The goal of this essay is to explore "the highly contested nature of [decision-making through adopting] a historically comparative and interdisciplinary approach." Internalist history of game theory treats decision theory as a science of making choices to maximize expected gain. Game theory is applied to nuclear deterrence and military strategy, building markets and designing institutions, analyzing collective action, developing jurisprudence, and addressing crime and punishment. This essay draws on recent historiography of Cold War decision- (...) class='Hi'>making to draw into focus the constructive aspects of decision theory to argue that the perceived need to avoid worst-case scenarios has instead contributed to a world in which the worst outcome is probabilistically assured to occur over the long duree timeframe. (shrink)

Current environmental problems and technological risks are a challenge for a new institutional arrangement of the value spheres of Science, Politics and Morality. Distinguished authors from different European countries and America provide a cross-disciplinary perspective on the problems of political decision making under the conditions of scientific uncertainty. cases from biotechnology and the environmental sciences are discussed. The papers collected for this volume address the following themes: (i) controversies about risks and political decision (...) class='Hi'>making; (ii) concepts of science for policy; (iii) the use of social science in the policy making process; (iv) ethical problems with developments in science and technology; (v) public and state interests in the development and control of technology. (shrink)

Algorithm Decision Making (ADM) systems designed to augment or automate human decision-making have the potential to produce better decisions while also freeing up human time and attention for other pursuits. For this potential to be realised, however, algorithmic decisions must be sufficiently aligned with human goals and interests. We take a Principal-Agent (P-A) approach to the questions of ADM alignment and trust. In a broad sense, ADM is beneficial if and only if human principals can trust (...) algorithmic agents to act faithfully on their behalf. This mirrors the challenge of facilitating P-A relationships among humans, but the peculiar nature of human-machine interaction also raises unique issues. The problem of asymmetric information is omnipresent but takes a different form in the context of ADM. Although the decision-making machinery of an algorithmic agent can in principle be laid bare for all to see, the sheer complexity of ADM systems based on deep learning models prevents straightforward monitoring. We draw on literature from economics and political science to argue that the problem of trust in ADM systems should be addressed at the level of institutions. Although the dyadic relationship between human principals and algorithmic agents is our ultimate concern, cooperation at this level must rest against an institutional environment which allows humans to effectively evaluate and choose among algorithmic alternatives. (shrink)

In response to the Royal Society report’s claim that “the acceptability of geo­engineering will be determined as much by social, legal, and political issues as by scientific and technical factors” (Geoengineering the Climate: Science, Governance and Uncertainty [London: Royal Society, 2009], ix), a number of authors have suggested the key to this challenge is to engage the public in geoengineering decision-making. In effect, some have argued that inclusion of the public in geoengineering decision-making is (...) necessary for any geoengineering project to be morally permissible. Yet, while public engagement on geoengineering comes in various forms, the discussion in geoengineering governance and the ethics of geoengineering have too often conceptualized it exclusively in terms of public participation in decision-making, and supported it by various liberal democratic values. However, if the predominant understanding of public engagement on—or, the role of the public in—geoengineering decision-making is indeed only grounded on liberal democratic values, then its normative relevance could be challenged by and in other ethical-political traditions that do not share those values. In this paper, I shall explore these questions from a Confucian perspective. I argue that the liberal democratic values invoked in support of the normative importance of public participation are, at least, foreign to Confucian political philosophy. This presents a prima facie challenge to view public participation in geoengineering decision-making as a universal moral requirement, and invites us to reconsider the normative significance of this form of public engagement in Confucian societies. Yet, I contend that the role of the public remains normatively significant in geoengineering governance and the ethics of geoengineering from a Confucian perspective. Drawing from recent work on Confucian political philosophy, I illustrate the potential normative foundation for public engagement on geoengineering decision-making. (shrink)

In this topical section, we highlight the next step of research on modeling aiming to contribute to the emerging literature that radically refrains from approaching modeling as a scientific endeavor. Modeling surpasses “doing science” because it is frequently incorporated into decision-making processes in politics and management, i.e., areas which are not solely epistemically oriented. We do not refer to the production of models in academia for abstract or imaginary applications in practical fields, but instead highlight the real (...) entwinement of science and policy and the real erosion of their boundaries. Models in decision making – due to their strong entwinement with policy and management – are utilized differently than models in science; they are employed for different purposes and with different constraints. We claim that “being a part of decision-making” implies that models are elements of a very particular situation, in which knowledge about the present and the future is limited but dependence of decisions on the future is distinct. Emphasis on the future indicates that decisions are made about actions that have severe and lasting consequences. In these specific situations, models enable not only the acquisition of knowledge (the primary goal of science) but also enable deciding upon actions that change the course of events. As a result, there are specific ways to construct effective models and justify their results. Although some studies have explored this topic, our understanding of how models contribute to decision making outside of science remains fragmentary. This topical section aims to fill this gap in research and formulate an agenda for additional and more systematic investigations in the field. (shrink)

The Universal Law of Balance: The Key to Understanding Free Will and Human Decision-Making -/- For centuries, the concept of free will has remained an unsolved mystery. Philosophers, scientists, and theologians have debated whether human beings truly have the power to make independent choices or whether their decisions are predetermined by external forces. Despite these discussions, no universally accepted solution has emerged—until now. -/- The key to solving the problem of free will lies in recognizing that all (...) class='Hi'>decision-making follows a fundamental natural law: the Universal Law of Balance. This law governs not only the physical world but also human consciousness and social systems. By understanding how balance shapes our thoughts, choices, and actions, we can eliminate confusion about free will and create a more rational, stable, and just society. -/- Understanding the Universal Law of Balance -/- The Universal Law of Balance states that everything in nature operates within a dynamic equilibrium. Whether we look at ecosystems, physics, economics, or psychology, balance is the governing principle that maintains stability and prevents collapse. -/- In Nature: Ecosystems regulate themselves. If one species becomes too dominant, natural mechanisms restore balance. -/- In Physics: Newton’s Third Law states that every action has an equal and opposite reaction, demonstrating balance in forces. -/- In Economics: Markets function based on supply and demand—imbalances lead to inflation, recession, or economic crashes. -/- In Human Behavior: Emotional states fluctuate based on internal and external conditions, always seeking equilibrium. -/- These examples show that balance is not just a concept—it is an inescapable law of existence. Human thought and decision-making are no exception. -/- How the Law of Balance Governs Free Will -/- Many people believe that free will means making choices completely free of external influence. However, this is a misconception. Every decision a person makes is a response to an imbalance—whether it is a biological need (hunger leading to eating), a social pressure (conforming to norms), or an emotional reaction (seeking comfort when sad). -/- Thus, free will is not absolute but operates within the constraints of balance. Instead of making completely random choices, the human mind is constantly processing feedback from the internal self (thoughts, emotions, desires) and the external world (society, culture, circumstances). Every action is a means of restoring, maintaining, or disrupting balance. -/- For example: -/- A government that ignores economic inequality will face social unrest as balance is naturally restored through protests or revolution. -/- A person who overworks without rest will experience burnout, forcing them to slow down. -/- A company that prioritizes profit over sustainability will eventually face economic collapse due to resource depletion. -/- The Universal Formula reveals that decision-making is not random or purely independent—it follows the patterns of natural balance. -/- Why Ignoring Balance Leads to Crisis -/- Throughout history, civilizations have risen and fallen based on whether they understood and applied the principles of balance. Societies that pursued unregulated expansion, wealth concentration, or environmental exploitation eventually collapsed due to the inevitable consequences of imbalance. -/- Today, many global crises—from economic inequality to climate change—are the result of decisions that violate natural balance. Political systems that concentrate power, financial models based on infinite growth, and extreme ideological conflicts all stem from a failure to recognize that balance is necessary for long-term stability. -/- By understanding and applying the Universal Formula, individuals and leaders can prevent crises before they occur. Instead of reacting to problems after they arise, societies can use balance-based decision-making to anticipate and correct imbalances proactively. -/- Applying the Universal Formula in Education, Leadership, and Society -/- If the Universal Law of Balance is truly the foundation of decision-making, it must be integrated into education, governance, and social systems. -/- 1. Education Reform: Schools should teach students how all subjects are interconnected through balance—whether in science, economics, or ethics. Instead of memorization, students should learn systems thinking and how to apply balance-based reasoning in real-world scenarios. -/- 2. Leadership and Governance: Governments should create dynamic policies that adjust based on real-time feedback, preventing economic, political, and environmental instability. Leaders should be trained to make decisions based on natural equilibrium rather than ideology or short-term interests. -/- 3. Personal and Social Development: Individuals should apply balance-based decision-making in relationships, career choices, and daily life. Recognizing that emotions, actions, and social interactions all function as feedback loops can help people make more rational, stable, and fulfilling choices. -/- The Path Forward: A Balanced Future -/- The Universal Formula is not just a philosophical idea—it is a practical tool that can transform human decision-making at all levels. If individuals and societies embrace this knowledge, the future will be more stable, just, and sustainable. If balance continues to be ignored, crises will persist. -/- The time has come for a new way of thinking, one that moves beyond outdated debates about free will and embraces the fundamental truth of balance. Understanding this principle is not just an intellectual exercise—it is the key to shaping the future of humanity. -/- The question is no longer whether this knowledge is correct—the question is: Will humanity recognize and apply it before it is too late? -/- . (shrink)

This collection of articles was written over the last 10 years and edited to bring them up to date (2017). The copyright page has the date of the edition and new editions will be noted there as I edit old articles or add new ones. All the articles are about human behavior (as are all articles by anyone about anything), and so about the limitations of having a recent monkey ancestry (8 million years or much less depending on viewpoint) and (...) manifest words and deeds within the framework of our innate psychology as presented in the table of intentionality. As famous evolutionist Richard Leakey says, it is critical to keep in mind not that we evolved from apes, but that in every important way, we are apes. If everyone was given a real understanding of this (i.e., of human ecology and psychology to actually give them some control over themselves), maybe civilization would have a chance. As things are however the leaders of society have no more grasp of things than their constituents and so collapse into anarchy is inevitable. The first group of articles attempts to give some insight into how we behave that is reasonably free of the theoretical delusions that are universal. In the next group, I show how these insights apply by reviewing some books in philosophy and psychology. Next I review books on science and religion and finally provide reviews and articles showing how understanding of both science and philosophy gives insight into the tragic delusions destroying the world. People believe that society can be saved by science, religion and politics, so I provide some suggestions as to why this is unlikely via short articles and reviews of recent books by well-known writers. It is critical to understand why we behave as we do and so the first section presents articles that try to describe (not explain as Wittgenstein insisted) behavior. I start with a brief review of the logical structure of rationality, which provides some heuristics for the description of language (mind, rationality, personality) and gives some suggestions as to how this relates to the evolution of social behavior. This centers around the two writers I have found the most important in this regard, Ludwig Wittgenstein and John Searle, whose ideas I combine and extend within the dual system (two ii systems of thought) framework that has proven so useful in recent thinking and reasoning research. As I note, there is in my view essentially complete overlap between philosophy, in the strict sense of the enduring questions that concern the academic discipline, and the descriptive psychology of higher order thought (behavior). Once one has grasped Wittgenstein’s insight that there is only the issue of how the language game is to be played, one determines the Conditions of Satisfaction (what makes a statement true or satisfied etc.) and that is the end of the discussion. Since philosophical problems are the result of our innate psychology, or as Wittgenstein put it, due to the lack of perspicuity of language, they run throughout human discourse and behavior, so there is endless need for philosophical analysis, not only in the ‘human sciences’ of philosophy, sociology, anthropology, political science, psychology, history, literature, religion, etc., but in the ‘hard sciences’ of physics, mathematics, and biology. It is universal to mix the language game questions with the real scientific ones as to what the empirical facts are. Scientism is ever present and the master has laid it before us long ago, i.e., Wittgenstein (hereafter W) beginning with the Blue and Brown Books in the early 1930’s. "Philosophers constantly see the method of science before their eyes and are irresistibly tempted to ask and answer questions in the way science does. This tendency is the real source of metaphysics and leads the philosopher into complete darkness." (BBB p18) The key to everything about us is biology, and it is obliviousness to it that leads millions of smart educated people like Obama, Chomsky, Clinton and the Pope to espouse suicidal utopian ideals that inexorably lead straight to Hell on Earth. As W noted, it is what is always before our eyes that is the hardest to see. We live in the world of conscious deliberative linguistic System 2, but it is unconscious, automatic reflexive System 1 that rules. This is the source of the universal blindness described by Searle’s The Phenomenological Illusion (TPI), Pinker’s Blank Slate and Tooby and Cosmides’ Standard Social Science Model. The astute may wonder why we cannot see System 1 at work, but it is clearly counterproductive for an animal to be thinking about or second guessing every action, and in any case, there is no time for the slow, massively integrated System 2 to be involved in the constant stream of split second ‘decisions’ we must make. As W noted, our ‘thoughts’ (T1 or the ‘thoughts’ of System 1) must lead directly to actions. iii It is my contention that the table of intentionality (rationality, mind, thought, language, personality etc.) that features prominently here describes more or less accurately, or at least serves as an heuristic for, how we think and behave, and so it encompasses not merely philosophy and psychology, but everything else (history, literature, mathematics, politics etc.). Note especially that intentionality and rationality as I (along with Searle, Wittgenstein and others) view it, includes both conscious deliberative System 2 and unconscious automated System 1 actions or reflexes. Thus, all the articles, like all behavior, are intimately connected if one knows how to look at them. As I note, The Phenomenological Illusion (oblivion to our automated System 1) is universal and extends not merely throughout philosophy but throughout life. I am sure that Chomsky, Obama, Zuckerberg and the Pope would be incredulous if told that they suffer from the same problem as Hegel, Husserl and Heidegger, (or that that they differ only in degree from drug and sex addicts in being motivated by stimulation of their frontal cortices by the delivery of dopamine (and over 100 other chemicals) via the ventral tegmentum and the nucleus accumbens), but it’s clearly true. While the phenomenologists only wasted a lot of people’s time, they are wasting the earth and their descendant’s futures. Many of the articles describe the ‘digital delusions’, which confuse the language games of System 2 with the automatisms of System 1, and so cannot distinguish biological machines (i.e., people) from other kinds of machines (i.e., computers). The ‘reductionist’ claim is that one can ‘explain’ behavior at a ‘lower’ level, but what actually happens is that one does not explain human behavior but a ‘stand in’ for it. Hence the title of Searle’s classic review of Dennett’s book (“Consciousness Explained”)— “Consciousness Explained Away”. In most contexts ‘reduction’ of higher level emergent behavior to brain functions, biochemistry, or physics is incoherent. Also for ‘reduction’ of chemistry or physics, the path is blocked by chaos and uncertainty. Anything can be ‘represented’ by equations, but when they ‘represent’ higher order behavior, it is not clear (and cannot be made clear) what the ‘results’ mean. Reductionist metaphysics is a joke, but most scientists and philosophers lack the appropriate sense of humor. Other digital delusions are that we will be saved from the pure evil (selfishness) of System 1 by computers/AI/robotics/ nanotech/genetic engineering created by System 2. The No Free Lunch principal tells us there will be serious and possibly fatal consequences. The adventurous may regard this principle as a higher order emergent expression of the Second Law of Thermodynamics. Hi-tech enthusiasts hugely underestimate the problems iv resulting from unrestrained motherhood, and of course it is neither profitable nor politically correct (and now with third world supremacism dominant, not even possible) to be honest about it. The last section describes various versions of the ‘altruism delusion’ that we are selected for cooperation, and that the euphonious ideals of Democracy, Diversity and Equality will lead us into utopia, if we just manage things correctly (the possibility of politics). Again, the No Free Lunch Principle ought to warn us it cannot be true, and we see throughout history and all over the contemporary world, that without strict controls, selfishness and stupidity gain the upper hand and soon destroy any nation that embraces it. In addition, the monkey mind steeply discounts the future, and so we cooperate in selling our descendant’s heritage for temporary comforts, greatly exacerbating the problems. I describe versions of this delusion (i.e., that we are basically ‘friendly’ if just given a chance) as it appears in some recent books on sociology/biology/economics. I end with an essay on the great tragedy playing out in America and the world, which can be seen as a direct result of our evolved psychology manifested as the inexorable machinations of System 1. Our psychology, eminently adaptive and eugenic on the plains of Africa from ca. 6 million years ago, when we split from chimpanzees, to ca. 50,000 years ago, when many of our ancestors left Africa (i.e., in the EEA or Environment of Evolutionary Adaptation), is now maladaptive and dysgenic and the source of our Suicidal Utopian Delusions. So, like all discussions of behavior (philosophy, psychology, sociology, biology, anthropology, politics, law, literature, history, economics, soccer strategies, business meetings, etc.), this book is about evolutionary strategies, selfish genes and inclusive fitness (kin selection). Many accept the delusion that we are selected for cooperation with people generally (group selection or altruism) and not just our immediate relatives (kin selection or inclusive fitness), so I spend some time in the essays of the last section demolishing this fantasy. One thing rarely mentioned by the group selectionists is the fact that, even were ‘group selection’ possible, selfishness is at least as likely (probably far more likely in most contexts) to be group selected for as altruism. Just try to find examples of true altruism in nature –the fact that we can’t (which we know is not possible if we understand evolution) tells us that its apparent presence in humans is an artefact of modern life concealing the facts, and that it can no more be selected for than the tendency to suicide (which in fact it is). One does not really need science or mathematics to grasp this – it is crushingly obvious that an v organism cannot be selected for behavior that decreases the frequency of its own genes in the next generation. One might also benefit from considering a phenomenon never (in my experience) mentioned by group selectionists -- cancer. No group has as much in common as the (originally) genetically identical cells in our own bodies-a 100 trillion cell clone-- but we are all born with thousands and perhaps millions of cells that have already taken the first step on the path to cancer and generate millions to billions of cancer cells in our life. If we did not die of other things first, we (and perhaps all multicellular organisms) would all die of cancer. Only a massive and hugely complex mechanism built into our genome that represses or derepresses trillions of genes in trillions of cells, and kills and creates billions of cells a second, keeps the majority of us alive long enough to reproduce. One might take this to imply that a just, democratic and enduring society for any kind of entity on any planet in any universe is only a dream, and that no being or power could make it otherwise. It is not only ‘the laws’ of physics that are universal and inescapable, or perhaps we should say that inclusive fitness is a law of physics. The great mystic Osho said that the separation of God and Heaven from Earth and Humankind was the most evil idea that ever entered the Human mind. In the 20th century an even more evil notion arose—that humans are born with rights, rather than having to earn privileges. Thus, every day the population increases by 200,000, who must be provided with resources to grow and space to live, and who soon produce another 200,000 etc. And one almost never hears it noted that what they receive must be taken from those already alive. Their lives diminish those already here in both major obvious and countless subtle ways. Every new baby destroys the earth from the moment of conception. There cannot be human rights without human wrongs. It cannot be more obvious, but one will never see the streets full of protesters against motherhood. America and the world are in the process of collapse from excessive population growth, most of it for the last century and now all of it due to 3rd world people. Consumption of resources and the addition of 4 billion more ca. 2100 will collapse industrial civilization and bring about starvation, disease, violence and war on a staggering scale. The earth loses about 2% of it’s topsoil every year, so as it nears 2100, most of it’s food growing capacity will be gone. Billions will die and nuclear war is all but certain. In America, this is being hugely accelerated by massive immigration and immigrant reproduction, combined with abuses made possible by democracy. Depraved human nature inexorably turns the dream of democracy and diversity into a vi nightmare of crime and poverty. China will continue to overwhelm America and the world, as long as it maintains the dictatorship which limits selfishness. The root cause of collapse is the inability of our innate psychology to adapt to the modern world, which leads people to treat unrelated persons as though they had common interests. This, plus ignorance of basic biology and psychology, leads to the social engineering delusions of the partially educated who control democratic societies. Few understand that if you help one person you harm someone else—there is no free lunch and every single item anyone consumes destroys the earth beyond repair. Consequently, social policies everywhere are unsustainable and one by one all societies without stringent controls on selfishness will collapse into anarchy or dictatorship. Without dramatic and immediate changes, there is no hope for preventing the collapse of America, or any country that follows a democratic system. The popular notions supported by the Democratic Party and Third World Supremacists are that Democracy, Diversity, Equality and Social Justice will produce a Utopia in America and the world, but it is clear as crystal that they unavoidably foster selfishness and divisiveness and are producing collapse. Hence my concluding essay “Suicide by Democracy”. The most basic facts, almost never mentioned, are that there are not enough resources in America or the world to lift a significant percentage of the poor out of poverty and keep them there. Even the attempt to do this is already bankrupting America and destroying the world. The earth’s capacity to produce food decreases daily, as does our genetic quality. And now, as always, by far the greatest enemy of the poor is other poor and not the rich. -/- My writings are available as paperbacks and Kindles on Amazon. -/- Talking Monkeys: Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet - Articles and Reviews 2006-2017 (2017) ASIN B071HVC7YP. -/- The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle--Articles and Reviews 2006-2016 (2017) ASIN B071P1RP1B. -/- Suicidal Utopian Delusions in the 21st century: Philosophy, Human Nature and the Collapse of Civilization - Articles and Reviews 2006-2017 (2017) 2nd printing with corrections (Feb 2018) ASIN B0711R5LGX -/- Suicide by Democracy: an Obituary for America and the World (2018) ASIN B07CQVWV9C -/- . (shrink)

This article introduces a strategic decision-game theoretic approach, the Pardoner’s Dilemma, and juxtaposes it with the Prisoner’s Dilemma. Game theory has emerged as a significant approach in the twentieth century for explaining strategic decision-making in numerous arenas, including economics, business, politics, ethics, international relations, biology, law, and war studies. ‘Game theory’ explains how and why players/actors/agents cooperate or conflict to procure their self-interests in a social world. Life is a game, and human, corporate, and artificial intelligent agents (...) are players who play different games to maximise utility or minimise disutility. The Prisoner’s Dilemma is a promising game-theoretic approach that explains strategic decision-making in zero-sum and non-zero-sum games. ‘Strategic decision-making’ means that the outcome does not depend upon the actions of a player but upon all players. There are numerous essential game strategies, including tossing, negotiation, bargaining, balloting, competition, chance, power, and arbitration. Although the Prisoner’s Dilemma is a good game-theoretic approach, it does not allow players to use the key game strategies. In contrast, Pardoner’s Dilemma is a game theoretic approach that not only explains zero-sum and non-zero-sum games but also allows the players to use different game strategies, such as negotiation, bargaining, tossing, chance, balloting, competition, arbitration, and power. The article develops and defends the Pardoner’s Dilemma in the game-theoretic approach as an alternative to the Prisoner’s Dilemma. The article claims that the Pardoner’s Dilemma is a more promising approach than the Prisoner’s Dilemma in the decision-game theoretic framework. By introducing the Pardoner’s Dilemma, the article enhances the scope of decision/game theory in social sciences. (shrink)

How should we conceive of policymakers for the purposes of political analysis? In particular, if we wish to explain and predict political decisions and their consequences, if we wish to ensure that political action is as effective as it can be, how should we think of policymakers? Should we think of them as they are commonly conceived in traditional political analysis, i.e., as uniquely knowledgeable and as either altruistic (i.e., as motivated to realize goals associated with (...) their constituents’ interests) or knavish (i.e., as motivated to realize goals associated with their own personal interests), or should we treat them as possibly ignorant with respect to their political tasks? -/- It is always an open question whether policymakers possess the knowledge required to realize some policy objective. It should never be assumed a priori that policymaker knowledge is adequate to the policy tasks with which policymakers are charged. Politicians need knowledge concerning the causes of social phenomena adequate to control events sufficiently well to ensure the success of their policies. No argument has ever been offered for the standard, if only implicit, assumption that policymakers, somehow automatically, possess this knowledge. In many contexts, there is no reason to believe that policymakers possess or can acquire this knowledge. Indeed, a bit of reflection reveals how unlikely it is that and how rare the circumstances must be in which policymakers meet this condition, which political philosophers, theorists, economists, and other political thinkers have traditionally assumed as a matter of course. -/- The main purpose of the book is to encourage a conversation among scholars and students of political inquiry (in philosophy and political theory, political science, economics and political economy) concerning the best way to conceive of policymakers for the purposes of such inquiry. -/- The book defends an alternative, more realistic, method of political analysis. The book argues against the false assumption that policymakers are epistemically privileged. The book presents and defends the alternative assumption that, with respect to the knowledge required to discharge their political tasks effectively, policymakers are at least as ignorant as constituents. -/- The book further argues that whether policymakers are altruistic or knavish is, in the first instance, a function of the nature and extent of their ignorance with regard to constituent-minded policy goals. Policymakers who possess the knowledge required to be effectively altruistic are more likely to be altruistic, other things the same, than policymakers who are ignorant of the knowledge that successful altruism requires. -/- This being said, my goal is more to leave readers thinking about and inclined to debate these profound issues than to prescribe a particular methodological conclusion (even less to advocate a particular political conclusion). The book is a heuristic for spurring further conversation. It makes of readers fellow interlocutors partnered with the characters (and the author!) of the dialogue. -/- The vehicle for this analysis is a conversation between four friends, philosophy graduate students, with different interests, different levels and kinds of experience, and different political preferences. The four friends consider how politicians should be conceived for the purposes of analyzing political decision-making and its consequences. -/- In his famous Dialogues concerning Natural Religion, David Hume concluded that the assumption of an all-knowing and all-powerful God was neither necessary nor sufficient to explain natural phenomena. Dialogues concerning Natural Politics does for social science what Hume did for natural science. Both books undermine the assumption that some epistemically privileged being – God in the case of natural phenomena and God-like politicians in the case of social phenomena – must be invoked to explain relevant phenomena. (shrink)

The evidence-based medicine (EBM) movement is touted as a new paradigm in medical education and practice, a description that carries with it an enthusiasm for science that has not been seen since logical positivism flourished (circa 1920–1950). At the same time, the term ‘‘evidence-based medicine’’ has a ring of obviousness to it, as few physicians, one suspects, would claim that they do not attempt to base their clinical decision-making on available evidence. However, the apparent obviousness of EBM (...) can and should be challenged on the grounds of how ‘evidence’ has been problematised in the philosophy of science. EBM enthusiasm, it follows, ought to be tempered. The post-positivist, feminist, and phenomenological philosophies of science that are examined in this paper contest the seemingly unproblematic nature of evidence that underlies EBM by emphasizing different features of the social nature of science. The appeal to the authority of evidence that characterizes evidence-based practices does not increase objectivity but rather obscures the subjective elements that inescapably enter all forms of human inquiry. The seeming common sense of EBM only occurs because of its assumed removal from the social context of medical practice. In the current age where the institutional power of medicine is suspect, a model that represents biomedicine as politically disinterested or merely scientific should give pause. (shrink)

The Science of Balanced Leadership and Competition: The Role of AI Technology as a Guide -/- Introduction -/- Leadership and competition are two fundamental forces that shape human societies, economies, and institutions. However, their effectiveness depends on how they are managed. When leadership is imbalanced, it leads to corruption, authoritarianism, or inefficiency. When competition is unregulated, it creates inequality, exploitation, and instability. The science of balanced leadership and competition is an approach that integrates principles of natural balance, ethical (...) decision-making, and systemic thinking to ensure sustainable and just progress. -/- In the modern era, artificial intelligence (AI) technology serves as a powerful tool to assist leaders in maintaining this balance. AI can analyze vast amounts of data, predict potential crises, and offer insights for decision-making. Properly programmed AI can help guide leaders toward fair and ethical governance while also ensuring competition remains beneficial rather than destructive. -/- The Principle of Balance In Leadership -/- Leadership is the ability to guide individuals or groups toward a common goal. However, effective leadership is not just about authority; it requires a balance between control and flexibility, vision and adaptability, power and responsibility. -/- 1. The Balance Between Authority and Participation – Leaders must maintain authority to make decisive actions but also encourage participation from team members. Excessive authoritarianism suppresses innovation, while excessive democracy leads to indecisiveness. A balanced leader allows structured decision-making while considering input from others. -/- 2. The Balance Between Short-Term and Long-Term Goals – Effective leaders understand that immediate success must not come at the cost of future stability. Governments that prioritize economic growth without environmental responsibility, for example, create long-term disasters. Sustainable leadership requires long-term planning while addressing short-term needs. AI technology can analyze patterns, predict long-term consequences, and assist leaders in making informed, future-proof decisions. -/- 3. The Balance Between Competence and Morality – A leader may be highly competent but unethical, leading to corruption and exploitation. Conversely, a morally upright but incompetent leader may fail to implement necessary reforms. Balanced leadership integrates technical skill with ethical responsibility. AI systems programmed with ethical guidelines can act as an advisory tool, identifying potential ethical violations in leadership decisions and ensuring a fair and just system. -/- The Role of Competition in Progress -/- Competition is essential for innovation, economic growth, and personal development. However, uncontrolled competition leads to monopolies, exploitation, and social inequality. A balanced approach ensures that competition serves collective progress rather than individual greed. -/- 1. Healthy Competition vs. Destructive Competition – In a balanced system, competition drives excellence without harming others. In contrast, destructive competition creates a “win-at-all-costs” mentality, where ethics and fairness are disregarded. Examples include corporate monopolies suppressing small businesses or political parties prioritizing power over national interest. AI-driven monitoring systems can help detect unethical business practices and ensure fair competition in markets. -/- 2. Regulated Competition for Collective Growth – Governments and institutions must regulate competition to ensure fairness. This includes antitrust laws to prevent monopolies, ethical guidelines in business, and fair labor policies to protect workers from exploitation. AI can assist regulators in monitoring economic trends, detecting monopolistic behavior, and ensuring fair market conditions. -/- 3. Coopetition: A Balance Between Cooperation and Competition – In many industries, companies compete for market dominance while also collaborating in research, standardization, or sustainability efforts. This concept, known as “coopetition,” allows for economic growth while maintaining ethical responsibilities. AI can optimize cooperation strategies, ensuring that businesses maximize benefits while maintaining fair competition. -/- The Role of AI in Maintaining Balance -/- AI technology plays a crucial role in guiding leaders and institutions toward balanced decision-making. It can be used in the following ways: -/- 1. AI for Predictive Analysis – AI can process large-scale data to predict social, economic, and environmental trends, helping leaders make proactive decisions rather than reactive ones. -/- 2. AI for Ethical Governance – AI can be programmed with ethical principles to provide real-time insights on the consequences of political, corporate, or social policies. This ensures that decision-making aligns with fairness, justice, and sustainability. -/- 3. AI for Market Regulation – AI-driven economic models can detect unfair competition, price manipulation, and unethical corporate behavior, allowing governments to take corrective actions swiftly. -/- 4. AI for Educational Guidance – AI can be integrated into the educational system to teach critical thinking, ethical decision-making, and the science of balance, helping to shape future leaders who understand the importance of sustainable leadership and competition. -/- Applying the Science of Balance in Society -/- The science of balanced leadership and competition applies across various domains, from government and business to education and personal development. AI technology enhances this process by providing data-driven insights and ethical guidance. -/- 1. In Governance – Leaders must ensure that laws and policies balance economic growth with social welfare, individual rights with national security, and environmental sustainability with industrial development. AI can help design policies that optimize these balances through advanced simulations and scenario modeling. -/- 2. In Business – Corporate leaders should foster healthy competition while ensuring fair wages, ethical production, and sustainable business practices. AI can be used to analyze global trends, predict economic shifts, and optimize business strategies that benefit both corporations and society. -/- 3. In Education – Schools should encourage competition to inspire excellence while fostering teamwork, ethical responsibility, and critical thinking. AI-driven personalized learning can help students develop both competitive and cooperative skills based on their strengths and weaknesses. -/- 4. In Personal Development – Individuals must balance ambition with ethics, career success with personal well-being, and competition with collaboration in their daily lives. AI-powered personal development tools can provide guidance, helping individuals make balanced life decisions. -/- Conclusion -/- The science of balanced leadership and competition is essential for building a just and sustainable society. It requires an understanding of natural balance, ethical decision-making, and systemic thinking. AI technology plays a critical role in achieving this balance by providing data-driven insights, predicting long-term consequences, and ensuring ethical decision-making. -/- When leadership is balanced, it fosters progress without oppression. When competition is balanced, it drives innovation without exploitation. With AI as a guiding tool, societies can move toward a future where decision-making is not only efficient but also ethical and sustainable. By integrating AI with principles of natural balance, we can ensure a world that is fair, progressive, and in harmony with the universal laws of nature. -/- . (shrink)

Elections are not the solution to political crisis, they’re the problem. In lively dialogue form, The Democracy Manifesto explains why elections are anti-democratic and should be replaced with government in which decision-makers are randomly selected from the population at large.

Scientists have the ability to influence policy in important ways through how they present their results. Surprisingly, existing codes of scientific ethics have little to say about such choices. I propose that we can arrive at a set of ethical guidelines to govern scientists’ presentation of information to policymakers by looking to bioethics: roughly, just as a clinician should aim to promote informed decision-making by patients, a scientist should aim to promote informed decision-making by policymakers. Though (...) this may sound like a natural proposal, I show it offers guidance that conflicts with standard scientific practices. I conclude by considering one cost of the proposal: that it would prevent scientists from acting as advocates in a way that is currently common in certain fields. I accept that the proposal would restrict scientists’ political advocacy rights, but argue that the benefits of adopting it — promoting democratic governance — justify the restriction. (shrink)

Sometimes citizens disagree about political matters, but a decision must be made. We have two theoretical frameworks for resolving political disagreement. The first is the framework of social choice. In it, our goal is to treat parties to the dispute fairly, and there is no sense in which some are right and the others wrong. The second framework is that of collective decision-making. Here, we do believe that preferences are truth apt, and our moral consideration (...) is owed not to those who disagree but to the community that stands to benefit or suffer from the decision. In this chapter, I describe and explore these two frameworks. I conclude two things. First, analysis of real-world disagreement suggests that collective decision-making is the right way to model politics. In most, possibly even all, political disagreement, all parties believe (if implicitly) that there is an objective standard of correctness. Second, this matter is connected to the concept of pluralism. If pluralism is true, then collective decision-making cannot be applied to some political disagreements. More surprisingly, pluralism may rule out the applicability of social choice theory as well. (shrink)

The aim of this master’s thesis is to analyse and highlight the interaction between science, politics and law. More precisely, our research question concerns the use of scientific arguments in social spheres (notably in politics and law) instead of legal or political arguments. In fact, we want to raise the way in which certain actors invoke scientific arguments to impose "objective" elements of fact in debate and, in this way, refrain from politically and "subjectively" discussing these same elements (...) (or, at least, their social consequences). This Master’s thesis will adopt an interdisciplinary theoretical framework (chapter 1) mobilising philosophy of science, philosophy of law, sociology of law, legal technique and analytical theories. Then, we will apply it to a case study: the European regulation of genetically modified organisms (GMOs) after the European Court of Justice (CJEU) ruling of 25 July 2015 (chapter 2). The first chapter will provide theoretical elements to rethink the interaction between science, politics and law. The first section will propose a 'state of the art’ of the philosophical literature on the relationship between science (as a regime of truth) and politics. This master’s thesis will assess a truth under construction rather than a transcendental truth. Section 2 anticipates authoritarian claims based on science by considering the relationship science can have with power (Foucault). A solid review of philosophical, sociological and legal literature highlights the risks of giving decision-making power to an all-powerful science. Notably, the use of science to justify discriminatory policies is emphasised as these policies could not be challenged because, at the time, it was considered an objective scientific truth. Finally, section 3 offers a critique of the narratives of neutral and objective science, through the approach of science in action. This sociological approach presented all the doubts and subjectivity of science in action. The second chapter will propose a case study to illustrate the theoretical framework. We have chosen GMOs because they constitute a hybrid 'event', marked by scientific controversies, and with major socio-economic implications. The legal framework of GMOs in the European Union will be presented in the first section. In addition, the legal status of new breeding techniques (NBTs) will be examined. The second section will analyse the ruling of the European Court of Justice which made NBTs subject to GMO regulation. Finally, the third section will propose a reflection on the philosophy of law on the modes of existence of scientific, legal and political disciplines. (shrink)

This chapter aims to make analytical political philosophy part of existing discussions about the role of numbers in the workings of political institutions that already cut across many other disciplines in the humanities and social sciences. To do that, it will first explore the prominent ‘capability approach’ to justice, which is characterised by scepticism towards excessive precision in law- and policy-making. Given the close link between precision and quantification, the loudest voice from political philosophy will therefore (...) turn out to be one of warning against the use of numbers in political decision-making. However, the chapter will also discuss powerful objections to the capability approach that, building on the work of John Rawls, stress the importance of public justification and, in turn, simplifying devices in political decision-making. Those objections will be used to demonstrate that quantification can play functions that are very important from a normative perspective. To further support its claim that under certain circumstances, numerical tools might well be the best way of making political decisions, the chapter will use as a case study the National Institute for Health and Care Excellence, an administrative body in charge of appraising health technology for use in the British National Health Service. (shrink)

The novel coronavirus pandemic (COVID-19) has had far-reaching effects on public health around the world. Attempts to prevent the spread of the disease by quarantine have led to large-scale global socioeconomic disrup- tion. During the outbreak, public authorities and politicians have struggled with how to manage widespread ignorance regarding the virus. Drawing on insights from social epistemology and the emerging interdisciplinary field of ignorance studies, this article provides evidence that the temporality of non- knowing and its intersection with knowing is (...) a force that leads political decision-making during a crisis. Illuminating the epistemic analysis with statements given by the Finnish government to the media in decision- making documents and in press conferences, this paper proposes that a crisis situation, itself, seems to demand from political decision-makers dynamic action while simultaneously knowing little (‘non-knowing’) about the different fronts of tackling the pandemic. We conclude that non-knowing must be recognized explicitly as an enduring and central condition in deci- sion-making, which we call ‘epistemic humility.’. (shrink)

Climatology is a paradigmatic complex systems science. Understanding the global climate involves tackling problems in physics, chemistry, economics, and many other disciplines. I argue that complex systems like the global climate are characterized by certain dynamical features that explain how those systems change over time. A complex system's dynamics are shaped by the interaction of many different components operating at many different temporal and spatial scales. Examining the multidisciplinary and holistic methods of climatology can help us better understand the (...) nature of complex systems in general. -/- Questions surrounding climate science can be divided into three rough categories: foundational, methodological, and evaluative questions. "How do we know that we can trust science?" is a paradigmatic foundational question (and a surprisingly difficult one to answer). Because the global climate is so complex, questions like "what makes a system complex?" also fall into this category. There are a number of existing definitions of `complexity,' and while all of them capture some aspects of what makes intuitively complex systems distinctive, none is entirely satisfactory. Most existing accounts of complexity have been developed to work with information-theoretic objects (signals, for instance) rather than the physical and social systems studied by scientists. -/- Dynamical complexity, a concept articulated in detail in the first third of the dissertation, is designed to bridge the gap between the mathematics of contemporary complexity theory (in particular the formalism of "effective complexity" developed by Gell-Mann and Lloyd [2003]) and a more general account of the structure of science generally. Dynamical complexity provides a physical interpretation of the formal tools of mathematical complexity theory, and thus can be used as a framework for thinking about general problems in the philosophy of science, including theories, explanation, and lawhood. -/- Methodological questions include questions about how climate science constructs its models, on what basis we trust those models, and how we might improve those models. In order to answer questions about climate modeling, it's important to understand what climate models look like and how they are constructed. Climate model families are significantly more diverse than are the model families of most other sciences (even sciences that study other complex systems). Existing climate models range from basic models that can be solved on paper to staggeringly complicated models that can only be analyzed using the most advanced supercomputers in the world. I introduce some of the central concepts in climatology by demonstrating how one of the most basic climate models might be constructed. I begin with the assumption that the Earth is a simple featureless blackbody which receives energy from the sun and releases it into space, and show how to model that assumption formally. I then gradually add other factors (e.g. albedo and the greenhouse effect) to the model, and show how each addition brings the model's prediction closer to agreement with observation. After constructing this basic model, I describe the so-called "complexity hierarchy" of the rest of climate models, and argue that the sense of "complexity" used in the climate modeling community is related to dynamical complexity. -/- With a clear understanding of the basics of climate modeling in hand, I then argue that foundational issues discussed early in the dissertation suggest that computation plays an irrevocably central role in climate modeling. "Science by simulation" is essential given the complexity of the global climate, but features of the climate system--the presence of non-linearities, feedback loops, and chaotic dynamics--put principled limits on the effectiveness of computational models. This tension is at the root of the staggering pluralism of the climate model hierarchy, and suggests that such pluralism is here to stay, rather than an artifact of our ignorance. Rather than attempting to converge on a single "best fit" climate model, we ought to embrace the diversity of climate models, and view each as a specialized tool designed to predict and explain a rather narrow range of phenomena. Understanding the climate system as a whole requires examining a number of different models, and correlating their outputs. This is the most significant methodological challenge of climatology. -/- Climatology's role contemporary political discourse raises an unusually high number of evaluative questions for a physical science. The two leading approaches to crafting policy surrounding climate change center on mitigation (i.e. stopping the changes from occurring) and adaptation (making post hoc changes to ameliorate the harm caused by those changes). Crafting an effective socio-political response to the threat of anthropogenic climate change, however, requires us to integrate multiple perspectives and values: the proper response will be just as diverse and pluralistic as the climate models themselves, and will incorporate aspects of both approaches. I conclude by offering some concrete recommendations about how to integrate this value pluralism into our socio-political decision making framework. (shrink)

Scientific Explanation of Political Polarization and Mind Control Bias Techniques -/- Political polarization and mind control bias techniques are interconnected phenomena that shape public opinion and influence societal divisions. These processes can be explained scientifically through psychology, neuroscience, and mass communication studies. This essay will explore both concepts in depth, including their cognitive, social, and technological underpinnings. -/- I. Political Polarization: The Science Behind Division -/- Definition of Political Polarization -/- Political polarization is the (...) process by which political attitudes and opinions become increasingly divided, leading to two or more opposing camps with little room for compromise. It results in an “us vs. them” mentality, where political groups become hostile to each other. -/- A. Psychological and Cognitive Biases Driving Polarization -/- 1. Confirmation Bias -/- People tend to seek and believe information that aligns with their pre-existing views while rejecting contradictory evidence. -/- Example: A conservative individual may only watch right-wing news, reinforcing their perspective, while a liberal person may do the same with left-wing news. -/- 2. Motivated Reasoning -/- Individuals process political information in a way that aligns with their desired conclusions, ignoring facts that contradict their beliefs. -/- Example: A person might dismiss credible reports about a political leader’s corruption because they support that leader. -/- 3. Groupthink and Social Identity Theory -/- Humans naturally categorize themselves into groups, forming a strong loyalty to their own group while viewing outsiders with suspicion. -/- Example: Political parties, religious organizations, and ideological movements foster an “us vs. them” mentality, where criticism of the group is seen as betrayal. -/- 4. Cognitive Dissonance -/- When people encounter information that contradicts their beliefs, they experience discomfort and resolve this by rejecting or rationalizing the new information. -/- Example: A supporter of a leader accused of misconduct may justify the actions as necessary rather than accepting the wrongdoing. -/- B. Social and Technological Factors Reinforcing Polarization -/- 1. Echo Chambers and Filter Bubbles -/- Social media platforms use algorithms to show users content that aligns with their views while filtering out opposing perspectives. -/- Result: People only see information that reinforces their existing beliefs, further deepening polarization. -/- 2. Misinformation and Political Propaganda -/- Governments, media outlets, and online influencers manipulate public opinion by spreading biased or false information. -/- Example: Fake news campaigns during elections that distort facts to manipulate voters. -/- 3. Fear and Emotional Manipulation -/- Political leaders and media often use fear-based narratives to shape public opinion. -/- Example: “If the opposition wins, the country will collapse,” creating panic and emotional bias rather than rational decision-making. -/- 4. Media Framing and Selective Reporting -/- News outlets emphasize certain stories and ignore others to shape public perception. -/- Example: One news channel focuses only on economic success under a leader, while another highlights only corruption scandals. -/- 5. Political and Economic Interests -/- Corporations, interest groups, and governments use media to maintain control over public opinion and policy. -/- Example: Politicians funding biased media outlets to spread their narratives. -/- II. Mind Control Bias Techniques: The Science of Influence -/- Mind control techniques (also known as psychological manipulation) exploit cognitive biases and behavioral psychology to shape public opinion and influence individual thinking. These techniques are widely used in propaganda, advertising, and political campaigns. -/- A. Persuasion and Influence Tactics -/- 1. Repetition Effect (Illusory Truth Effect) -/- The more a message is repeated, the more likely people are to believe it, even if it is false. -/- Example: A false claim about a politician being corrupt is repeated so often that people accept it as fact. -/- 2. Framing Effect -/- The way information is presented influences perception. -/- Example: “Tax relief for hardworking citizens” sounds positive, while “tax cuts for the wealthy” sounds negative—yet they refer to the same policy. -/- 3. Priming -/- Exposure to specific stimuli influences future decisions. -/- Example: Repeated association of an ethnic group with crime leads people to unconsciously stereotype them. -/- 4. Bandwagon Effect -/- People are more likely to believe something if they see many others believing it. -/- Example: A political leader’s approval ratings appear high in polls, influencing undecided voters to support them. -/- B. Psychological Control Techniques -/- 1. Fear and Scapegoating -/- Creating fear and blaming an external group as the cause of problems. -/- Example: “Immigrants are taking jobs,” creating hostility toward a group to manipulate public sentiment. -/- 2. Dissonance Reduction -/- People modify their beliefs when they experience psychological discomfort from contradictory information. -/- Example: A person who supports strict law enforcement but dislikes police brutality may justify excessive force as “necessary for safety.” -/- 3. Authority Bias -/- People tend to obey authority figures and accept their statements without questioning. -/- Example: A celebrity or leader endorses a political claim, leading followers to accept it as truth. -/- C. Mass Media and Propaganda Methods -/- 1. Controlled Narratives -/- Governments and corporations control what information is released to shape public perception. -/- Example: State-controlled media omitting news about protests or scandals. -/- 2. Pacing and Leading -/- Gradual introduction of ideas to make extreme positions seem normal over time. -/- Example: Media slowly shifting narratives on controversial issues to make them acceptable. -/- 3. Subliminal Messaging -/- Unconscious cues in advertisements, political speeches, and media that influence thoughts without awareness. -/- Example: Hidden symbols or phrases in campaign ads that create positive associations with a candidate. -/- III. The Connection Between Political Polarization and Mind Control -/- Political polarization and mind control techniques are interrelated. As society becomes more polarized, individuals are more susceptible to manipulation. Here’s how they interact: -/- 1. Polarization Creates a Fertile Ground for Mind Control -/- The more divided a society is, the easier it is for political actors to use manipulation techniques. -/- Example: In a polarized election, misinformation spreads more easily because people are already inclined to believe negative stories about the opposition. -/- 2. Mind Control Techniques Deepen Polarization -/- Media framing, misinformation, and psychological manipulation create a feedback loop where divisions grow stronger. -/- Example: Social media algorithms push divisive content, reinforcing people’s biases and making compromise impossible. -/- 3. Fear and Emotional Manipulation Maintain Division -/- Political leaders exploit fear to keep their supporters loyal. -/- Example: “If the other party wins, your freedoms will be taken away,” preventing rational debate. -/- 4. Echo Chambers and Filter Bubbles Block Critical Thinking -/- People exposed only to biased information become increasingly radicalized. -/- Example: A person who only follows one-sided news sources will believe their political opponents are evil rather than fellow citizens with different opinions. -/- Conclusion: How to Resist Polarization and Mind Control -/- Understanding the scientific principles behind political polarization and mind control techniques can help individuals resist manipulation. Some strategies include: -/- Critical Thinking – Question sources of information and seek diverse viewpoints. -/- Media Literacy – Recognize propaganda techniques in news and social media. -/- Emotional Awareness – Avoid reacting emotionally to political content and analyze information logically. -/- Avoiding Echo Chambers – Engage with different perspectives and avoid isolating oneself in ideological bubbles. -/- By applying these principles, societies can move toward a more rational, less divided political landscape, where decisions are based on reason rather than manipulation. -/- . (shrink)

Natalia Tomashpolskaia, "Predictive World", pp. 301–308. -/- In the contemporary world, the scientific model of reality has become prognostic and predictive. Scientists make predictions based on facts, re- search, and experiments. These predictions create a new picture of reality and have a great impact on people’s behavior and decision-making. For in- stance, we can observe a vivid manifestation of this phenomenon in mod- ern medicine. Prognosis replaces diagnoses, and diagnoses and vital de- cisions begin to be based on (...) a prognosis. However, not only sciences, but the mass-media news industry also has become prognostic. Nowadays, the prevailing part of all news consists not of facts but of predictions and pro- gnoses (economic, political, societal, environmental, medical, etc.). All types of analysts and prognosticators in all spheres have become in de- mand. To sum up, nowadays we do not live here and now but we are living in constant stress awaiting negative events based on some prognosis we have believed in and these beliefs condition our current behaviour. (shrink)

In an ever-changing world, when we search for answers on our present challenges, it can be tricky to extrapolate past realities when concerning science-based issues. Climate change, public health or artificial intelligence embody issues on how scientific evidence is often challenged, as false beliefs could drive the design of public policies and legislation. Therefore , how can we foresee if science can tip the scales of political legislation? In this article, we outline how models of historical cases (...) can be used to predict and understand how scientific evidence can influence the emergence (or fall-back) of science based-legislation. We also present frameworks on how to use past episodes of History of Science and Alternative History insights to build epistemic models, based on previous successful approaches on the spread of scientific misinformation. These models will help the accuracy of the design of eventual alternative realities, that can come insightful on present decision making methodologies. (shrink)

After providing a brief overview of the economic theory of judicial decisions this paper presents an argument for why not only the economic theory of judicial decisions, but also the rational approach in general, most often fails in explaining decision-making. Work done within the research program of New Institutionalism is presented as a possible alternative. Within this research program judicial activity is conceptualized as the activity of "interpreting the rules of the game", i.e. the institutions that frame the (...) economic and political interaction in a society. Such a conceptualization of judicial interpretation and judicial decision-making would have to depart from rational choice modes of reasoning, and should instead focus on how human beings actually reason, learn and choose drawing from research in cognitive science. (shrink)

I begin this article with an increasingly accepted claim: that emotions lend differential weight to states of affairs, helping us conceptually carve the world and make rational decisions. I then develop a more controversial assertion: that environments have non-subjective emotional qualities, which organize behavior and help us make sense of the world. I defend this from ecological and related embodied standpoints that take properties to be interrelational outcomes. I also build on conceptions of experience as a cultural phenomenon, one that (...) coheres around shared environmental contours and public emotional concerns, introducing normative constraints (or what might be called “world grammars”). Endorsing this outlook suggests an argument for the view that cultural spaces have affectively charged, non-subjective, normative openings and closures. These openings and closures engender selectively permeable barriers which cordon space without physically preventing entry, as seen with decorative half walls and elevation changes. An area with such barriers may look emotionally hostile to, say, the dispirited homeless who are in fact less welcome there. Outcomes like these might be thought of as “political affordances.” These affordances can be regarded as normative openings and closures that implicitly filter, and hence segregate, according to various social divisions. Although registering political affordances requires more than the detection of ambient arrays, the notion retains core Gibsonian ideas: that affordances are values, that these values are linked with how a space can be used, and that the existence and nature of such affordances is not a subjective matter. (shrink)

This volume presents research that integrates decision making and creativity within the social contexts in which these processes occur. The volume is an essential addition to and expansion of recent approaches to decision making. Such approaches attempt to incorporate more of the psychological and socio-cultural context in which human decision making takes place. The authors come from different disciplines and also belong to a broad spectrum of research traditions. They present innovative chapters dealing with (...) both theoretical and empirical aspects of decision making in different personal and organizational contexts. All chapters are written from the perspective that human decision making is inherently social and more or less creative. The volume addresses fundamental questions about the nature of human decision making as it occurs in different social contexts. Thereby, it becomes essential reading for researchers in decision making and for advanced students in psychology, management science, informatics, and related disciplines. (shrink)

The study aimed to identify the reality of decision-making in the local NGOs in Gaza Strip. In order to achieve the objectives of the study and to test its hypotheses, the analytical descriptive method was used, relying on the questionnaire as a main tool for data collection. The study society was one of the decision makers in the local NGOs in Gaza Strip. The study population reached 78 local NGOs in Gaza Strip. A Census Method of the (...) possible study community was adopted, and the use of the Statistical Package for Social Sciences (SPSS) was mainly based on the analysis and analysis of the data obtained through the survey tool. The study reached a set of results, the most important of which are: NGOs follow a decision-making mechanism. NGOs examine the problems and causes of the organization. Organizations are less concerned with stakeholder participation. Make decision. The main recommendations of the study are: To promote systematic methods of decision-making in NGOs in Gaza Strip: Local NGOs in Gaza Strip should continue to develop their competencies in order to make sound and correct decisions and encourage them to follow the scientific methodologies in the mechanism of taking Decisions. (shrink)

During the corona pandemic, politicians have been forced to make urgent decisions under pressure while balancing between challenging options: protecting citizens’ health or causing major social and economic difficulties through security measures. Part of the dilemma has been whether the chosen security measures are oversized, causing fundamental economic and social problems, or not sufficiently enough, thus putting people’s lives at risk. In illustrating our discussion with actions taken by press conferences (PCs) of the Finnish Government, we discuss how nonknowing has (...) governed political decision-making in the corona crisis and how tackling the pandemic has required politicians and experts to develop a capability of dealing with the epistemic conditions of nonknowledge. When information about the virus was constantly updated, the epistemic states of ‘not-yet-known’ or ‘partly-known’ substantially affect the rhythms in which political decisions are made in managing the spread of COVID-19. We suggest that Prime Minister Marin and her cabinet developed a policy of epistemic humility where the legitimation of decision is not based on scientific knowledge but rather on the temporality of nonknowing. The crisis created a favourable momentum for addressing issues of nonknowing in politics, which are easily kept outside of the public attention. (shrink)

This book is concerned with helping you improve your approach to decision-making. The author examines judgement in a selection of managerial contexts and provides important understanding that can help you make better leadership decisions. The book also pinpoints the in-house politics of organisational decision-making. Drawing on the very latest research, it introduces practical techniques that show you how to analyse and develop your own decision-making style. It will help you to deliver sharp and insightful (...) analyses of your business and develop effective solutions. In addition, it presents simple checklists that will give you vital insights throughout the decision-making process. Students and practitioners of leadership, management, and allied fields will find this book useful in order to understand and implement useful methods. (shrink)

The aim of this paper is to argue that intuitive methods of moral decision making are objective tools on the grounds that they are reasons based. First, I will conduct a preliminary analysis in which I highlight the acceptance of methodological pluralism in the practice of medical ethics. Here, the point is to show the possibility of using intuitive methods given the pluralism framework. Second, I will argue that the best starting point of elaborating such methods is a (...) bottom-up perspective. Third, I will address the worry of subjectivism. Under the influence of certain rationalist positions and recent developments in cognitive science and moral psychology, one might think that intuitive methods of moral decision making are essentially subjective and emotion based. If moral intuitions are the result of emotional reactions and intuitive reasoning is emotionally driven, then there are reasons to believe intuitive methods are subjective and relative to particular psychological constitution. Against this picture, I will argue that intuitive methods of moral decision making are essentially reasons-based. A Wittgensteinian approach will show that intuitive methods of moral decision making are conceptually linked with criteria of morality. (shrink)

While the debate on values in science focuses on normative questions on the level of the individual (e.g. should researchers try to make their work as value free as possible?), comparatively little attention has been paid to the institutional and professional norms that researchers are expected to follow. To address this knowledge gap, we conduct a content analysis of leading national codes of conduct for research integrity of European countries, and structure our analysis around the question: do these documents (...) allow for researchers to be influenced by “non-epistemic” (moral, cultural, commercial, political, etc.) values or do they prohibit such influence in compliance with the value-free ideal (VFI) of science? Our results return a complex picture. On the one hand, codes of conduct consider many non-epistemic values to be a legitimate influence on the decision-making of researchers. On the other, most of these documents include what we call _VFI-like positions_: passages claiming that researchers should be free and independent from any external influence. This shows that while many research integrity documents do not fully endorse the VFI, they do not reject it and continue to be implicitly influenced by it. This results in internal tensions and underdetermined guidance on non-epistemic values that may limit some of the uses of research integrity codes, especially for purposes of ethical self-regulation. While codes of conduct cannot be expected to decide how researchers should act in every instance, we do suggest that they acknowledge the challenges of how to integrate non-epistemic values in research in a more explicit fashion. (shrink)

This paper explores the defects in fuzzy (hyper) graphs (as complex (hyper) networks) and extends the fuzzy (hyper) graphs to fuzzy (quasi) superhypergraphs as a new concept.We have modeled the fuzzy superhypergraphs as complex superhypernetworks in order to make a relation between labeled objects in the form of details and generalities. Indeed, the structure of fuzzy (quasi) superhypergraphs collects groups of labeled objects and analyzes them in the form of the part to part of objects, the part of objects to (...) the whole group of objects, and the whole to the whole group of objects at the same time. We have investigated the properties of fuzzy (quasi) superhypergraphs based on any positive real number as valued fuzzy (quasi) superhypergraphs, considering the complement of valued fuzzy (quasi) superhypergraphs, the notation of isomorphism of valued fuzzy (quasi) superhypergraphs based on the permutations, and we have presented the isomorphic conditions of (self complemented) valued fuzzy (quasi) superhypergraphs. The concept of impact membership value of fuzzy (quasi) superhypergraphs is introduced in this study and it is applied in designing the real problem in the real world. Finally, the problem of business superhypernetworks is presented as an application of fuzzy valued quasi superhypergraphs in the real world. (shrink)

This article explores the use of model organisms in studying the cognitive phenomenon of decision-making. Drawing on the framework of biological control to develop a skeletal conception of decision-making, we show that two core features of decision-making mechanisms can be identified by studying model organisms, such as E. coli, jellyfish, C. elegans, lamprey, and so on. First, decision mechanisms are distributed and heterarchically structured. Second, they depend heavily on chemical information processing, such as (...) that involving neuromodulators. We end by discussing the implications for studying distinctively human decision-making. (shrink)

Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these questions. This report (...) sets out some possible approaches, and describes some of the ways government is already engaging with these issues. (shrink)

This volume considers forms of information manipulation and restriction in contemporary society. It explores whether and when manipulation of the conditions of inquiry without the consent of those manipulated is morally or epistemically justified. The contributors provide a wealth of examples of manipulation, and debate whether epistemic paternalism is distinct from other forms of paternalism debated in political theory. Special attention is given to medical practice, science communication, and research in science, technology, and society. Some of the (...) contributors argue that unconsenting interference with or "conceptual engineering" of people’s beliefs and ability of inquire is consistent with, and others that it is inconsistent with, efforts to democratize knowledge and decision-making. (shrink)

We argue that deliberative decision-making that is inclusive, transparent and accountable can contribute to more trustworthy and legitimate decisions on difficult ethical questions and political trade-offs during the pandemic and beyond.

At least since Francis Bacon, the slogan “knowledge is power” has been used to capture the relationship between decision-making at a group level and information. We know that being able to shape the informational environment for a group is a way to shape their decisions; it is essentially a way to make decisions for them. This paper focuses on strategies that are intentionally, by design, impactful on the decision-making capacities of groups, effectively shaping their ability to (...) take advantage of information in their environment. Among these, the best known are political rhetoric, propaganda, and misinformation. The phenomenon this paper brings out from these is a relatively new strategy, which we call slopaganda. According to The Guardian, News Corp Australia is currently churning out 3000 “local” generative AI (GAI) stories each week. In the coming years, such “generative AI slop” will present multiple knowledge-related (epistemic) challenges. We draw on contemporary research in cognitive science and artificial intelligence to diagnose the problem of slopaganda, describe some recent troubling cases, then suggest several interventions that may help to counter slopaganda. (shrink)

The application of artificial intelligence (AI) to judicial decision-making has already begun in many jurisdictions around the world. While AI seems to promise greater fairness, access to justice, and legal certainty, issues of discrimination and transparency have emerged and put liberal democratic principles under pressure, most notably in the context of bail decisions. Despite this, there has been no systematic analysis of the risks to liberal democratic values from implementing AI into judicial decision-making. This article sets (...) out to fill this void by identifying and engaging with challenges arising from artificial judicial decision-making, focusing on three pillars of liberal democracy, namely equal treatment of citizens, transparency, and judicial independence. Methodologically, the work takes a comparative perspective between human and artificial decision-making, using the former as a normative benchmark to evaluate the latter. -/- The chapter first argues that AI that would improve on equal treatment of citizens has already been developed, but not yet adopted. Second, while the lack of transparency in AI decision-making poses severe risks which ought to be addressed, AI can also increase the transparency of options and trade-offs that policy makers face when considering the consequences of artificial judicial decision-making. Such transparency of options offers tremendous benefits from a democratic perspective. Third, the overall shift of power from human intuition to advanced AI may threaten judicial independence, and with it the separation of powers. While improvements regarding discrimination and transparency are available or on the horizon, it remains unclear how judicial independence can be protected, especially with the potential development of advanced artificial judicial intelligence (AAJI). Working out the political and legal infrastructure to reap the fruits of artificial judicial intelligence in a safe and stable manner should become a priority of future research in this area. (shrink)

G. W. Leibniz developed a new model for rational decision-making which is suited to complicated decisions, where goods do not rule each other out, but compete with each other. In such cases the deliberator has to consider all of the goods and pick the ones that contribute most to the desired goal which in Leibniz’s system is ultimately the advancement of universal perfection. The inclinations to particular goods can be seen as vectors leading to different directions much like (...) forces in Leibniz’s dynamics. The vectorial model of rational decision-making is related to Leibniz’s work with metaphysical physics and the calculus of variations and is a heuristic tool which helps in finding reasonable combinations – in ideal cases optimums - between competing goods. By applying the model, the decision-maker can map and compare outcomes of combinations of goods in question and practice a kind of pseudo-mechanical arithmetic of reasons. A central feature of the model is the possibility to employ geometrical figures to help the conceptualization. In this paper I present the vectorial model, examine its applications in practical cases from political theory, jurisprudence and ethics Leibniz presented, and compare the model to recent theories of acting under uncertainty, such as bounded rationality and optimizing under constraints. (shrink)

The Universal Formula for Eliminating Government Corruption: A Natural Law-Based Approach -/- Introduction -/- Government corruption is one of the most persistent obstacles to societal progress, leading to economic decline, weakened institutions, and widespread inequality. Traditional anti-corruption measures—such as stricter laws, transparency initiatives, and public awareness campaigns—have failed to fully eliminate corruption because they do not address the problem at a systemic and scientific level. -/- By applying the universal formula, which is based on the universal law of balance in (...) nature, we can understand corruption as a systemic defect—a violation of natural equilibrium that causes inefficiency and societal suffering. This essay will provide a comprehensive scientific explanation of corruption, supported by research, and propose a complete solution that integrates education, institutional reforms, AGI-driven governance, cultural adaptation, and strategic implementation. -/- 1. The Science Behind Corruption: A Systemic Imbalance -/- A. Psychological and Biological Causes → Internal Homeostasis -/- Scientific research suggests that corruption is rooted in human psychology and biology, particularly in: -/- Evolutionary survival instincts – Studies indicate that self-preservation and resource hoarding behaviors evolved to ensure survival but can also lead to greed and corruption in modern societies. (Reference: Trivers, 1971 – Evolutionary theory of reciprocity) -/- Cognitive biases – Research in behavioral psychology shows that self-justification, moral disengagement, and in-group favoritism make individuals rationalize corrupt behavior. (Reference: Bandura, 1999 – Moral disengagement theory) -/- Neurological reward systems – Studies using fMRI scans reveal that bribery activates brain regions associated with pleasure, reinforcing corrupt behaviors. (Reference: Ariely & Loewenstein, 2006 – Neurological basis of unethical behavior) -/- Universal Formula Solution: -/- Educational reprogramming is needed to counteract these internal imbalances. -/- Schools should instill ethical reasoning, self-regulation, and critical thinking from an early age. -/- Leaders must be trained to recognize that corruption leads to long-term systemic instability, disrupting both individual and societal balance. -/- B. Economic Incentives and Systemic Defects → Structural Homeostasis -/- Economists have long observed that corruption is often a rational response to flawed systems where: -/- Low salaries and financial insecurity create incentives for bribery. (Reference: Becker & Stigler, 1974 – Economics of crime and punishment) -/- Weak regulatory oversight allows corruption to persist with minimal consequences. -/- Lack of transparency in financial systems enables embezzlement and fraud. -/- Universal Formula Solution: -/- The economic system must be free of defects—governments should: -/- Ensure fair wages for public officials to reduce bribery incentives. -/- Use blockchain-based transparency systems to track public spending. -/- Implement AI-driven financial audits to detect corruption in real time. -/- C. Political and Institutional Weakness → Governance Homeostasis -/- Corruption thrives when institutions fail to enforce accountability and transparency. -/- The Principal-Agent Problem: Public officials (agents) may act in their own interests rather than serving the public (principals). (Reference: Rose-Ackerman, 1978 – Corruption and governance theory) -/- Legal Loopholes: Weak anti-corruption laws allow elites to manipulate the system. -/- Lack of Whistleblower Protections: Fear of retaliation prevents corruption from being exposed. -/- Universal Formula Solution: -/- Governments must function like biological systems, with constant monitoring and correction mechanisms: -/- Real-time transparency tools (AI-driven monitoring of government transactions). -/- Independent anti-corruption agencies with full enforcement powers. -/- Legal frameworks based on the principle of natural balance, where punishments restore equilibrium rather than being arbitrary. -/- D. Cultural Normalization of Corruption → Collective Homeostasis -/- In some societies, corruption is seen as an accepted norm due to: -/- Patronage networks and nepotism embedded in political cultures. -/- Religious and social justifications for bribery (“gifts” given in exchange for favors). -/- Distrust in the justice system, leading to reliance on informal corruption-based solutions. -/- Universal Formula Solution: -/- A holistic education system must be implemented to reprogram societal attitudes toward corruption. -/- Schools should teach: -/- The universal law of balance and its ethical implications. -/- The cause-and-effect nature of corruption—how even small acts of dishonesty contribute to systemic collapse. -/- Critical thinking skills to challenge corrupt norms and misinformation. -/- 2. Case Studies: Applying the Universal Formula to Real-World Corruption -/- Case Study 1: Singapore’s Zero-Tolerance Approach -/- Singapore successfully reduced corruption by: -/- Increasing public sector salaries to remove bribery incentives. -/- Strict enforcement of anti-corruption laws, ensuring accountability. -/- Cultural reprogramming through education and public campaigns. -/- Universal Formula Connection: Singapore’s model aligns with systemic homeostasis, ensuring a balance between economic incentives, strong institutions, and ethical education. -/- Case Study 2: Scandinavian Countries – Transparency and Trust -/- Nordic countries (Denmark, Sweden, Norway) maintain low corruption levels through: -/- Public trust in institutions based on long-term systemic balance. -/- High transparency in government spending. -/- Strong legal frameworks with immediate corrective feedback mechanisms. -/- Universal Formula Connection: These countries maintain governance homeostasis, preventing corruption through self-correcting institutional designs. -/- 3. Implementing the Universal Formula to Eliminate Corruption -/- A. Education Reform: The Foundation of Ethical Governance -/- Integrate the universal law of balance into curricula from elementary to higher education. -/- Teach cause-and-effect relationships in governance (e.g., how small bribes lead to systemic collapse). -/- Develop leadership training programs that emphasize ethical decision-making based on natural balance. -/- B. Institutional Reforms: Creating a Self-Correcting System -/- Implement blockchain-based transparency systems for public finance. -/- Strengthen whistleblower protections to ensure safe reporting of corruption. -/- Decentralize power to reduce opportunities for monopolistic corruption. -/- C. AGI-Driven Ethical Governance -/- Artificial General Intelligence (AGI) can be programmed with the universal formula to: -/- Monitor government transactions and detect corruption patterns. -/- Ensure transparent decision-making based on systemic balance. -/- Remove human cognitive biases from governance. -/- D. Cultural Adaptation: Tailoring Solutions to Different Societies -/- In high-corruption societies, initial reforms should focus on education and small wins to shift cultural attitudes. -/- In developing countries, AGI-driven transparency tools can bypass weak institutions. -/- In democratic nations, citizen engagement should be emphasized to create self-regulating governance. -/- --- -/- 4. Addressing Challenges and Counterarguments -/- Objection: “Corruption is inevitable in human nature.” Response: Human nature includes both corruption and ethical reasoning—education determines which dominates. -/- Objection: “Elites will resist systemic reforms.” Response: AGI-driven transparency tools and mass education campaigns can reduce elite control. -/- Objection: “Implementing these changes is unrealistic.” Response: Small-scale pilots in cities or institutions can demonstrate success before national adoption. -/- --- -/- Conclusion: The Universal Formula as the Ultimate Solution to Corruption -/- Corruption is a systemic defect—a violation of the universal law of balance in nature. By applying scientific principles of homeostasis, cause and effect, and feedback regulation, we can create a corruption-free governance model. The universal formula offers the only complete solution, integrating education, institutional reform, AGI-driven oversight, and cultural adaptation. -/- If implemented, this model could lead to a world where governance functions as a perfectly balanced system—free of defects, ethical, and in harmony with natural law. -/- . (shrink)

The proliferation of conspiracy theories poses a significant threat to democratic decision-making. To counter this threat, many political theorists advocate countering conspiracy theories with ‘more speech’ (or ‘counterspeech’). Yet conspiracy theories are notoriously resistant to counterspeech. This article aims to conceptualise and defend a novel form of counterspeech – narrative counterspeech – that is singularly well-placed to overcome this resistance. My argument proceeds in three steps. First, I argue that conspiracy theories pose a special problem for counterspeech (...) for three interconnected reasons relating to salience, emotion and internal coherence. Drawing on recent work in social epistemology, philosophy of emotion and cognitive science, I then demonstrate that narrative forms of counterspeech constitute an apt response to this diagnosis. Finally, I forestall two objections: the first questions the likely effectiveness of narrative counterspeech; the second insists that, even if it were effective, it would remain unacceptably manipulative. Neither objection, I contend, is ultimately compelling. (shrink)

In times of climate change and public debt, a concern for intergenerational justice should lead us to have a closer look at theories of intergenerational justice. It should also press us to provide institutional design proposals to change the decision-making world that surrounds us. This book provides an exhaustive overview of the most important institutional proposals as well as a systematic and theoretical discussion of their respective features and advantages. It focuses on institutional proposals aimed at taking the (...) interests of future generations more seriously, and does so from the perspective of applied political philosophy, being explicit about the underlying normative choices and the latest developments in the social sciences. It provides citizens, activists, firms, charities, public authorities, policy-analysts, students, and academics with the body of knowledge necessary to understand what our institutional options are and what they entail if we are concerned about today's excessive short-termism. (shrink)

Several recent criticisms of the somatic marker hypothesis (SMH) identify multiple ambiguities in the way it has been formulated by its chief proponents. Here we provide evidence that this hypothesis has also been interpreted in various different ways by the scientific community. Our diagnosis of this problem is that SMH lacks an adequate computational-level account of practical decision making. Such an account is necessary for drawing meaningful links between neurological- and psychological-level data. The paper concludes by providing a (...) simple, five-step model of practical decision making. Recasting SMH in terms of this model generates more precise and empirically tractable computational-level hypotheses about the various ways that somatic markers might influence practical decisions. (shrink)

In this chapter, we integrate three distinct strands of thought to argue that the concept of “fairness” varies significantly across cultures. As a result, ensuring that human-AI interactions meet relevant fairness standards requires a deep understanding of the cultural contexts in which AI-enabled systems are deployed. Failure to do so will not only result in the generation of unfair outcomes by an AI-enabled system, but it will also degrade legitimacy of and trust in the system. The first strand concerns the (...) dominant approach taken in the technology industry to ensure that AI-enabled systems are fair. This approach is to reduce fairness to some mathematical formalism that can be applied universally, a quintessentially Western conception of fairness. The second strand concerns alternative conceptions of fairness that have their roots in philosophical traditions of the East, namely Confucian virtue ethics. Understanding how individuals from diverse cultural backgrounds perceive fairness—particularly their beliefs about fairness in human-to-human interactions—is crucial for understanding how they will interpret fairness in human-AI interactions. Building on these philosophical and behavioral differences, as highlighted by empirical research, the third strand integrates insights from political science and interdisciplinary studies. This perspective offers valuable guidance on designing AI-enabled systems to align with contextually relevant standards of fairness. Examining existing beliefs about fairness within the context of institutional decision-making provides valuable insights into what people expect from AI-generated decisions. These expectations often include key elements such as a sufficient degree of transparency, clear lines of accountability, and mechanisms to contest decisions made by the system—all of which are essential components of procedural fairness. Rather than adopting a one-size-fits-all approach to ensuring fairness, the design and deployment of AI systems must carefully account for the operating environment, including the socio-political and cultural context, to ensure that the system aligns with the relevant standards of fairness. (shrink)

Plan des séances (12) : I- A – What is decision-making? • Session 1: A transdisciplinary perspective • Session 2: Non-western mindsets B – Starting with the basics… • Session 1: New trends in Game Theory: from statics to dynamics • Session 2: Experiment with students C – Dealing with uncertainty… • Session 1: The multifaceted nature of uncertainty • Session 2: Experiment with students D – Moving from individual-centric logics … • Session 1: Bounded rationalities • Session (...) 2: Cultural perspectives E – Alternative logics ? • Session 1: Non-rational or “alternatively” rational? • Session 2: Case study: complex negotiations F – Final Exam and Future Perspectives • Session 1: Final Exam • Session 2: Focus on Neuroeconomics -/- . (shrink)

While most of healthcare research and practice fully endorses evidence-based healthcare, a minority view borrows popular themes from philosophy of science like underdetermination and value-ladenness to question the legitimacy of the evidence-based movement’s philosophical underpinnings. While the feminist origins go unacknowledged, those critics adopt a feminist reading of the “gap argument” to challenge the perceived objectivism of evidence-based practice. From there, the critics seem to despair over the “subjective elements” that values introduce to clinical reasoning, demonstrating that they do (...) not subscribe to feminist science studies’ normative program——where contextual values can enable good science and justified decisions. In this paper, I investigate why it is that the critics of evidence-based medicine adopt feminist science’s characterization of the problem but resist the productive solutions offered by those same theorists. I suggest that the common feminist empiricist appeal to idealized epistemic communities is impractical for those working within the current biomedical context and instead offer an alternate stream of feminist research into the empirical content of values (found in the work of Elizabeth Anderson and Sharyn Clough) as a more helpful recourse for facilitating the important task of legitimate and justified clinical decision-making. I use a case study on clinical decision-making to illustrate the fruitfulness of the latter feminist empiricist framework. -/- See response by Sharyn Clough: http://wp.me/p1Bfg0-1aN See reply by Maya Goldenberg: http://wp.me/p1Bfg0-1oY. (shrink)

Distributive justice decision making tends to require a trade off between different valued outcomes. The present study tracked computer mouse cursor movements in a forced-choice paradigm to examine for tension between different parameters of distributive justice during the decision-making process. Participants chose between set meal distributions, to third parties, that maximised either equality (the evenness of the distribution) or efficiency (the total number of meals distributed). Across different formulations of these dilemmas, responding was consistent with the (...) notion that individuals tend to base decisions in part on the magnitude of these parameters. In addition, dilemmas associated with inconsistent responding across the sample tended to elicit the greatest spatial deviation of the cursor, potentially reflecting dilemma difficulty. One interpretation of these results is that individuals value equality and efficiency in such a way that moral dilemmas are resolved by comparing the perceived value of these qualitatively different parameters, consistent with a value pluralistic framework of decision making. A post-hoc analysis indicated that individuals also incorporated sufficiency concerns during distributive justice decision making. The results are discussed in relation to political philosophy. (shrink)

Over the past few years we have seen an increasing number of legal proceedings related to inappropriately implemented technology. At the same time career paths have diverged from the foundation of statistics out to Data Scientist, Machine Learning and AI. All of these new branches being fundamentally branches of statistics and mathematics. This has meant that formal training has struggled to keep up with what is required in the plethora of new roles. Mathematics as a taught subject is still based (...) in decades old teaching specifications and has not been updated centrally as a curriculum to include new technologies, coding or ethics. This subject area is firmly split between ICT and Mathematics in secondary school, continuing on to be split between Computer Science and Mathematics at University. As we move forwards with technology we see these once seperate fields becoming increasingly intertwined. We propose that existing provision for concepts such as ethics and societal responsibility in analysis currently exist but have not been incorporated into the mainstream curriculum of School or University. This is partially due to the split between fields in an educational setting but also the speed with which education is able to keep up with Industry and its requirements. Principles and frameworks of socially responsible modelling beginning at school level means that ethics and real-life modelling are introduced much earlier than normal. Integrating these concepts with philosophical principles of society and politics ensures a suitable background for future modellers and users of technology to draw on. Modelling is currently undertaken in technical sciences at University but the Subject Benchmark Statements are not current (Subject Benchmark Statements describe the nature of study and the academic standards expected of graduates in specific subject areas. They show what graduates might reasonably be expected to know, do and understand at the end of their studies). Even in 2019 the UK did not yet have Benchmark Statements that discuss the learning to be done in Higher Education around AI and advanced Machine Learning. Where there is provision for AI and Data Science within degree courses ethics is not generally highlighted as a key concept. As such there can be a lack of focus on the teaching of modelling or ethics as specific skills. The skills required to use a basic statistical model, for example would not be sufficient to start from scratch and build an ethical model reflecting real-world scenarios with which to inform policy or organisational decision making. This is a skill in itself and includes such aspects as awareness of data quality, ethics, user implementation problems, context and an understanding of the environment that the model is being created in. As the field of analytics has progressed so quickly in the last decade modules such as those covering AI have simply been bolted on to Maths or Computing degrees rather than being fully detailed as key areas of study or driving new, more integrated courses of study. This paper posits that gaps at primary, secondary and tertiary educational levels need to be addressed. Implementing and integrating key concepts from school level is essential so that areas such as assumptions, caveats, quality assurance and answering the right questions with constructive challenge become a cultural fixture. This not only helps developers of technology but users of rapidly developing technology also. In addition, leadership and soft skills as part of this education will ensure that a cultural shift can take place and promote continuous improvement in analysis within organisations. The addition of key concepts throughout the educational system and the updating of potentially outdated curriculums is key to ensuring a functional society. A society where every citizen is a user of tech and those that develop it can be ethical and socially responsible in its development. (shrink)

The public administrators often face with the challenges involving the difficult ethical issues. As a defender and executor for social justice, he is expected to deliberate on the concept or value of equality and equity beyond the efficacy and productivity. They are politically responsible for their constituents, which interacts with the professional responsibility on equitable administration and equal treatment of law. In this ambit, the paper attempts to make some of illustrative lesson between the two concepts and ethical paradigm of (...) decision making. (shrink)

Goal: To assess public knowledge and attitudes towards the family’s role in deceased organ donation in Europe. -/- Methods: A systematic search was conducted in CINHAL, MEDLINE, PAIS Index, Scopus, PsycINFO, and Web of Science on December 15th, 2017. Eligibility criteria were socio-empirical studies conducted in Europe from 2008 to 2017 addressing either knowledge or attitudes by the public towards the consent system, including the involvement of the family in the decision-making process, for post-mortem organ retrieval. Screening (...) and data collection were performed by two or more independent reviewers for each record. -/- Results: Of the 1482 results, 467 studies were assessed in full-text form, and 33 were included in this synthesis. When the deceased has not expressed any preference, a majority of the public support the family's role as a surrogate decision-maker. When the deceased expressly consented, the respondents' answers depend on whether they see themselves as potential donors or as a deceased's next-of-kin. Answers also depend on the relationship between the deceased and the decision-maker(s) within the family, and on their ethnic or cultural background. -/- Conclusions: Public views on the authority of the family in organ donation decision-making require further research. A common conceptual framework and validated well-designed questionnaires are needed for future studies. The findings should be considered in the development of Government policy and guidance regarding the role of families in deceased organ donation. (shrink)

Many seem to think that AI-induced responsibility gaps are morally bad and therefore ought to be avoided. We argue, by contrast, that there is at least a pro tanto reason to welcome responsibility gaps. The central reason is that it can be bad for people to be responsible for wrongdoing. This, we argue, gives us one reason to prefer automated decision-making over human decision-making, especially in contexts where the risks of wrongdoing are high. While we are (...) not the first to suggest that responsibility gaps should sometimes be welcomed, our argument is novel. Others have argued that responsibility gaps should sometimes be welcomed because they can reduce or eliminate the psychological burdens caused by tragic moral choice-situations. By contrast, our argument explains why responsibility gaps should sometimes be welcomed even in the absence of tragic moral choice-situations, and even in the absence of psychological burdens. (shrink)

Can new technology enhance purpose-driven, democratic dialogue in groups, governments, and societies? Online Deliberation: Design, Research, and Practice is the first book that attempts to sample the full range of work on online deliberation, forging new connections between academic research, technology designers, and practitioners. Since some of the most exciting innovations have occurred outside of traditional institutions, and those involved have often worked in relative isolation from each other, work in this growing field has often failed to reflect the full (...) set of perspectives on online deliberation. This volume is aimed at those working at the crossroads of information/communication technology and social science, and documents early findings in, and perspectives on, this new field by many of its pioneers. -/- CONTENTS: -/- Introduction: The Blossoming Field of Online Deliberation (Todd Davies, pp. 1-19) -/- Part I - Prospects for Online Civic Engagement -/- Chapter 1: Virtual Public Consultation: Prospects for Internet Deliberative Democracy (James S. Fishkin, pp. 23-35) -/- Chapter 2: Citizens Deliberating Online: Theory and Some Evidence (Vincent Price, pp. 37-58) -/- Chapter 3: Can Online Deliberation Improve Politics? Scientific Foundations for Success (Arthur Lupia, pp. 59-69) -/- Chapter 4: Deliberative Democracy, Online Discussion, and Project PICOLA (Public Informed Citizen Online Assembly) (Robert Cavalier with Miso Kim and Zachary Sam Zaiss, pp. 71-79) -/- Part II - Online Dialogue in the Wild -/- Chapter 5: Friends, Foes, and Fringe: Norms and Structure in Political Discussion Networks (John Kelly, Danyel Fisher, and Marc Smith, pp. 83-93) -/- Chapter 6: Searching the Net for Differences of Opinion (Warren Sack, John Kelly, and Michael Dale, pp. 95-104) -/- Chapter 7: Happy Accidents: Deliberation and Online Exposure to Opposing Views (Azi Lev-On and Bernard Manin, pp. 105-122) -/- Chapter 8: Rethinking Local Conversations on the Web (Sameer Ahuja, Manuel Pérez-Quiñones, and Andrea Kavanaugh, pp. 123-129) -/- Part III - Online Public Consultation -/- Chapter 9: Deliberation in E-Rulemaking? The Problem of Mass Participation (David Schlosberg, Steve Zavestoski, and Stuart Shulman, pp. 133-148) -/- Chapter 10: Turning GOLD into EPG: Lessons from Low-Tech Democratic Experimentalism for Electronic Rulemaking and Other Ventures in Cyberdemocracy (Peter M. Shane, pp. 149-162) -/- Chapter 11: Baudrillard and the Virtual Cow: Simulation Games and Citizen Participation (Hélène Michel and Dominique Kreziak, pp. 163-166) -/- Chapter 12: Using Web-Based Group Support Systems to Enhance Procedural Fairness in Administrative Decision Making in South Africa (Hossana Twinomurinzi and Jackie Phahlamohlaka, pp. 167-169) -/- Chapter 13: Citizen Participation Is Critical: An Example from Sweden (Tomas Ohlin, pp. 171-173) -/- Part IV - Online Deliberation in Organizations -/- Chapter 14: Online Deliberation in the Government of Canada: Organizing the Back Office (Elisabeth Richard, pp. 177-191) -/- Chapter 15: Political Action and Organization Building: An Internet-Based Engagement Model (Mark Cooper, pp. 193-202) -/- Chapter 16: Wiki Collaboration Within Political Parties: Benefits and Challenges (Kate Raynes-Goldie and David Fono, pp. 203-205) -/- Chapter 17: Debian’s Democracy (Gunnar Ristroph, pp. 207-211) -/- Chapter 18: Software Support for Face-to-Face Parliamentary Procedure (Dana Dahlstrom and Bayle Shanks, pp. 213-220) -/- Part V - Online Facilitation -/- Chapter 19: Deliberation on the Net: Lessons from a Field Experiment (June Woong Rhee and Eun-mee Kim, pp. 223-232) -/- Chapter 20: The Role of the Moderator: Problems and Possibilities for Government-Run Online Discussion Forums (Scott Wright, pp. 233-242) -/- Chapter 21: Silencing the Clatter: Removing Anonymity from a Corporate Online Community (Gilly Leshed, pp. 243-251) -/- Chapter 22: Facilitation and Inclusive Deliberation (Matthias Trénel, pp. 253-257) -/- Chapter 23: Rethinking the ‘Informed’ Participant: Precautions and Recommendations for the Design of Online Deliberation (Kevin S. Ramsey and Matthew W. Wilson, pp. 259-267) -/- Chapter 24: PerlNomic: Rule Making and Enforcement in Digital Shared Spaces (Mark E. Phair and Adam Bliss, pp. 269-271) -/- Part VI - Design of Deliberation Tools -/- Chapter 25: An Online Environment for Democratic Deliberation: Motivations, Principles, and Design (Todd Davies, Brendan O’Connor, Alex Cochran, Jonathan J. Effrat, Andrew Parker, Benjamin Newman, and Aaron Tam, pp. 275-292) -/- Chapter 26: Online Civic Deliberation with E-Liberate (Douglas Schuler, pp. 293-302) -/- Chapter 27: Parliament: A Module for Parliamentary Procedure Software (Bayle Shanks and Dana Dahlstrom, pp. 303-307) -/- Chapter 28: Decision Structure: A New Approach to Three Problems in Deliberation (Raymond J. Pingree, pp. 309-316) -/- Chapter 29: Design Requirements of Argument Mapping Software for Teaching Deliberation (Matthew W. Easterday, Jordan S. Kanarek, and Maralee Harrell, pp. 317-323) -/- Chapter 30: Email-Embedded Voting with eVote/Clerk (Marilyn Davis, pp. 325-327) -/- Epilogue: Understanding Diversity in the Field of Online Deliberation (Seeta Peña Gangadharan, pp. 329-358). -/- For individual chapter downloads, go to odbook.stanford.edu. (shrink)