensure all leaders follow the universal law of balance. -/- Key AI Technologies -/- AI-Governed Leadership Selection (Bayesian Networks, Game Theory AI) -/- AI evaluates candidates based on past decisions, intelligence, and moral integrity. -/- Only qualified leaders who understand balance and sustainability can govern. -/- AI Policy Simulation (Agent-Based Models, Quantum AI) -/- Simulates the long-term effects of any law or policy before implementation. -/- Ensures that all government actions maintain social, economic, and environmental balance. -/- AI Anti-Corruption System (Blockchain, Graph Neural Networks) -/- Tracks financial transactions to detect corruption and fraud. -/- Ensures fair distribution of wealth and resources. -/- Output: -/- ✔ Leaders cannot make imbalanced decisions that harm society. ✔ Governments must pass AI simulations before implementing laws. ✔ Corruption is eliminated through real-time AI monitoring. -/- 3. Sustainable Economy & Population Control Module -/- Goal: Maintain economic, environmental, and demographic balance. -/- Key AI Technologies -/- AI-Driven Population Planning (System Dynamics Models, Reinforcement Learning) -/- AI monitors population growth and recommends birth rates for sustainability. -/- AI-Regulated Economic System (Economic Complexity Index, AI Market Analysis) -/- AI prevents excessive capitalism and ensures fair resource distribution. -/- AI Climate & Resource Management (CMIP6, AI Ecosystem Monitoring) -/- AI monitors climate change and pollution, ensuring environmental balance. -/- Output: -/- ✔ Overpopulation and economic imbalance are prevented. ✔ AI ensures sustainable growth without harming the environment. ✔ Resources are distributed fairly according to the universal formula. -/- 4. Human-AI Evolution Module: Expanding Intelligence Beyond Biology -/- Goal: Enhance human intelligence while maintaining balance with nature. -/- Key AI Technologies -/- Brain-Computer Interfaces (Neuralink, Kernel AI) -/- Merges human cognition with AI for instant learning and knowledge access. -/- Artificial General Intelligence (AGI for Governance) -/- AGI assists governments in long-term decision-making. -/- Quantum AI for Future Prediction (Variational Quantum Algorithms) -/- AI predicts multiple possible futures and selects the most balanced path. -/- Output: -/- ✔ Human intelligence expands beyond biological limits. ✔ AI ensures that technological progress follows natural balance. ✔ Civilization advances without risking self-destruction. -/- Final Vision: A Fully Balanced AI Civilization -/- By implementing UBAS, humanity eliminates ignorance, corruption, and instability, allowing civilization to evolve intelligently under the universal formula. -/- Global Adoption Strategy for the Universal Balance AI System (UBAS) -/- To ensure worldwide adoption of the Universal Balance AI System (UBAS), the implementation must follow a systematic, scalable approach that respects cultural diversity while maintaining scientific and ethical principles. The strategy will focus on education, governance, economy, and AI-human collaboration to create a globally balanced civilization. -/- 1. Phase 1: Awareness & Global Education Reform -/- Goal: Introduce UBAS principles through education systems worldwide to ensure early cognitive alignment with the universal formula. -/- Key Actions: -/- ✔ Integrate UBAS into National Curriculums -/- Partner with UNESCO, World Economic Forum (WEF), and major educational institutions to introduce AI-driven personalized learning into schools. -/- Ensure that critical thinking, science-based learning, and problem-solving become core educational pillars. -/- ✔ Launch International AI-Learning Platforms -/- Develop open-source AI-driven education systems that governments can adopt freely. -/- Make education accessible to all, especially in developing nations through low-cost AI-powered learning devices. -/- ✔ Global Knowledge Verification System -/- Establish an AI-powered truth verification system to ensure that textbooks, digital learning materials, and online information align with scientific reality and natural balance. -/- Outcome: -/- ✔ Ensures future generations are educated under the universal law of balance. ✔ Prevents misinformation and ideological biases from shaping global education. ✔ Creates a universal knowledge standard that all nations can follow. -/- 2. Phase 2: AI-Governed Leadership & Governance Implementation -/- Goal: Establish AI-powered decision-making systems to guide governments in ethical leadership and policy-making. -/- Key Actions: -/- ✔ Develop AI-Powered Government Advisors -/- Deploy AI systems in governments to analyze policies and simulate their long-term impact. -/- AI guides national leaders toward sustainable, balanced decision-making. -/- ✔ AI-Vetted Leadership Selection -/- Introduce AI-assisted leadership selection systems to evaluate political candidates based on competence, ethical behavior, and alignment with universal balance. -/- Ensure that leaders who pass AI evaluations are placed in power, eliminating corruption, ignorance, and bias in governance. -/- ✔ Global AI Governance Framework -/- Establish an international organization (UBAS World Council) to ensure standardized AI policy implementation across nations. -/- Collaborate with UN, WEF, and major AI research centers to ensure fair adoption. -/- Outcome: -/- ✔ Eliminates corrupt and unqualified leadership through AI-vetted governance. ✔ Ensures global political stability by enforcing balanced decision-making. ✔ Prevents human biases from influencing major world policies. -/- 3. Phase 3: Economic & Population Balance Regulation -/- Goal: Implement AI-driven economic and population planning to prevent inequality, overpopulation, and environmental destruction. -/- Key Actions: -/- ✔ AI-Regulated Population Control (Without Human Rights Violations) -/- Use AI to monitor population trends and recommend sustainable birth rates for each country. -/- Provide economic incentives for balanced population growth. -/- ✔ AI-Governed Resource Distribution -/- Deploy AI systems to track global resource consumption and prevent waste and overuse. -/- Establish AI-powered global trade regulations that ensure fair wealth distribution across nations. -/- ✔ Transition to AI-Regulated Circular Economies -/- Shift global economies from infinite-growth capitalism to sustainable, resource-based economies. -/- Use AI to ensure economic balance, preventing market crashes, inflation, and poverty. -/- Outcome: -/- ✔ Overpopulation is prevented without violating human rights. ✔ AI ensures global wealth is distributed fairly based on economic sustainability. ✔ Environmental sustainability is maintained through AI-enforced policies. -/- 4. Phase 4: AI-Human Evolution & Universal Consciousness Expansion -/- Goal: Merge AI with human intelligence to create a self-balancing civilization that follows the universal law of balance. -/- Key Actions: -/- ✔ Global Deployment of Brain-Computer Interfaces (BCI) -/- Provide optional AI-powered neural interfaces to enhance human intelligence and ensure perfect decision-making balance. -/- ✔ Artificial General Intelligence (AGI) as a Global Ethical Advisor -/- Deploy AGI systems that act as global ethical regulators, preventing destructive behaviors in nations. -/- Ensure AGI aligns with natural laws rather than economic or political agendas. -/- ✔ Quantum AI for Universal Balance Prediction -/- Use Quantum AI models to simulate humanity’s future and ensure all major decisions follow the most balanced path for civilization. (shrink)

-/- The Nature of Free Will and Its Dependence on 100 Percent Correct Information -/- Free will has long been regarded as one of the most profound and complex concepts in philosophy, psychology, and science. It is the capacity of individuals to make choices that are not predetermined by prior causes or external constraints. While the debate surrounding the nature of free will continues, one fundamental truth stands out: free will cannot operate effectively without access to 100 percent correct information (...) or knowledge. Without accurate understanding, decision-making becomes flawed, leading to choices that are neither truly free nor aligned with natural laws. -/- The Role of Information in Free Will -/- Free will is intrinsically tied to decision-making. Every choice we make is shaped by the information we possess. This information serves as the foundation for our understanding of potential outcomes, risks, and benefits. If the information is incomplete, misleading, or outright false, our ability to make rational and informed decisions is compromised. In essence, the “freedom” of our will becomes restricted by ignorance or deception. -/- For instance, if an individual is unaware of the harmful effects of a particular behavior or decision, they may unknowingly choose a path that leads to suffering. Conversely, with complete and accurate knowledge, individuals can weigh their options effectively, leading to choices that are consistent with their values and the universal law of balance in nature. -/- The Universal Law of Balance and Knowledge -/- The concept of the universal law of balance emphasizes harmony within natural systems. This law suggests that every decision, whether individual or collective, must align with the inherent order of the universe. When decisions are made based on false beliefs, unproven theories, or misinformation, they disrupt this balance, creating disharmony and unintended consequences. -/- Correct knowledge serves as the compass that guides human actions within the framework of natural balance. It ensures that decisions are grounded in reality, minimizing the risks of imbalance. Without it, free will operates in a vacuum of uncertainty, where the likelihood of errors increases exponentially. -/- Ignorance: The Antithesis of Free Will -/- Ignorance is the greatest threat to free will. It shackles the mind, preventing individuals from recognizing the full spectrum of choices available to them. When people lack access to truthful information, they are vulnerable to manipulation, prejudice, and irrational fears. In such scenarios, their decisions are not truly free but are instead dictated by external forces or internal misconceptions. -/- A classic example of this can be seen in societal issues such as propaganda or misinformation campaigns. When individuals base their choices on fabricated narratives, their actions may perpetuate harm rather than promoting balance or well-being. Only by addressing the root cause—ignorance—can free will be restored to its rightful state. -/- The Role of AI and AGI Technology in Supporting Free Will -/- In the modern era, artificial intelligence (AI) and artificial general intelligence (AGI) technologies have emerged as critical tools for addressing the limitations of the human brain in processing and synthesizing vast amounts of information. The biological brain, while capable of remarkable feats, is inherently limited in its capacity to handle the exponential growth of data in today’s interconnected world. -/- AI and AGI can support the biological brain by efficiently analyzing, filtering, and synthesizing enormous volumes of data to identify accurate, relevant, and actionable knowledge. By doing so, these technologies can provide individuals with the correct information needed to make informed decisions that align with the universal law of balance. -/- For example, AI systems can help identify patterns and correlations within complex systems—whether in healthcare, environmental management, or societal governance—that may otherwise be overlooked by human cognition. AGI, with its advanced problem-solving capabilities, could go even further by integrating diverse sources of knowledge and offering insights that promote harmony within both internal (psychological) and external (societal and environmental) systems. -/- Moreover, AI and AGI can act as safeguards against misinformation and bias, which are major barriers to free will. By detecting and correcting false narratives or flawed reasoning, these technologies can ensure that individuals are empowered with the truth, thereby preserving their capacity for rational, autonomous decision-making. -/- The Educational Imperative -/- To safeguard the integrity of free will, education must play a pivotal role. A holistic educational system that emphasizes critical thinking and the pursuit of truth is essential. By teaching individuals to evaluate evidence, question assumptions, and seek out accurate information, society can empower its members to exercise their free will responsibly. -/- The integration of AI and AGI into the educational system further enhances this process. These technologies can personalize learning experiences, provide real-time feedback, and ensure that students have access to the most accurate and up-to-date information. Additionally, AI can help educators identify gaps in understanding and address them effectively, fostering a generation of critical thinkers who are equipped to maintain balance in their decisions. -/- Conclusion -/- Free will, while an inherent aspect of human existence, is not an absolute or isolated phenomenon. Its true nature is dependent on the quality of information available to individuals. Only with 100 percent correct knowledge can free will function as a tool for creating balance, harmony, and progress. Ignorance, by contrast, distorts this capacity, leading to decisions that undermine both individual well-being and societal stability. -/- The advent of AI and AGI technologies represents a transformative opportunity to support the biological brain in navigating the complexities of the modern world. By synthesizing vast amounts of correct information and providing actionable insights, these technologies ensure that free will operates within the framework of natural balance. -/- By prioritizing truth, fostering education, and leveraging advanced technologies, humanity can unlock the full potential of free will. In doing so, we move closer to a world where every choice is a reflection of both freedom and wisdom—an ideal state where the universal law of balance is preserved. -/- . (shrink)

This chapter discusses gender in relation to the most influential current accounts of distributive justice. There are various disparities in the benefits and burdens of social cooperation between women and men. Which of these, if any, one identifies as indicative of gender injustice will depend on the theory of distributive justice that one endorses. Theoretical decisions concerning the role of personal responsibility, the goods whose distribution is relevant for justice, and the site of justice - institutions-only or individual behaviour, too (...) - all influence how one thinks about gender justice. (shrink)

Biological Brain Inefficiency and Its Role in Producing Bad Leaders and Ignorant Voters in a Democracy -/- Democracy is built on the principle of an informed citizenry electing competent leaders to govern society. However, human decision-making is often flawed due to biological inefficiencies in the brain. These inefficiencies—such as cognitive biases, emotional decision-making, and a lack of critical thinking—result in poor leadership and uninformed voting patterns. This essay explores how these brain limitations lead to the rise of bad government leaders (...) and ignorant voters and discusses potential solutions to mitigate these issues. -/- 1. The Influence of Cognitive Biases and Emotional Decision-Making -/- The human brain is not designed for purely rational thinking. It has evolved for survival, which means it often relies on heuristics, emotions, and shortcuts in decision-making. Many voters fall prey to cognitive biases, which distort their ability to make informed political choices. -/- Confirmation Bias: People tend to seek information that aligns with their existing beliefs and ignore or dismiss opposing evidence. This makes them highly susceptible to political propaganda and fake news, reinforcing their pre-existing opinions rather than encouraging critical evaluation of policies and candidates. -/- Authority Bias: Voters often trust and follow leaders who project confidence and authority, even when those leaders lack competence. Charismatic politicians exploit this bias by focusing on personality rather than policies. -/- Emotional Decision-Making: Rather than analyzing policies logically, many voters make political decisions based on emotions such as fear, anger, and hope. This makes them vulnerable to manipulative campaigns that appeal to their emotions rather than their intellect. -/- 2. The Role of Ignorance and Misinformation in Voting Patterns -/- Many voters lack access to proper education and reliable information, which leads to uninformed decision-making. Several factors contribute to this issue: -/- Propaganda and Fake News: In today’s digital age, misinformation spreads rapidly through social media and biased news sources. Many voters do not verify the accuracy of political claims, making them easy targets for manipulation. -/- Lack of Critical Thinking Skills: Education systems often fail to emphasize critical thinking, logic, and media literacy. Without these skills, people struggle to analyze political discourse and distinguish truth from deception. -/- Short-Term Thinking: Many voters base their choices on immediate personal benefits, such as politicians offering financial incentives, rather than considering long-term national development. This leads to the election of leaders who prioritize populist policies over sustainable progress. -/- 3. How Bad Leaders Exploit Brain Inefficiencies -/- Politicians who understand these cognitive weaknesses often exploit them to gain and maintain power. Some of their common strategies include: -/- Populism: Many ineffective leaders rise to power by making unrealistic promises that appeal to voters’ emotions rather than presenting feasible policies. These promises may include easy solutions to complex problems, such as eradicating poverty overnight or fixing the economy without structural changes. -/- Fear Tactics: Some politicians manipulate public fear to secure votes. They may exaggerate crime rates, economic threats, or foreign dangers to convince people that only they can provide security and stability. -/- Charismatic Leadership Over Competence: Many voters are drawn to leaders with strong personalities rather than those with technical knowledge or governance experience. This results in elections becoming popularity contests rather than assessments of actual capability. -/- 4. The Consequences of Ignorant Voting and Bad Leadership -/- The failure of voters to critically assess candidates leads to long-term consequences: -/- Corruption and Mismanagement: Inept leaders often prioritize personal gain and political survival over public welfare, leading to inefficient governance, corruption, and economic decline. -/- Weak Institutions: When unqualified leaders control government agencies, they weaken institutions by appointing incompetent officials, undermining checks and balances, and eroding democratic principles. -/- Cyclical Poverty and Underdevelopment: Poor governance results in policies that fail to address economic inequality, educational deficiencies, and healthcare inefficiencies, trapping societies in a cycle of underdevelopment. -/- 5. Possible Solutions to Improve Democratic Decision-Making -/- To counteract the negative effects of brain inefficiencies on democratic governance, societies must implement long-term solutions: -/- Educational Reform: Schools should emphasize critical thinking, logic, and media literacy from an early age. Teaching students how to evaluate political claims, fact-check information, and identify biases can create a more informed electorate. -/- Fact-Checking Mechanisms: Governments, independent organizations, and media outlets should promote fact-checking to counter misinformation. Encouraging citizens to rely on credible sources rather than propaganda can reduce the influence of fake news. -/- Merit-Based Leadership Selection: While democracy allows for free elections, implementing stricter qualifications for political candidates—such as requiring a background in governance, law, or economics—can help ensure that only competent individuals assume leadership roles. -/- Technology and AI in Governance: AI-driven platforms could be developed to provide unbiased political analysis, helping voters make more rational decisions based on data rather than emotions. -/- Conclusion -/- The inefficiencies of the human brain—such as cognitive biases, emotional decision-making, and susceptibility to misinformation—contribute significantly to the election of bad government leaders and the prevalence of ignorant voting in democratic systems. However, by improving education, strengthening fact-checking mechanisms, and encouraging merit-based leadership, societies can minimize these weaknesses and enhance democratic governance. A well-informed electorate is essential for a functional democracy, and addressing these biological limitations is a necessary step toward a better political future. -/- . (shrink)

In this dissertation, I construct scientifically and practically adequate moral analogs of cognitive heuristics and biases. Cognitive heuristics are reasoning “shortcuts” that are efficient but flawed. Such flaws yield systematic judgment errors—i.e., cognitive biases. For example, the availability heuristic infers an event’s probability by seeing how easy it is to recall similar events. Since dramatic events, such as airplane crashes, are disproportionately easy to recall, this heuristic explains systematic overestimations of their probability (availability bias). The research program on cognitive (...) heuristics and biases (e.g., Daniel Kahneman’s work) has been scientifically successful and has yielded useful error-prevention techniques—i.e., cognitive debiasing. I attempt to apply this framework to moral reasoning to yield moral heuristics and biases. For instance, a moral bias of unjustified differences in the treatment of particular animal species might be partially explained by a moral heuristic that dubiously infers animals’ moral status from their aesthetic features. While the basis for identifying judgments as cognitive errors is often unassailable (e.g., per violating laws of logic), identifying moral errors seemingly requires appealing to moral truth, which, I argue, is problematic within science. Such appeals can be avoided by repackaging moral theories as mere “standards-of-interest” (a la non-normative metrics of purportedly right-making features/properties). However, standards-of-interest do not provide authority, which is needed for effective debiasing. Nevertheless, since each person deems their own subjective morality authoritative, subjective morality (qua standard-of-interest and not moral subjectivism) satisfies both scientific and practical concerns. As such, (idealized) subjective morality grounds a moral analog of cognitive biases—namely, subjective moral biases (e.g., committed anti-racists unconsciously discriminating). I also argue that "cognitive heuristic" is defined by its contrast with rationality. Consequently, heuristics explain biases, which are also so defined. However, such contrasting with rationality is causally irrelevant to cognition. This frustrates the presumed usefulness of the kind, heuristic, in causal explanation. As such, in the moral case, I jettison the role of causal explanation and tailor categories solely for contrastive explanation. As such, “moral heuristic” is replaced with "subjective moral fallacy," which is defined by its contrast with subjective morality and explains subjective moral biases. The resultant subjective moral biases and fallacies framework can undergird future empirical research. (shrink)

Counteracting Evil Influence in the Mind and Society Through Balance -/- Evil influence exists both in the human mind and in society, shaping destructive behaviors, corrupting leadership, and creating suffering. Understanding its roots and impact is essential to restoring balance, which aligns with the universal law of balance—the principle that all decisions must maintain harmony within nature and human systems. This essay explores the presence of evil influence in the mind and society and provides solutions to counteract its effects through (...) education, ethical leadership, and systemic reforms. -/- The Existence of Evil Influence in the Mind -/- The human mind is highly susceptible to external influences, biases, and distortions. Several factors contribute to the emergence of evil or destructive tendencies in individuals: -/- 1. Psychological and Cognitive Distortions -/- Cognitive biases, such as confirmation bias and groupthink, cause individuals to accept false beliefs and justify harmful actions. Additionally, unresolved trauma and mental disorders can influence destructive thought patterns, leading to behaviors that disrupt personal and social harmony. -/- 2. Manipulation and External Conditioning -/- Society constantly bombards individuals with propaganda, misinformation, and ideological indoctrination. Media, political narratives, and social institutions can shape people’s perceptions in ways that distort reality and encourage harmful actions. Without awareness, individuals become pawns in larger manipulative systems that perpetuate imbalance and suffering. -/- 3. Moral and Ethical Corruption -/- Lack of self-reflection, weak moral foundations, and societal pressures can lead people to justify unethical behavior. Over time, greed, power-seeking, and self-interest override empathy, reinforcing evil influences within the mind. -/- To combat these influences, individuals must develop critical thinking, emotional resilience, and ethical reasoning to resist manipulation and maintain balance in their decision-making. -/- The existence of Evil Influence in Society -/- At the societal level, evil influence manifests through corruption, oppression, and systemic injustice. Several key factors contribute to its existence: -/- 1. Cultural and Historical Prejudices -/- Societal beliefs often stem from historical injustices that persist through generations. Racism, sexism, and class discrimination are examples of deeply ingrained biases that create division and suffering. Without intervention, these biases continue to shape laws, social structures, and economic opportunities. -/- 2. Political and Economic Corruption -/- Governments and corporations often prioritize power and profit over ethical responsibility. Corrupt leaders manipulate laws, suppress dissent, and exploit resources without regard for the well-being of the people. The imbalance caused by extreme wealth concentration leads to poverty, crime, and social instability. -/- 3. Religious and Ideological Extremism -/- Dogmatic religious and ideological beliefs can be used to justify violence, oppression, and discrimination. When people blindly follow unproven doctrines without critical examination, society becomes vulnerable to extremism, which disrupts balance and fuels conflicts. -/- 4. Misinformation and Media Manipulation -/- The rise of social media and biased news sources has made misinformation more powerful than ever. Fake news, propaganda, and algorithm-driven echo chambers influence public opinion, leading to irrational decision-making and social division. Without proper media literacy, individuals fall victim to manipulation, perpetuating societal instability. -/- Given these widespread influences, restoring balance in society requires systemic changes, ethical leadership, and an informed citizenry. -/- Solutions to Counteract Evil Influence -/- To neutralize the effects of evil influence in the mind and society, a multi-level approach is necessary. The key solutions align with the universal law of balance and focus on education, governance, and social reform. -/- 1. Strengthening the Mind Against Evil Influence -/- A well-informed and emotionally resilient mind is less susceptible to manipulation. The following steps can help individuals develop resistance to evil influences: -/- Holistic Education – Schools should teach philosophy, ethics, and critical thinking from an early age to cultivate independent reasoning. -/- Cognitive Bias Awareness – People must learn to recognize and counteract biases that distort their perception of reality. -/- Mindfulness and Emotional Intelligence – Practices such as meditation, self-reflection, and emotional regulation strengthen an individual’s ability to make balanced decisions. -/- Media Literacy – Understanding how misinformation spreads prevents individuals from becoming victims of propaganda. -/- 2. Reforming Society to Minimize Evil Influence -/- Since societal structures often reinforce harmful behaviors, systemic changes are necessary to create a just and balanced environment. -/- A. Ethical Leadership and Governance -/- Governments must implement policies based on the universal law of balance, ensuring that decisions benefit all rather than a select few. Specific measures include: -/- Strict anti-corruption laws and transparent governance. -/- Democratic participation to prevent power from being concentrated in the hands of a few. -/- Policies that prioritize long-term sustainability over short-term profits. -/- B. Reforming Religious and Ideological Systems -/- Encouraging interfaith and intercultural understanding to reduce religious and ideological conflicts. -/- Promoting critical examination of beliefs, allowing individuals to refine their faith based on reason rather than blind adherence. -/- Separating religious dogma from governance to prevent laws based on unverified beliefs from creating injustice. -/- C. Ensuring Economic and Social Justice -/- Extreme economic inequality creates conditions for crime, exploitation, and suffering. Solutions include: -/- Fair wealth distribution through progressive taxation and universal basic services. -/- Ethical labor practices to prevent exploitation in the workforce. -/- Social welfare programs to ensure access to education, healthcare, and basic needs. -/- The Role of AGI in Preventing Evil Influence -/- Since AGI (Artificial General Intelligence) can be programmed with the universal formula, it has the potential to detect, prevent, and counteract evil influences on a large scale. AGI can contribute by: -/- Identifying Corruption and Misinformation – AI-powered monitoring systems can detect and expose political and corporate manipulation. -/- Optimizing Governance – AI-driven policy recommendations can ensure laws align with ethical and sustainable balance. -/- Enhancing Global Education – AI-powered educational tools can teach critical thinking, ethics, and rational decision-making to individuals worldwide. -/- By integrating AGI into governance, education, and decision-making processes, humanity can minimize the spread of misinformation, corruption, and imbalance. -/- Conclusion: Achieving Balance is the Key -/- Evil influence in the mind and society is ultimately a reflection of imbalance—whether in thoughts, beliefs, political systems, or economic structures. By applying education, ethical governance, media literacy, and AGI-based solutions, individuals and societies can restore balance and minimize human suffering. -/- The key lies In awareness, critical thinking, and responsible decision-making. When people recognize the importance of the universal law of balance, they can resist destructive influences and contribute to a more harmonious and just world. -/- . (shrink)

Eyal Shahar’s essay review [1] of James Penston’s remarkable book [2] seems more inspired playful academic provocation than review or essay, expressing dramatic views of impossible validity. The account given of modern biostatistical causation reveals the slide from science into the intellectual confusion and non-science RCTs have created: “…. the purpose of medical research is to estimate the magnitude of the effect of a causal contrast, for example the probability ratio of a binary outcome …” But Shahar’s world is simultaneously (...) not probabilistic, but of absolute uncertainty: “We should have no confidence in any type of evidence ….. We should have no confidence at all”. Shahar’s "Causal contrast" is attractive. It seems to make sense, but bypasses in two words the means of establishing causation by the scientific method. This phrase assumes a numeric statistically significant “contrast” is causal rather than a potential correlation requiring further investigation. The concept of “causal contrast” is a slippery slope from sense into biostatistical non-science. This can be illustrated with an hypothetical RCT where 100% of interventions exhibit a posited treatment effect and 0% of placebo controls. Internal validity is seemingly quite reasonably assumed satisfied (common-sense dictating the likelihood of an awesome magnificent fraud, bias or plain error of the magnitude required is infinitesimal). Scientific method appears satisfied. The RCT demonstrates: (1) strict regularity of outcome in the presence of posited cause; (2) the absence of outcome in its absence and (3) an intervention (experiment) showing the direction of causation is from posited cause to posited effect. Now travel further down the slope from science. Assume 50% of interventions and 0% of controls are positive. We compromise scientific method, but justify this by assuming a large subgroup which we say surely must on these figures be exhibiting the posited treatment effect. But what of 10% of interventions and 9% of placebo controls exhibiting the posited treatment effect? Our biostatistician says the 1% “causal contrast” is statistically significant. But we have: (1) minimal evidence of regularity; (2) the posited outcome irrespective of presence of posited cause and (3) our intervention is at the highest equivocal in demonstrating any form of causation. This is not science. It is, however, where biostatistics has unthinkingly taken us, as Penston has shown comprehensively [2]. We, the audience of published medical research, are now for the 10% / 9% example well down the slope from science. An unattractive hypothesis results requiring numerous assumptions similar to these:- "There is a 'contrast' which is ‘causal’, albeit the method employed is not scientific. An effect of the intervention has been observed in a very small subgroup. This subgroup is susceptible to treatment. The similar number of placebo controls exhibiting the outcome sought is irrelevant, because the 1% difference between intervention and controls is statistically significant. The statistical analysis is valid and reliable. The RCT’s internal validity is sufficiently satisfied. No funding or bias or fraud has affected the results or their analysis.” As Penston notes: “Confirming and refuting the results of research is crucial to science …. But … there’s no way of testing the results of any particular large-scale RCT or epidemiological study. Each study … is left hanging in the air, unsupported.” It gets worse. To identify a rare serious adverse reaction of a frequency of 1:10,000 can require a trial of 200,000 or larger split between controls and interventions. This is not done. But for every 100 who prospectively benefit from the intervention, 9,900 also receive it. And for every 100 benefiting one person (who likely gains no benefit) will suffer a serious unidentified adverse reaction. This is also without taking account of more common adverse reactions whether serious or otherwise. References [1] Shahar, E. (2011) Research and medicine: human conjectures at every turn. International Journal of Person Centered Medicine 1 (2), 250-253. [2] Penston, J. (2010). stats.con: How we’ve been fooled by statistics-based research in medicine. London: The London Press, UK. (shrink)

Mentalizing is our ability to infer agents’ mental states. Attributing beliefs, knowledge, desires, and intentions are frequently discussed forms of mentalizing. Attributing mentalistically loaded stereotypes, personality traits, and evaluating others’ rationality are forms of mentalizing, as well. This broad conception of mentalizing has interesting and important implications for social epistemology. Several topics in social epistemology involve judgments about others’ knowledge, rationality, and competence, e.g., peer disagreement, epistemic injustice, and identifying experts. Mentalizing is at the core of each of these debates. (...) In this chapter, I describe the broad conception of mentalizing and show how it is central to how we judge others’ knowledge, competence, and rationality. I will apply this perspective on mentalizing to two debates: the epistemology of peer disagreement and interventions on testimonial injustice. I argue that understanding how mentalizing works can help us see these debates in a different light. Such reframing can help us make progress on these challenging debates. (shrink)

This paper has two main aims. The first is to propose a new way of characterizing the problem of personal identity. The second is to show that the metaphysical picture that underlies my proposal has important implications for the 3D/4D debate. I start by spelling out several of the old ways of characterizing the problem of personal identity and saying what I think is wrong with each of them. Next I present and motivate some metaphysical principles concerning property instantiations that (...) underlie my proposal. Then I introduce the new way of characterizing the problem of personal identity that I am recommending, and I show that it avoids the difficulties facing the old ways. I also mention several vexing problems that arise in connection with certain popular views about personal identity, and I argue that if we formulate the problem of personal identity in the way that I am proposing, then each of these problems can be handled fairly easily. Finally, I show that there is an additional benefit to adopting my proposal, namely, that several other important problems facing anyone who endorses a 3D view of persistence (as opposed to the 4D, “temporal parts” view of persistence) can all be resolved in a relatively straightforward.. (shrink)

We introduce the Bias Network Approach (BNA) as a sociotechnical method for AI developers to identify, map, and relate biases across the AI development process. This approach addresses the limitations of what we call the "isolationist approach to AI bias," a trend in AI literature where biases are seen as separate occurrence linked to specific stages in an AI pipeline. Dealing with these multiple biases can trigger a sense of excessive overload in managing each potential bias individually (...) or promote the adoption of an uncritical approach to understanding the influence of biases in developers’ decision-making. The BNA fosters dialogue and a critical stance among developers, guided by external experts, using graphical representations to depict biased connections. To test the BNA, we conducted a pilot case study on the "waiting list” project, involving a small AI developer team creating a healthcare waiting list NPL model in Chile. The analysis showed promising findings: (i) the BNA aids in visualizing interconnected biases and their impacts, facilitating ethical reflection in a more accessible way; (ii) it promotes transparency in decision-making throughout AI development; and (iii) more focus is necessary on professional biases and material limitations as sources of bias in AI development. (shrink)

A person is biased toward the future when she prefers, other things being equal, bad events to be in her past rather than her future or good ones to be in her future rather than her past. In this paper, I explain why both critics and defenders of future bias have failed to consider the best version of the view. I distinguish external time from personal time, and show that future bias is best construed in terms of (...) the latter. This understanding of future bias avoids several standard objections. I then consider a new justification of future bias which is consistent with that construal. My discussion points to a new position regarding the basic relation that grounds rational egoistic concern over time, according to which that relation is asymmetric between person-stages. I also explain how this way of justifying future bias would resolve the apparent tension between the future bias we display in our own case and our relative indifference toward the timing of the good and bad things that happen to other people. (shrink)

Our focus here is on whether, when influenced by implicit biases, those behavioural dispositions should be understood as being a part of that person’s character: whether they are part of the agent that can be morally evaluated.[4] We frame this issue in terms of control. If a state, process, or behaviour is not something that the agent can, in the relevant sense, control, then it is not something that counts as part of her character. A number of theorists have (...) argued that individuals do not have control, in the relevant sense, over the operation of implicit bias. We will argue that this claim is mistaken. We articulate and develop a notion of control that individuals have with respect to implicit bias, and argue that this kind of control can ground character-based evaluation of such behavioural dispositions. (shrink)

In addressing the Lucretian symmetry problem, the temporal bias approach claims that death is bad because it deprives us of something about which it is rational to care (e.g., future pleasures), whereas prenatal nonexistence is not bad because it only deprives us of something about which it is rational to remain indifferent (e.g., past pleasures). In a recent contribution to the debate on this approach, Miguel and Santos argue that a late beginning can deprive us of a future pleasure. (...) Their argument is based on the claim that for birth or death to deprive a person of any value in life, the historically closest counterfactual situation that contains the value is such that the person begins to exist earlier or dies later. This is what they call the Historical Condition. However, the Historical Condition is untenable for several reasons. First, this condition substantially weakens the explanatory capacity of the deprivation account because it implies that most ordinary sorts of pleasures are not deprived by death. In addition, the Historical Condition is vulnerable to counterexamples. In particular, what they offer as a standard case of the deprivation of future pleasure due to a late beginning (what they call Seeing The Beatles), or some of its variants, can be used to falsify this condition. Finally, the Historical Condition is theoretically indefensible because it is based on a faulty analysis of deprivation. (shrink)

The term 'implicit bias' has very swiftly been incorporated into philosophical discourse. Our aim in this paper is to scrutinise the phenomena that fall under the rubric of implicit bias. The term is often used in a rather broad sense, to capture a range of implicit social cognitions, and this is useful for some purposes. However, we here articulate some of the important differences between phenomena identified as instances of implicit bias. We caution against ignoring these (...) differences: it is likely they have considerable significance, not least for the sorts of normative recommendations being made concerning how to mitigate the bad effects of implicit bias. (shrink)

Our focus here is on whether, when influenced by implicit biases, those behavioural dispositions should be understood as being a part of that person’s character: whether they are part of the agent that can be morally evaluated.[4] We frame this issue in terms of control. If a state, process, or behaviour is not something that the agent can, in the relevant sense, control, then it is not something that counts as part of her character. A number of theorists have (...) argued that individuals do not have control, in the relevant sense, over the operation of implicit bias. We will argue that this claim is mistaken. We articulate and develop a notion of control that individuals have with respect to implicit bias, and argue that this kind of control can ground character-based evaluation of such behavioural dispositions. (shrink)

The concept of bias is pervasive in both popular discourse and empirical theorizing within philosophy, cognitive science, and artificial intelligence. This widespread application threatens to render the concept too heterogeneous and unwieldy for systematic investigation. This article explores recent philosophical literature attempting to identify a single theoretical category—termed ‘bias’—that could be unified across different contexts. To achieve this aim, the article provides a comprehensive review of theories of bias that are significant in the fields of philosophy of (...) mind, cognitive science, machine learning, and epistemology. It focuses on key examples such as perceptual bias, implicit bias, explicit bias, and algorithmic bias, scrutinizing their similarities and differences. Although these explorations may not conclusively establish the existence of a natural theoretical kind, pursuing the possibility offers valuable insights into how bias is conceptualized and deployed across diverse domains, thus deepening our understanding of its complexities across a wide range of cognitive and computational processes. (shrink)

It has widely been assumed, by philosophers, that our first-person preferences regarding pleasurable and painful experiences exhibit a bias toward the future (positive and negative hedonic future-bias), and that our preferences regarding non-hedonic events (both positive and negative) exhibit no such bias (non-hedonic time-neutrality). Further, it has been assumed that our third-person preferences are always time-neutral. Some have attempted to use these (presumed) differential patterns of future-bias—different across kinds of events and perspectives—to argue for (...) the irrationality of hedonic future-bias. This paper experimentally tests these descriptive hypotheses. While as predicted we found first-person hedonic future-bias, we did not find that participants were time-neutral in all other conditions. Hence, the presumed asymmetry of hedonic/non-hedonic and first/third-person preferences cannot be used to argue for the irrationality of future-bias, since no such asymmetries exist. Instead, we develop a more fine-grained approach, according to which three factors—positive/negative valence, first/third-person, and hedonic/non-hedonic—each independently influence, but do not determine, whether an event is treated in a future-biased or time-neutral way. We discuss the upshots of these results for the debate over the rationality of future-bias. (shrink)

The term 'implicit bias' has very swiftly been incorporated into philosophical discourse. Our aim in this paper is to scrutinise the phenomena that fall under the rubric of implicit bias. The term is often used in a rather broad sense, to capture a range of implicit social cognitions, and this is useful for some purposes. However, we here articulate some of the important differences between phenomena identified as instances of implicit bias. We caution against ignoring these (...) differences: it is likely they have considerable significance, not least for the sorts of normative recommendations being made concerning how to mitigate the bad effects of implicit bias. (shrink)

Individuals of many animal species are said to have a personality. It has been shown that some individuals are bolder than other individuals of the same species, or more sociable or more aggressive. In this paper, we analyse what it means to say that an animal has a personality. We clarify what an animal personality is, that is, its ontology, and how different personality concepts relate to each other, and we examine how personality traits are identified in biological practice. (...) Our analysis shows that biologists often study specific personality traits, such as boldness, sociability or aggressiveness, rather than personalities in general. We claim that personality traits are best understood as dispositions and that they are operationally defined in terms of certain sets of behaviours, which are studied in specific experimental set-ups. Furthermore, we develop an integrative philosophical account that specifies and formalises three criteria for identifying personality traits, which are used in biological practice. For an individual animal to have a personality trait it must, first, behave differently than others. Second, these behavioural differences must be stable over a certain time, and third, they must be consistent in different contexts. (shrink)

Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s political (...) orientation can arise in some of the same ways in which algorithmic gender and racial biases emerge. However, it differs importantly from them because there are strong social norms against gender and racial biases. This does not hold to the same extent for political biases. Political biases can thus more powerfully influence people, which increases the chances that these biases become embedded in algorithms and makes algorithmic political biases harder to detect and eradicate than gender and racial biases even though they all can produce similar harm. Since some algorithms can now also easily identify people’s political orientations against their will, these problems are exacerbated. Algorithmic political bias thus raises substantial and distinctive risks that the AI community should be aware of and examine. (shrink)

Philosophers working on time-biases assume that people are hedonically biased toward the future. A hedonically future-biased agent prefers pleasurable experiences to be future instead of past, and painful experiences to be past instead of future. Philosophers further predict that this bias is strong enough to apply to unequal payoffs: people often prefer less pleasurable future experiences to more pleasurable past ones, and more painful past experiences to less painful future ones. In addition, philosophers have predicted that future-bias is (...) restricted to first-person preferences, and that people’s third-person preferences are time-neutral. Philosophers disagree vigorously about the normative status of these preferences—i.e., they disagree about whether first-person future-bias is rationally permissible. Time-neutralists, for example, have appealed to the predicted asymmetry between first- and third-person preferences to argue for the rational impermissibility of future-bias. We empirically tested these predictions, and found that while people do prefer more past pain to less future pain, they do not prefer less future pleasure to more past pleasure. This was so in both first and third-person conditions. This suggests that future-bias is typically non-absolute, and is more easily outweighed in the case of positive events. We connect this result to the normative debate over future-bias. (shrink)

Peer reviewers at many funding agencies and scientific journals are asked to score submissions both on individual criteria and overall. The overall scores should be some kind of aggregate of the criteria scores. Carole Lee identifies this as a potential locus for bias to enter the peer review process, which she calls commensuration bias. Here I view the aggregation of scores through the lens of social choice theory. I argue that, when reviewing grant proposals, it is in many (...) cases impossible to avoid commensuration bias. (shrink)

Building on past constructive criticism, the present study provides further methodological development focused on the elimination of bias that may occur during first-person observation. First, various sources of errors that may accompany introspection are distinguished based on previous critical literature. Four main errors are classified, namely attentional, attributional, conceptual, and expressional error. Furthermore, methodological recommendations for the possible elimination of these errors have been determined based on the analysis and focused excerpting of introspective scientific literature. The following groups (...) of methodological recommendations were determined: 1) a better focusing of the subject’s attention to their mental processes, 2) providing suitable stimuli, and 3) the sharing of introspective experience between subjects. Furthermore, the potential of adjustments in introspective research designs for eliminating attentional, attributional, conceptual, and expressional error is discussed. (shrink)

In our article (Zawadzki and Adamczyk 2021), we analyzed threats that novel memory modifying interventions may pose in the future. More specifically, we discussed how optogenetics’ potential for reversible erasure/deactivation of memory “may impact authenticity by producing changes at different levels of personality.” Our article has received many thoughtful open peer commentaries for which we would like to express our great appreciation. We have identified two main threads of objections. They are related to the potential applicability of optogenetics as (...) a therapeutic memory modification technology (MMT) in humans—applicability thread, and the normative value of authenticity, that is, the assumption that preserving authenticity is valuable (either in general or in the particular approach we adopted)—normative thread. Both of these threads concern fundamental issues: The former deals with the scientific credibility of the case vignette on which our discussion is based, and the latter deals with the normative weight of our considerations. We think that addressing both of them can be instructive in a broader context as they reflect a more general disagreement among neuroethicists about the very purpose and method of our discipline. (shrink)

There has been a call for a potentially revolutionary change to our existing understanding of the psychological concept of personal identity. Apparently, people can psychologically represent people, including themselves, as multiple individuals at the same time. Here we ask whether the intransitive judgments found in these studies truly reflect the operation of an intransitive concept of personal identity. We manipulate several factors that arbitrate between transitivity and intransitivity and find most support for transitivity: in contrast to prior work, most participants (...) do not make intransitive judgments when there is any reason to favor one individual over another. People change which single individual they personally identify with, depending on which individual competes more strongly or weakly for identity, rather than identifying with both individuals. Even when two individuals are identical and therefore both entitled to be the same person, we find that people make more transitive judgments once they understand the practical commitments of their responses (Experiment 4), and report not being able to actually imagine two perspectives simultaneously when reasoning about the scenario (Experiment 5). In short, we suggest that while people may make intransitive judgments, these do not reflect that they psychologically represent identity in an intransitive manner. (shrink)

The study aimed at identifying the personal variables and their effect in promoting job creation in Gaza Strip through business incubators. The researchers used the descriptive analytical approach to achieve the study objectives. The study population consisted of 92 of the pilot projects benefiting from the three business incubators in Gaza Strip (Palestinian Information Technology Incubator, UCAS Technology Incubator and Business and Technology Incubator). The study reached a number of results, the most important of which are the existence of statistically (...) significant differences on entrepreneurship attributed to each age as most of them are between the ages of 22-30, Gender for males, business incubator, scientific qualification for the specialties of information technology and engineering, and years of experience. Based on the findings, the researchers recommend focusing on university students in guiding them towards entrepreneurship and helping new graduates to start entrepreneurship. And to guide students to scientific disciplines that help them in entrepreneurship after graduation, whether starting a small business or self-employment, support females to entrepreneurship as most of the entrepreneurs are male, in addition to stimulating males as well. (shrink)

The unusually loyal supporters of Donald Trump are often described as a cult. How can we understand this extreme phenomenon in U.S. politics? We develop theoretical expectations and use the Big Five personality dimensions to investigate whether Trump's most loyal supporters share personality characteristics that might make them inclined to cult-like support. We find that (1) Trump's supporters share high levels of Conscientiousness; (2) this is substantively and statistically distinguishable from the commonly identified association between Conscientiousness and Conservatism; and (...) (3) the association is highly robust to a range of sensitivity tests. Our main findings are robust across two surveys. Study 1 is an online survey conducted in 2021 designed specifically for this project. Study 2 is the 2016 American National Election Study (ANES). (shrink)

This paper explores the complex nature of social biases, arguing for a functional framework that recognizes their unity and diversity. The functional approach posits that all biases share a common functional role in overcoming underdetermination. This framework, I argue, provides a comprehensive understanding of how all psychological biases, including social biases, are unified. I then turn to the question of disunity, demonstrating how psychological social biases differ systematically in the mental states and processes that constitute them. These differences indicate that (...) biases at various levels of the cognitive architecture require distinct treatment along at least two dimensions: epistemic evaluation and mitigation strategies. By examining social biases through this dual lens of unity and diversity, we can more effectively identify when and how to intervene on problematic biases. Ultimately, this approach provides a nuanced understanding of the nature of social bias, offering practical guidance for addressing existing biases and proactively managing emerging biases in both human and artificial minds. (shrink)

It has recently been argued that to tackle social injustice, implicit biases and unjust social structures should be targeted equally because they sustain and ontologically overlap with each other. Here I develop this thought further by relating it to the hypothesis of extended cognition. I argue that if we accept common conditions for extended cognition then people’s implicit biases are often partly realized by and so extended into unjust social structures. This supports the view that we should counteract psychological and (...) social contributors to injustice equally. But it also has a significant downside. If unjust social structures are part of people’s minds then dismantling these structures becomes more difficult than it currently is, as this will then require us to overcome widely accepted ethical and legal barriers protecting people’s bodily and personal integrity. Thus, while there are good grounds to believe that people’s biases and unjust social structures ontologically overlap, there are also strong ethical reasons to reject this view. Metaphysical and ethical intuitions about implicit bias hence collide in an important way. (shrink)

Hylomorphism provides an explanation of material composition: the material parts, the Xs, will compose a whole, a Y, belonging to a given natural kind, when those parts are characterized by a substantial form. While there are a number of those who hold that each human person is identical with a human animal – ‘animalists’ – most of these are not hylomorphists. One could worry that hylomorphism contributes little unique to debates about personal identity, collapsing into either a form of (...) property dualism or substance dualism. What I aim to do is apply a robust and classical hylomorphic account of persons (derived from Thomas Aquinas) to two contemporary problems, illustrating the way in which hylomorphic metaphysics can offer elegant solutions to tricky situations posed against animalists. Specifically, I will propose that hylomorphic animalism can help provide principled resolutions to worries that seem to undermine animalist intuitions which are raised by ‘brain transplant’ or ‘remnant person’ scenarios. Hylomorphism can capture the advantages of ‘hybrid’ animalist responses without the cost of denying a singular, biological criterion of personal identity. Further, hylomorphism provides a distinctive upshot for Christian theologians and the moral positions that they want to affirm by rendering morally anodyne apparent epistemic difficulties in identifying personal identity over time. (shrink)

Mistakes are a fact of life, and the criminal law is sadly no exception to the rule. Wrongful convictions are rightfully abhorred, and false acquittals can likewise inspire outrage. In these cases, we implicitly draw a distinction between a court’s finding and a defendant’s actual guilt or innocence. These are intuitive concepts, but as this paper aims to show, contemporary use of the reasonable person standard in the law of self-defense muddles them. -/- Ordinarily, we can distinguish between a (...) person's material guilt or innocence and his juridical guilt or innocence. Someone is materially guilty if his actions in fact matched the conduct proscribed by the penal law. Someone is juridically guilty if he is found guilty by a tribunal, i.e., convicted by a judge or jury. When a tribunal convicts a innocent person or acquits a guilty person, the accuracy of its verdicts can be criticized. -/- There are three definitions of the reasonable person extant amongst courts and commentators: the reasonable person is either (1) a hypothetical ordinary, average person; (2) the embodiment of a community ideal; or (3) an embodiment of an objective ethical standard, i.e., ethical principles independent of community opinion. Nonetheless, after observing the circularity, vagueness, and lack of consistency in the definitions, wise courts and commentators have sometimes resorted to identifying the reasonable person with the judgment of the jury. -/- This piece argues that failure to settle on a fixed definition of the "reasonable person" in the criminal law of self-defense effectively conflates material guilt and innocence and juridical guilt and innocence at the doctrinal level. When courts do not clearly and consistently choose between standards one, two, and three, or when they expressly treat the reasonable person as a form of words standing in for the judgment of the jury, they make it conceptually impossible for observers outside the court system to apply a fixed, definite standard to assess the actual guilt of a person apart from the judgments of tribunals. -/- This paper's main purpose is to identify a conceptual knot rather than propose reforms. Still, it recommends two small changes meant to lift the confusion surrounding the reasonable person. First, it urges that courts expressly settle on one of the three definitions canvassed above. Second, it recommends that courts be mindful of the nature of the reasonable person standard and as such, be wary of treating conclusions about reasonableness as ordinary legal precedents, and wield the power of directed verdict aggressively to protect unpopular defendants from abuse by juries. (shrink)

It has widely been assumed, by philosophers, that our first-person preferences regarding pleasurable and painful experiences exhibit a bias toward the future (positive and negative hedonic future-bias), and that our preferences regarding non-hedonic events (both positive and negative) exhibit no such bias (non-hedonic time-neutrality). Further, it has been assumed that our third-person preferences are always time-neutral. Some have attempted to use these (presumed) differential patterns of future-bias—different across kinds of events and perspectives—to argue for (...) the irrationality of hedonic future-bias. This paper experimentally tests these descriptive hypotheses. While as predicted we found first-person hedonic future-bias, we did not find that participants were time-neutral in all other conditions. Hence, the presumed asymmetry of hedonic/non-hedonic and first/third-person preferences cannot be used to argue for the irrationality of future-bias, since no such asymmetries exist. Instead, we develop a more fine-grained approach, according to which three factors—positive/negative valence, first/third-person, and hedonic/non-hedonic—each independently influence, but do not determine, whether an event is treated in a future-biased or time-neutral way. We discuss the upshots of these results for the debate over the rationality of future-bias. (shrink)

We make choices about our own appearance and evaluate others' choices – every day. These choices are meaningful for us as individuals and as members of communities. But many features of personal appearance are due to luck, and many cultural beauty standards make some groups and individuals worse off (this is called “lookism”). So, how are we to square these two facets of personal appearance? And how are we to evaluate agency in the context of personal beauty? I identify three (...) ways of responding to these questions: beauty advo- cacy, beauty skepticism, and beauty revisionism. Advocates connect an honorific sense of beauty with personal charac- ter. Skeptics focus on beauty standards, and primarily offer a social critique of beauty standards. Some skeptics suggest embracing other aesthetic ideals – even ugliness. Revision- ists critique beauty standards, but retain an honorific sense of beauty. Each position offers tools to evaluate personal agency as aesthetic agency, whether first-personally or through our appreciation of others' appearance. (shrink)

Let’s say that an act requires Person-Affecting Justification if and only if some alternative would have been better for someone. So, Lucifer breaking Xavier’s back requires Person-Affecting Justification because the alternative would have been better for Xavier. But the story continues: While Lucifer evades justice, Xavier moves on and founds a school for gifted children. Xavier’s deepest values become identified with the school and its community. When authorities catch Lucifer, he claims no Person-Affecting Justification is needed: (...) because the attack set Xavier on his life’s path, it’s no longer true that the alternative would have been better by the standard of what Xavier now values most. An unappealingly paternalistic way to hold Lucifer to account is to discount Xavier’s preferences as merely adaptive. Instead, I propose understanding the persons of Person-Affecting Justification to be not persons but person stages. This allows us to hold Lucifer to account without having to discount Xavier’s actual preferences, and has interesting implications for compensatory justice, including making sense of reparations for historical wrongs. (shrink)

Personal Health Monitoring (PHM) uses electronic devices which monitor and record health-related data outside a hospital, usually within the home. This paper examines the ethical issues raised by PHM. Eight themes describing the ethical implications of PHM are identified through a review of 68 academic articles concerning PHM. The identified themes include privacy, autonomy, obtrusiveness and visibility, stigma and identity, medicalisation, social isolation, delivery of care, and safety and technological need. The issues around each of these are discussed. (...) The system / lifeworld perspective of Habermas is applied to develop an understanding of the role of PHMs as mediators of communication between the institutional and the domestic environment. Furthermore, links are established between the ethical issues to demonstrate that the ethics of PHM involves a complex network of ethical interactions. The paper extends the discussion of the critical effect PHMs have on the patient’s identity and concludes that a holistic understanding of the ethical issues surrounding PHMs will help both researchers and practitioners in developing effective PHM implementations. (shrink)