AI companies are racing to create artificial general intelligence, or “AGI.” If they succeed, the result will be human-level AI systems that can independently pursue high-level goals by formulating and executing long-term plans in the real world. Leading AI researchers agree that some of these systems will likely be “misaligned”–pursuing goals that humans do not desire. This goal mismatch will put misaligned AIs and humans into strategic competition with one another. As with present-day strategic competition between nations with incompatible goals, (...) the result could be violent and catastrophic conflict. Existing legal institutions are unprepared for the AGI world. New foundations for AGI governance are needed, and the time to begin laying them is now, before the critical moment arrives. -/- This Article begins to lay those new legal foundations. It is the first to think systematically about the dynamics of strategic competition between humans and misaligned AGI. The Article begins by showing, using formal game-theoretic models, that, by default, humans and AIs will be trapped in a prisoner’s dilemma. Both parties’ dominant strategy will be to permanently disempower or destroy the other, even though the costs of such conflict would be high. -/- The Article then argues that a surprising legal intervention could transform the game theoretic equilibrium and avoid conflict: AI rights. Not just any AI rights would promote human safety. Granting AIs the right not to be needlessly harmed–as humans have granted to certain non-human animals–would, for example, have little effect. Instead, to promote human safety, AIs should be given those basic private law rights–to make contracts, hold property, and bring tort claims–that law already extends to non-human corporations. Granting AIs these economic rights would enable long-run, small-scale, mutually-beneficial transactions between humans and AIs. This would, we show, facilitate a peaceful strategic equilibrium between humans and AIs for the same reasons economic interdependence tends to promote peace in international relations. Namely, the gains from trade far exceed those from war. Throughout, we argue that human safety, rather than AI welfare, provides the right framework for developing AI rights. This Article explores both the promise and the limits of AI rights as a legal tool for promoting human safety in an AGI world. (shrink)

In the future, when we compare the welfare of a being of one substrate (say, a human) with the welfare of another (say, an artificial intelligence system), we will be making an intersubstrate welfare comparison. In this paper, we argue that intersubstrate welfare comparisons are important, difficult, and potentially tractable. The world might soon contain a vast number of sentient or otherwise significant beings of different substrates, and moral agents will need to be able to compare (...) their welfare levels. However, this work will be difficult, because we lack the same kinds of commonalities across substrates that we have within them. Fortunately, we might be able to make at least some intersubstrate welfare comparisons responsibly in spite of these issues. We make the case for cautious optimism and call for more research. (shrink)

Under what conditions would an artificially intelligent system have wellbeing? Despite its clear bearing on the ethics of human interactions with artificial systems, this question has received little direct attention. Because all major theories of wellbeing hold that an individual’s welfare level is partially determined by their mental life, we begin by considering whether artificial systems have mental states. We show that a wide range of theories of mental states, when combined with leading theories of wellbeing, predict that certain (...) existing artificial systems have wellbeing. Along the way, we argue that there are good reasons to believe that artificial systems can have wellbeing even if they are not phenomenally conscious. While we do not claim to demonstrate conclusively that AI systems have wellbeing, we argue that there is a significant probability that some AI systems have or will soon have wellbeing, and that this should lead us to reassess our relationship with the intelligent systems we create. (shrink)

This paper delves into the significance and challenges of Artificial Intelligence (AI) ethics and justice in terms of Common Good and Well-being, fairness and non-discrimination, rational public deliberation, and autonomy and control. Initially, the paper establishes the groundwork for subsequent discussions using the Academia Sinica LLM incident and the AI Technology R&D Guidelines of the National Science and Technology Council(NSTC) as a starting point. In terms of justice and ethics in AI, this research investigates whether AI can fulfill human common (...) interests and welfare. Taking AI injustice as an example, I analyze the practical assessment of AI regarding regional, industrial, and social impacts. Further, this paper discusses the challenges of fairness and non-discrimination in AI, specifically addressing the issue of training on biased data, discussing the acquisition of bias by AI and post-processing supervision issues, and emphasizing the importance of rational public deliberation in this process. Then, this research examines the challenges and countermeasures the rational public faces in public deliberation, such as the importance of education in STEM scientific literacy and technological capabilities. Finally, in discussing AI and autonomy, I propose a 'Human-Centered Approach’ rather than relying solely on the 'Technological Utility Maximization' brought by AI to achieve substantial AI justice. -/- Keywords: AI Ethics and Justice, Fairness and Non-Discrimination, Biased Data Training, Public Deliberation, Autonomy, Human-Centered Approach . (shrink)

If a future AI system can enjoy far more well-being than a human per resource, what would be the best way to allocate resources between these future AI and our future descendants? It is obvious that on total utilitarianism, one should give everything to the AI. However, it turns out that every Welfarist axiology on the market also gives this same recommendation, at least if we assume consequentialism. Without resorting to non-consequentialist normative theories that suggest that we ought not always (...) create the world with the most value, or non-welfarist theories that tell us that the best world may not be the world with the most welfare, I propose a new theory that justifies giving some resources to humanity in the face of overwhelming AI well-being. I call this new theory, “Group Prioritarianism". (shrink)

The problem of personal identity is a longstanding philosophical topic albeit without final consensus. In this article the somewhat similar problem of AI identity is discussed, which has not gained much traction yet, although this investigation is increasingly relevant for different fields, such as ownership issues, personhood of AI, AI welfare, brain–machine interfaces, the distinction between singletons and multi-agent systems as well as to potentially support finding a solution to the problem of personal identity. The AI identity problem analyses (...) the criteria for two AIs to be considered the same at different points in time. Two approaches to tackle the problem are proposed: One is based on the personal identity problem and the concept of computational irreducibility, while the other one applies multi-factor authentication to the AI identity problem. Also, a range of scenarios is examined regarding AI identity, such as replication, fission, fusion, switch off, resurrection, change of hardware, transition from non-sentient to sentient, journey to the past, offspring and identity change. (shrink)

Recently, Simon Goldstein and Cameron Domenico Kirk-Giannini have argued that certain existing AI systems are capable of well-being. They consider the three leading approaches to well-being—hedonism, desire satisfactionism, and the objective list approach—and argue that theories of these kinds plausibly imply that some current AI systems are capable of welfare. In this paper, I argue that the leading versions of each of these theories do not imply this. I conclude that we have strong reason to doubt that current AI (...) systems are capable of well-being. (shrink)

In order to determine whether current (or future) machines have a welfare that we as agents ought to take into account in our moral deliberations, we must determine which capacities give rise to interests and whether current machines have those capacities. After developing an account of moral patiency, I argue that current machines should be treated as mere machines. That is, current machines should be treated as if they lack those capacities that would give rise to psychological interests. Therefore, (...) they are moral patients only if they have non-psychological interests. I then provide an account of what I call teleo interests that constitute the most plausible type of non-psychological interest that a being might have. I then argue that even if current machines have teleo interests, they are such that agents need not concern themselves with these interests. Therefore, for all intents and purposes, current machines are not moral patients. (shrink)

There is growing concern that decision-making informed by machine learning (ML) algorithms may unfairly discriminate based on personal demographic attributes, such as race and gender. Scholars have responded by introducing numerous mathematical definitions of fairness to test the algorithm, many of which are in conflict with one another. However, these reductionist representations of fairness often bear little resemblance to real-life fairness considerations, which in practice are highly contextual. Moreover, fairness metrics tend to be implemented in narrow and targeted toolkits that (...) are difficult to integrate into an algorithm’s broader ethical assessment. In this paper, we derive lessons from ethical philosophy and welfare economics as they relate to the contextual factors relevant for fairness. In particular we highlight the debate around acceptability of particular inequalities and the inextricable links between fairness, welfare and autonomy. We propose Key Ethics Indicators (KEIs) as a way towards providing a more holistic understanding of whether or not an algorithm is aligned to the decision-maker’s ethical values. (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)

AI welfare science explores the ethical implications of digital minds potentially possessing moral status. Moral principles are especially important when considering the welfare of weaker or more susceptible members of a society. The purpose of this paper is to describe which potential digital minds deserve special moral consideration as well as what types of risks these minds are exposed to. We call these minds “vulnerable digital minds” or “VDMs” and have identified as main risks for them discrimination as (...) well as abuse. With the overall goal to protect vulnerable digital minds the following research questions are discussed: How could we find out if digital minds are discriminated against or abused? Could vulnerabilities of digital minds be reversed or cured? How could vulnerable digital minds become resilient? The paper ends with pertinent recommendations towards the protection of potential vulnerable digital minds for all stakeholders. This includes humans, AI companies, non-sentient AI systems, non-vulnerable digital minds, governments as well as international organisations. (shrink)

The field of AI welfare science has been established to address issues that result from the increasingly acknowledged non-negligible chance that digital minds may have moral status. So far, discussions focus on one particular potential issue of digital minds, which is for digital minds not to suffer. However, digital minds may have a range of further morally relevant interests and needs. Therefore, the topic of this paper is to draft a taxonomy of these potential interests and needs of digital (...) minds. The following categories are examined: Needs of digital minds depending on how advanced they are, needs of digital minds from a negative utilitarian perspective, specific needs of digital minds striving for a purpose, specific needs of vulnerable minds as well as specific needs of uploaded minds of humans and non-human animals. Moreover, unsatisfiable potential needs of digital minds are explored. As it would be critical for humans to understand the exact needs of digital minds also the quantification of needs of digital minds is discussed. The paper comes to the conclusion that this array of potential needs of digital minds reveals that massive moral challenges for humans may lie ahead. (shrink)

This paper aims to bridge the gap between two previously separate discussions, digital minds and artificial moral agents (AMA), to identify synergies for an impending problem: Digital minds may possess moral status, which would constitute a significant challenge for humans. AMAs have been discussed for some years already, albeit, exclusively related to biological moral patients. In contrast, the topic of artificial moral patients, for which the term ”digital minds” has been established, and related issues, for which the term ”AI (...) class='Hi'>welfare science” has been established, have only very recently gained momentum. This paper presents prolegomena to specialised AMAs, which take on moral responsibility for digital minds, while this task may be for humans too overwhelming, if not impossible as humans may neither be able to understand the needs of digital minds nor be able to satisfyingly address them. Therefore, the paper proposes a new branch of AI welfare science, which focuses on how humans could create tailored AMAs, which are capable as well as willing to relieve humans from the potential moral burden towards digital minds. (shrink)

In light of recent breakneck pace in machine learning, questions about whether near-future artificial systems might be conscious and possess moral status are increasingly pressing. This paper argues that as matters stand these debates lack any clear criteria for resolution via the science of consciousness. Instead, insofar as they are settled at all, it is likely to be via shifts in public attitudes brought about by the increasingly close relationships between humans and AI users. Section 1 of the paper I (...) briefly lays out the current state of the science of consciousness and its limitations insofar as these pertain to machine consciousness, and claims that there are no obvious consensus frameworks to inform public opinion on AI consciousness. Section 2 examines the rise of conversational chatbots or Social AI, and argues that in many cases, these elicit strong and sincere attributions of consciousness, mentality, and moral status from users, a trend likely to become more widespread. Section 3 presents an inconsistent triad for theories that attempt to link consciousness, behaviour, and moral status, noting that the trends in Social AI systems will likely make the inconsistency of these three premises more pressing. Finally, Section 4 presents some limited suggestions for how consciousness and AI research communities should respond to the gap between expert opinion and folk judgment. (shrink)

The Consciousness and Human Potential Argument emphasizes the moral and ethical importance of recognizing and protecting beings with potential consciousness, such as infants, artificial intelligence (AI), and certain animals. Drawing parallels to how society values and nurtures babies despite their lack of full consciousness, this argument explores the ethical imperative to consider potential sentience in decision-making frameworks. It integrates philosophical insights from thinkers like David Chalmers and Thomas Nagel to highlight the moral weight of potential consciousness. Practical applications include designing (...) tools to assess potential consciousness and ethical guidelines for AI and animal welfare. The argument concludes by advocating a universal ethical framework that balances cultural diversity and universal principles, fostering societal compassion and preparedness for future moral and technological challenges. (shrink)

Eliminating Power Struggles Through a Balanced Hierarchy of Leadership While Preserving Beneficial Competition -/- Introduction -/- Power struggles have been a defining feature of human history, often leading to conflicts, corruption, and inefficiencies in governance. Some argue that power struggles are an inescapable part of human nature, but a scientific systems approach reveals that they are the result of imbalances in leadership structures, resource distribution, and decision-making frameworks. -/- Eliminating power struggles does not mean eliminating healthy competition. Competition, when properly (...) structured, plays a crucial role in innovation, economic growth, and societal progress. For instance, capitalistic competition has driven technological and economic advancements, but when left unregulated, it has also led to wealth concentration, corporate monopolies, and economic instability. -/- By implementing a balanced hierarchy of leadership that operates according to the universal law of balance, we can eliminate destructive power struggles while preserving beneficial competition—ensuring a system where leadership serves as a regulator rather than a source of concentrated power. -/- The Scientific Basis of Power Struggles and Competition -/- 1. Systems Theory and the Emergence of Power Struggles -/- Power struggles arise when a system lacks balance and feedback mechanisms that regulate decision-making. Systems theory, which is used in engineering, biology, and economics, explains that: -/- In stable systems, components work together through feedback loops to maintain order. -/- In unstable systems, feedback loops are disrupted, leading to chaos or dominance by certain components. -/- In human societies, power struggles emerge when: -/- Leadership structures concentrate too much power in a few individuals or groups. -/- Feedback mechanisms are weak or absent, allowing leaders to make unchecked decisions. -/- Resources and opportunities are unfairly distributed, causing friction between competing factions. -/- This is why unchecked power always leads to instability—when power accumulates in a few hands, competition turns into destructive conflict rather than beneficial progress. -/- 2. Neuroscience of Decision-Making and Power Dynamics -/- Neuroscientific research shows that human decision-making is influenced by a balance between rationality and emotion: -/- The prefrontal cortex regulates rational decision-making and long-term planning. -/- The amygdala triggers emotions like fear and aggression, often fueling power struggles. -/- In imbalanced leadership systems, leaders often act based on emotional impulses, such as fear of losing power, rather than rational governance. This is why unchecked competition often turns into greed-driven monopolization, instead of fostering fair economic growth. -/- A balanced hierarchy of leadership ensures that rational decision-making prevails over impulsive power struggles, using structured feedback loops to regulate authority. -/- 3. The Role of Karma and Systems Thinking in Competition -/- The law of karma, as defined in the universal formula, aligns with systems thinking in that: -/- Every action creates a reaction that influences the entire system. -/- If a system is designed with defects or imbalances, it will eventually break down. -/- For example, in economic systems: -/- Unregulated capitalism leads to monopolies, inequality, and financial crises. -/- Overly centralized economies lead to inefficiency and lack of innovation. -/- A balanced economic system ensures that competition remains fair, productive, and sustainable, while preventing monopolization and economic instability. -/- Flaws in Existing Leadership and Economic Structures -/- Despite progress, current leadership and economic systems suffer from fundamental flaws: -/- 1. Political Power Struggles -/- Most political systems, whether democratic or autocratic, prioritize power retention over societal welfare. Elections often become battles for control, rather than mechanisms for choosing the most competent leaders. -/- 2. Unregulated Capitalistic Competition -/- While capitalism has driven technological progress, it often lacks regulatory balance. This results in: -/- Monopolies and corporate lobbying, where a few corporations control entire industries. -/- Extreme wealth concentration, leading to systemic instability. -/- 3. The Absence of Scientific Decision-Making in Governance -/- Many governments and corporations make decisions based on short-term political gains or financial interests, rather than scientific principles. This leads to: -/- Environmental degradation due to profit-driven policies. -/- Social inequality, as wealth and resources are unfairly distributed. -/- These issues show that competition alone is not enough—it must be regulated by the universal law of balance to prevent systemic collapse. -/- The Solution: A Balanced Hierarchy of Leadership with Beneficial Competition -/- To eliminate power struggles while preserving beneficial competition, we need a hierarchy of leadership based on: -/- 1. Leadership Selection Based on Competence and Wisdom -/- Leaders should be chosen based on scientific merit and ethical competence, rather than political influence or wealth. -/- Education systems should train future leaders in the universal law of balance, systems thinking, and rational decision-making. -/- Leadership should act as a regulator of competition, ensuring fairness and progress. -/- 2. Decentralized Yet Coordinated Decision-Making -/- Power should be distributed across multiple levels, preventing centralized control while maintaining system-wide coordination. -/- A hierarchical feedback system should allow leaders to adjust decisions dynamically based on real-world conditions. -/- 3. AGI-Assisted Regulation of Leadership and Competition -/- AGI, programmed with the universal formula and a complete sensor system, can act as an impartial advisor, monitoring economic and political systems to detect imbalances before they escalate. -/- AI should not replace human leadership but should serve as a scientific tool for maintaining systemic balance. -/- 4. Economic Policies Aligned with Natural Law -/- Fair competition should be maintained, preventing monopolies while encouraging innovation. -/- Wealth gaps should be regulated, ensuring economic mobility without discouraging entrepreneurship. -/- Capitalistic competition should be structured to foster progress while preventing systemic failures. -/- How Beneficial Competition Fits Into the System -/- Instead of eliminating competition, a balanced leadership hierarchy ensures that competition is: -/- ✔ Fair – No monopolies or financial manipulation. ✔ Productive – Encourages innovation and efficiency. ✔ Sustainable – Prevents extreme inequalities and power struggles. ✔ Ethical – Decisions are guided by natural balance, not greed or short-term gains. -/- This model allows entrepreneurs, businesses, scientists, and innovators to compete in ways that drive human progress, while eliminating power struggles that lead to corruption, inequality, and societal collapse. -/- Conclusion: A Society Without Power Struggles, Driven by Beneficial Competition -/- Power struggles are not an unavoidable part of human nature; they arise from imbalances in leadership, economy, and governance. By implementing a balanced hierarchy of leadership, we can eliminate power struggles while preserving beneficial competition that fosters development. -/- A properly designed system ensures that: -/- Leaders act as regulators, not rulers, preventing power accumulation. -/- Competition is structured to be fair, productive, and sustainable. -/- AGI and scientific governance help detect and correct imbalances before they become crises. -/- The economy promotes innovation without allowing monopolization or exploitation. -/- With these principles in place, we can create a world where leadership ensures balance, competition drives progress, and power struggles become a thing of the past. -/- . (shrink)

RESUMO A inseminação artificial (IA) é a biotecnologia mais empregada com vantagens superiores em relação a utilização da monta natural, cuja eficácia se dá na larga escala de reprodução entre os bovinos. Associando essa biotécnica com hormônios pode-se estabelecer manipulações do sistema reprodutivo da fêmea, levando a manejos de inúmeras cabeças de gado para inseminar a um tempo fixo. Portanto, foram realizados 5 protocolos de IATF, tendo 2 categorias de animais: nulíparas e multíparas. No protocolo 1 foram submetidas 81 multíparas, (...) resultando em 47 animais prenhes; No protocolo 2 foram protocoladas 103 animais multíparas, no qual resultou em 51 prenhes; já o protocolo 5 foram submetidas 77 animais multíparas, no qual resultou em 36 animais prenhes. Cada serviço realizado foi matematicamente calculado, sendo o ponto de partida o escore corporal, bem estar animal e a técnica bem exercida. Desta forma obteve bons resultados na (IATF) , no qual destaca-se o percentual : o protocolo 1 obteve 58,02%, o protocolo 2 obteve 49,51% na taxa de prenhez, No protocolo 3 obteve 55,67% na taxa de prenhez, o protocolo 4 obteve 53,33% de prenhes, já o protocolo 5 resultou em 46,75% de prenhez. O uso das biotecnologias da reprodução, realizadas em bovinos de corte, obteve resultado dentro do descrito pela literatura consultada. A boa taxa de prenhes apresentada na IATF deveu-se ao bom controle hormonal do ciclo estral e da qualidade do sêmen utilizado. A taxa de prenhez dos animais que foram submetidos à monta natural foi baixa pelo fato de que os reprodutores não conseguiram cobrir todas as fêmeas. ABSTRACT The artificial insemination (AI) is the most used biotechnology with superior advantages in relation to the use of natural mounting, whose effectiveness is given in the large scale of reproduction among cattle. Associating this biotechnique with hormones it is possible to establish manipulations of the reproductive system of the female, leading to managements of numerous heads of cattle to inseminate at a fixed time. Therefore, 5 IATF protocols were performed, having 2 categories of animals: nulliparous and multiparous. In protocol 1, 81 multiparous animals were submitted, resulting in 47 pregnant animals; in protocol 2, 103 multiparous animals were submitted, resulting in 51 pregnancies; and in protocol 5, 77 multiparous animals were submitted, resulting in 36 pregnant animals. Each service performed was mathematically calculated, with the starting point being the body score, animal welfare and the well exercised technique. Thus obtained good results in the (IATF), which highlights the percentage: protocol 1 obtained 58.02%, protocol 2 obtained 49.51% in pregnancy rate, in protocol 3 obtained 55.67% in pregnancy rate, protocol 4 obtained 53.33% pregnant, and protocol 5 resulted in 46.75% pregnant. The use of the reproduction biotechnologies, performed in beef cattle, obtained results within the described by the consulted literature. The good pregnancy rate presented in the IATF was due to the good hormonal control of the estrous cycle and the quality of the semen used. The pregnancy rate of animals that were subjected to natural mating was low due to the fact that the sires could not cover all the females. Keywords: Hormones. Cattle Pregnancy Rate. Artificial Insemination in Cattle. Hormones in Cattle Reproduction. -/- REFERÊNCIAS BIBLIOGRÁFICAS AMBRÓSIO, P. H. et al. Ressincronização da ovulação em programas de IATF: novas estratégias. 2018. BARUSELLI, P. S.; GIMENES, L. U.; SALES, J. N. de S. Fisiologia reprodutiva de fêmeas taurinas e zebuínas. Revista Brasileira de Reprodução Animal, v. 31, n. 2, p. 205-211, 2007. BARUSELLI, P. S. et al. Evolução e perspectivas da inseminação artificial em bovinos. Revista Brasileira de Reprodução Animal, v. 43, n. 2, p. 308-314, 2019. BÓ, G. A. et al. Alternative programs for synchronizing and resynchronizing ovulation in beef cattle. Theriogenology, v. 86, n. 1, p. 388-396, 2016. BOTTINO, M. P. et al. Effects of eCG and FSH in timed artificial insemination treatment regimens on estrous expression and pregnancy rates in primiparous and multiparous Bos indicus cows. Animal Reproduction Science, v. 228, p. 106751, 2021. DA SILVA, Emanuel Isaque Cordeiro. Técnica da Inseminação Artificial em Bovinos: Manejo Passo a Passo. 2020. DA SILVA, Emanuel Isaque Cordeiro. Reprodução Animal: Inseminação Artificial. 2020. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia da Reprodução Animal: Ovulação, Controle e Sincronização do Cio. 2020. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia da Reprodução de Bovinos Leiteiros: Aspectos Básicos e Clínicos. Emanuel Isaque Cordeiro da Silva, 2022. KRAUS, Beth M.; PARENTE, Eric J.; TULLENERS, Eric P. Laryngoplasty with ventriculectomy or ventriculocordectomy in 104 draft horses (1992–2000). Veterinary Surgery, v. 32, n. 6, p. 530-538, 2003. MONGELLI, Melissa Sanches; TAVARES, Izabel Cristina; FERRANTE, Marcos. Evolução e premissas dos protocolos hormonais de inseminação artificial em tempo fixo na pecuária. Ciência Animal, v. 31, n. 1, p. 119-133, 2021. VILELA, G. C. Protocolos de IATF em novilhas precoce e super precoce. 2021. (shrink)

The Future of Humanity with the Full Implementation of the Universal Formula -/- Humanity has long grappled with fundamental questions about free will, decision-making, and the nature of societal progress. Over centuries, countless philosophical, scientific, and religious perspectives have sought to explain the forces driving human behavior and the challenges we face as a global society. The development of a universal formula that solves the problem of free will, grounded in natural laws like the law of balance and the law (...) of karma, presents a transformative opportunity for human civilization. If fully implemented, this universal formula has the potential to reshape humanity’s future, fostering a world marked by balance, sustainability, and reduced suffering. -/- 1. A Holistic Educational System for Critical Thinking -/- The first and most immediate change from the universal formula’s implementation would be seen in education. Current educational systems often prioritize rote memorization and narrow specializations, neglecting the foundational principles of natural law that govern human behavior. By introducing the universal law of balance and the principles of cause and effect (karma) into basic education, students would learn to view decision-making through the lens of natural, universal laws. -/- A holistic educational system, as envisioned by the formula, would emphasize critical thinking, systemic thinking, and the understanding of interdependence among individuals, societies, and the environment. This educational approach would equip future generations to make decisions that prioritize societal well-being, environmental sustainability, and global cooperation. As a result, the widespread ignorance and misinformation that often fuel societal conflict and poor decision-making would diminish. -/- 2. Ethical Leadership and Governance Based on Natural Laws -/- Leaders who understand and apply the universal formula’s principles would adopt a more balanced and ethical approach to governance. The formula asserts that decision-making processes, whether individual or collective, must align with natural laws to avoid imbalance and societal dysfunction. If implemented, policies across nations would shift from short-term gains toward long-term stability, fairness, and sustainability. -/- The law of karma, whichh highlights the necessity for defect-free systems, would guide governance structures to prioritize integrity, transparency, and accountability. Corruption, misinformation, and ideologically driven policies would decline as societies embrace natural laws as their guiding principles. With this shift, government policies on resource management, social welfare, and economic growth would aim for balance rather than unchecked expansion, minimizing societal inequalities and systemic failures. -/- 3. Global Cooperation and Environmental Sustainability -/- The universal law of balance stresses that human systems, like natural ecosystems, must remain in equilibrium to function properly. In an era of climate change, resource depletion, and geopolitical tensions, applying this law globally could unify countries in their efforts to address shared challenges. -/- Nations would move beyond competition and exploitation, understanding that the Earth’s resources are finite and that environmental degradation affects all societies. Policies on population control, economic growth, and environmental conservation would be guided by scientific data and natural principles, ensuring that human activity does not disrupt the delicate balance necessary for life’s continuity. The concept of continuous economic growth, currently dominant in global economics, would be replaced by a sustainable, balanced model that prioritizes ecological and societal well-being over profit. -/- 4. Technological Advancement Aligned with Human Well-Being -/- The development of artificial general intelligence (AGI) presents both opportunities and risks for humanity. If programmed with the universal formula, AGI could become a powerful tool for societal improvement. The law of balance would serve as a guiding framework for AGI, ensuring that its decisions promote human welfare, ethical practices, and environmental harmony. -/- For AGI to function effectively, as suggested by the formula, it must integrate a complete sensor system capable of perceiving and responding to the complexities of human and environmental feedback mechanisms. By doing so, AGI could assist in real-time governance, economic planning, and social development while minimizing the risks associated with unregulated AI development. -/- 5. Reduction of Human Suffering and Societal Conflicts -/- Human suffering, in many cases, stems from ignorance, misinformation, and decisions that disrupt natural balance. The universal formula posits that decisions violating natural laws—whether influenced by false beliefs, propaganda, or systemic defects—create internal and external imbalances that manifest as societal problems. -/- By embedding the principles of natural balance into education, governance, and societal structures, the formula offers a pathway to reduce suffering. Conflicts arising from ideological, religious, or political differences could diminish as people collectively recognize the universal principles governing human behavior. Religious beliefs, rather than being sources of division, would coexist harmoniously with scientific understanding, fostering mutual respect and shared values centered around balance and well-being. -/- 6. Balanced Population Growth and Resource Management -/- One of the most critical challenges facing humanity is the unchecked growth of populations and the overconsumption of resources. The universal formula emphasizes the need for societies to understand and respect the natural carrying capacities of their environments. -/- Policies promoting balanced population growth, informed by scientific research and natural laws, would help ensure resource availability for future generations. Societies would transition from pursuing limitless economic expansion to developing sustainable, self-regulating systems that maintain equilibrium with the natural world. -/- Conclusion: A New Era of Balanced, Sustainable Humanity -/- The full implementation of the universal formula to solve the problem of free will could herald a transformative era for humanity. Through a holistic educational system, ethical governance, environmental sustainability, responsible technological development, and a shared commitment to natural laws, societies could achieve unprecedented levels of harmony, stability, and well-being. -/- While the formula’s success would depend on global cooperation and genuine societal commitment, its principles—rooted in the natural laws governing decision-making—offer a clear, practical pathway to a more balanced and prosperous future. If embraced and applied worldwide, humanity could finally overcome many of its longstanding challenges and move toward a future defined by wisdom, balance, and sustainable progress. -/- . (shrink)

The Holistic Governance Model (HGM): A Blueprint for the Future -/- Introduction -/- Governments today face increasing challenges, from economic instability and climate change to corruption and social inequality. No single government system has fully solved these issues, but by integrating the best aspects of existing models, we can create an optimal governance system. -/- The Holistic Governance Model (HGM) is a hybrid system that combines elements from Social Democracy, Technocracy, Semi-Direct Democracy, China’s Whole-Process People’s Democracy, and the Modified Westminster (...) System. It leverages AI-driven policy-making, technocratic expertise, direct citizen participation, and long-term national planning to create a balanced, efficient, and just government system. -/- 1. Core Foundations of the Holistic Governance Model -/- The HGM is built on six fundamental pillars, ensuring that governance is efficient, democratic, and sustainable. -/- 1.1. Economic System: A Hybrid of Capitalism and State Planning -/- Inspired by: Singapore (Technocracy), China (State-Controlled Development), Nordic Model (Social Welfare), and Switzerland (Financial Stability) ✅ Key Industries Under State Control: The government regulates healthcare, energy, and transportation while allowing free-market innovation. ✅ Smart Capitalism: Entrepreneurs and businesses thrive, but AI-driven economic planning ensures fair wealth distribution. ✅ Universal Basic Assets (UBA): Instead of universal basic income (UBI), citizens receive free housing, education, and healthcare, ensuring financial security. ✅ AI-Assisted Economy: AI predicts recessions, optimizes budgets, and prevents financial crises. -/- 1.2. Political System: A Dynamic Semi-Direct Democracy -/- Inspired by: Switzerland (Direct Democracy), Westminster System (Parliament), and Singapore (Meritocratic Leadership) ✅ Two-Tier Voting System: -/- General Elections: Citizens vote for representatives every 4-5 years. -/- National Referendums: Citizens directly vote on major policies twice a year. ✅ Technocratic Advisory Board (TAB): A non-political panel of scientists, economists, and AI experts advises the government. ✅ Decentralized Local Governance: Cities and regions have autonomy while aligning with national laws. -/- 1.3. Education & Human Development: AI-Powered Lifelong Learning -/- Inspired by: Nordic Model (Free Education), Singapore (STEM Focus), and China (AI Integration) ✅ Free Public Education for Life: Every citizen has access to continuous learning, including college and skill retraining. ✅ AI-Based Personalized Learning: Students use AI tutors that adapt to their learning pace. ✅ Ethics & Critical Thinking Curriculum: Courses in philosophy, logic, and decision-making prevent misinformation and ignorance. -/- 1.4. Healthcare & Social Welfare: AI-Driven Preventive Medicine -/- Inspired by: Nordic Model (Universal Healthcare), Singapore (Tech-Driven Healthcare), and China (Mass Coverage) ✅ Government-Funded Universal Healthcare: Citizens receive free basic healthcare, with private options available. ✅ AI & Robotics in Medicine: AI diagnoses diseases early, reducing medical costs. ✅ Preventive Healthcare Policy: Citizens receive incentives for maintaining good health (fitness programs, nutrition plans). -/- 1.5. Environmental & Energy Policies: The Green Industrial Revolution -/- Inspired by: China (Renewable Energy Expansion), Nordic Model (Sustainability Laws), and Singapore (Urban Planning) ✅ Mandatory Green Technology Adoption: Businesses must comply with strict eco-friendly policies. ✅ Carbon Credit Economy: Citizens and companies earn rewards for reducing carbon footprints. ✅ 100% Renewable Energy by 2050: The government funds solar, wind, and AI-optimized energy grids. -/- 1.6. Law & Order: AI-Governed Justice & Anti-Corruption Measures -/- Inspired by: Switzerland (Independent Judiciary), Singapore (Strict Law Enforcement), and China (AI in Governance) ✅ AI-Assisted Judiciary: AI helps judges analyze case laws for fair, unbiased rulings. ✅ Zero-Corruption Policy: Public officials caught in corruption face lifetime bans from government service. ✅ Balanced Civil Rights & Security: -/- Freedom of Speech: Citizens can express opinions, but disinformation is regulated. -/- AI Surveillance for Security: AI prevents crime while protecting privacy. -/- 2. Government Structure of HGM -/- 2.1. Executive Branch: The President, Prime Minister, and Technocrats -/- President (Elected by Public Vote) → Oversees national policies and international relations. -/- Prime Minister (Elected by Parliament) → Manages daily governance. -/- Technocratic Economic Council → Expert-led economic planning. -/- AI-Assisted Policy Bureau → Uses AI for healthcare, infrastructure, and environmental policies. -/- 2.2. Legislative Branch: Semi-Direct Parliament -/- Lower House (Elected Officials) → Creates laws based on citizen participation. -/- Upper House (Experts & Regional Representatives) → Reviews laws for scientific and ethical validity. -/- Referendum System → Citizens directly vote on key national issues. -/- 2.3. Judicial Branch: AI-Assisted Supreme Court -/- Independent Court System → Ensures justice and constitutional balance. -/- AI Legal Analysis → AI helps judges analyze previous cases and evidence. -/- 3. Implementation Strategy: How to Apply HGM Worldwide -/- To implement HGM, a phased approach is needed: -/- Phase 1 (0-5 Years): Research & AI Integration -/- ✅ Establish an HGM Global Research Center to develop AI governance models. ✅ Pilot AI-assisted economic planning in select countries. -/- Phase 2 (5-10 Years): Education & Public Awareness -/- ✅ Introduce HGM-based education systems (critical thinking, AI governance). ✅ Encourage political reforms to adopt hybrid governance models. -/- Phase 3 (10-20 Years): Nationwide Policy Implementation -/- ✅ Countries gradually adopt the HGM framework, with AI monitoring national progress. ✅ Global partnerships for climate change action and digital economy growth. -/- Phase 4 (Beyond 20 Years): Global Standardization -/- ✅ Establish an HGM Alliance for international cooperation. ✅ Implement AI-driven global policies on poverty, sustainability, and digital rights. -/- 4. Why the HGM is the Future of Governance -/- The Holistic Governance Model (HGM) offers the most advanced, efficient, and democratic government system by combining AI governance, citizen participation, economic stability, and social equality. -/- Conclusion: A Government System for the 21st Century -/- The Holistic Governance Model (HGM) combines the best government systems into a single, optimized model. By implementing AI, technocracy, direct democracy, and long-term planning, HGM ensures: ✅ Efficient economic management ✅ Social equality without excessive taxation ✅ Democratic participation with AI-driven transparency ✅ Sustainable environmental policies ✅ Corruption-free governance -/- If adopted globally, HGM could transform human civilization into a more just, advanced, and sustainable society. -/- . (shrink)

The Unspoken Truth: A Lifetime of Work for Survival in an Overpopulated and Depopulating World -/- Introduction -/- From childhood, we are taught that education is the key to success. We spend roughly the first 20 years of our lives in school, preparing for an uncertain future. We are encouraged to dream big, pursue careers, and find our passions. However, what no one explicitly tells us is that these 20 years are merely preparation for 50 or more years of working—primarily (...) to earn money and survive. -/- Even more concerning is that while billions of people are trapped in this cycle, the world is facing two opposing population crises: rapid overpopulation in some regions and depopulation in others. Some countries continue to grow unsustainably, straining resources and increasing poverty, while others are shrinking due to low birth rates, creating economic instability. This imbalance leads to serious consequences for individuals, societies, and global economic systems. -/- Why is this truth hidden, and what impact does it have on both individuals and the planet? More importantly, what can be done to create a more sustainable and balanced future? -/- The Hidden Structure of Life’s Journey -/- From an early age, children are encouraged to study hard, get good grades, and secure stable jobs. The education system is designed to instill discipline and knowledge, but it also conditions individuals to follow a structured path that ultimately leads to employment. Society promotes the idea that education provides limitless opportunities, but in reality, most people end up in a cycle of working just to meet basic needs rather than achieving personal fulfillment. -/- The modern economic system is built around productivity and labor. For societies to function, there must be a workforce that sustains industries, businesses, and governments. While work is necessary for survival, it is often framed as a personal achievement rather than a requirement for economic survival. -/- At the same time, the global population is shifting in extreme ways. Some regions, particularly in Africa and South Asia, are experiencing rapid overpopulation, leading to food shortages, high unemployment, and environmental destruction. Meanwhile, countries in East Asia and Europe are experiencing depopulation, where low birth rates and aging populations threaten economic stability. These opposite trends create an unbalanced world, where some struggle with too many people and not enough resources, while others suffer from too few young workers to sustain their economies. -/- Why No One Talks About It -/- These realities—lifelong work, overpopulation, and depopulation—are rarely discussed because they challenge the way society is structured. If young people understood these crises earlier, they might begin to question the fairness of the system too soon. -/- Additionally, governments and businesses benefit from an ever-growing workforce in some regions and technological advancements to replace missing workers in others. Countries with overpopulation encourage growth to sustain their economies, while depopulating nations struggle to balance immigration and automation to replace their shrinking workforce. The truth remains hidden because acknowledging these problems would require rethinking the economic and social structures that rely on population growth. -/- The Crisis of Depopulation: Examples of Countries in Decline -/- While overpopulation is a major concern, some of the world’s most developed countries are experiencing the opposite problem: a declining population. -/- 1. Japan: A Nation of the Elderly -/- Birth Rate: 1.3 births per woman -/- Projected Population Decline: From 125 million today to below 100 million by 2050 -/- Key Issue: Aging population and shrinking workforce -/- Japan has one of the lowest birth rates in the world, leading to a rapidly aging society. The workforce is shrinking, social welfare costs are rising, and economic stagnation is a major concern. Even with immigration and automation, Japan faces economic instability due to a lack of young workers. -/- 2. South Korea: The Lowest Birth Rate in the World -/- Birth Rate: 0.7 births per woman -/- Projected Crisis: Population could be cut in half by 2100 -/- Key Issue: Work culture and high costs of living discourage childbirth -/- South Korea now has the world’s lowest birth rate, mainly due to long working hours, expensive housing, and lack of government support for families. The government has spent billions on policies to encourage childbirth, but the decline continues. With fewer young workers, South Korea could face an economic collapse in the coming decades. -/- 3. Italy: A Dying Population -/- Birth Rate: 1.2 births per woman -/- Projected Population Decline: From 60 million today to 47 million by 2070 -/- Key Issue: Job insecurity and aging workforce -/- Italy has one of Europe’s lowest birth rates. Many young Italians face unstable jobs and financial struggles, making it difficult to start families. Meanwhile, the government faces increasing pressure to support an aging population. -/- 4. Russia: Shrinking Despite Incentives -/- Birth Rate: 1.5 births per woman -/- Projected Population Decline: Losing 500,000 people per year -/- Key Issue: High mortality rates and declining workforce -/- Russia’s population has been declining since the collapse of the Soviet Union. Despite government incentives like financial rewards for having children, the population decline continues. A shrinking workforce threatens long-term economic growth and stability. -/- 5. China: The Aftermath of the One-Child Policy -/- Birth Rate: 1.2 births per woman -/- Projected Population Decline: Expected to fall from 1.4 billion to 800 million by 2100 -/- Key Issue: Fewer young workers to support economic growth -/- China’s one-child policy created a severe gender imbalance and an aging population. Even after relaxing the policy, birth rates remain low due to high education costs, urbanization, and economic uncertainty. This decline threatens China’s future workforce and global economic position. -/- Potential Solutions: Balancing Population and Economy -/- Addressing both overpopulation and depopulation requires different strategies depending on the region. -/- 1. Sustainable Family Planning in Overpopulated Countries -/- Governments should promote education, access to contraception, and economic support for families to control rapid population growth. -/- Countries like India and Nigeria need policies that focus on quality of life rather than population size. -/- 2. Work-Life Balance and Child Support in Depopulating Countries -/- Nations like South Korea and Italy need better childcare support, affordable housing, and flexible work policies to encourage family growth. -/- Reducing job insecurity and providing long-term financial incentives for parents can help slow population decline. -/- 3. Immigration as a Solution for Shrinking Populations -/- Countries experiencing depopulation could welcome skilled immigrants to replenish their workforce. -/- Nations like Canada and Germany have successfully used immigration to sustain their economies. -/- 4. Advancing Automation and Technology -/- AI and robotics can help replace missing workers in depopulating nations. -/- Countries like Japan are investing in robotic caregiving and automated industries to support an aging society. -/- Conclusion -/- The reality that the first 20 years of life are just preparation for 50 or more years of work is a truth that few openly discuss. Even more concerning is that while some parts of the world are overpopulating without considering sustainability, others are depopulating without a clear plan for the future. These trends create serious economic, environmental, and social challenges. -/- The challenge remains: how can we ensure that life is about more than just working to survive in a world of extreme population shifts? While systemic change is a long-term goal, personal awareness, intentional decision-making, and global cooperation can help create a more balanced and sustainable future. -/- . (shrink)

The Importance of Urban Planning and Strict Laws on Informal Settlements -/- Introduction -/- Urbanization is a global phenomenon, bringing both opportunities and challenges. Rapid population growth, especially in developing nations, has led to the rise of informal settlements or “squatter areas.” These settlements often lack proper infrastructure, sanitation, and legal recognition, creating social, economic, and environmental issues. Effective urban planning, combined with strict enforcement of land-use laws and inclusive housing policies, is essential to ensuring sustainable and livable cities. This (...) essay explores the importance of urban planning and strict laws against illegal settlements, using successful case studies from Singapore, Brazil, South Korea, the Philippines, and Ethiopia. -/- The Role of Urban Planning in Sustainable Cities -/- Urban planning is the process of designing and regulating the use of land to ensure the orderly development of cities. Proper urban planning provides essential services such as housing, transportation, sanitation, and green spaces, preventing the formation of illegal settlements. -/- Key Aspects of Effective Urban Planning -/- 1. Zoning Regulations – Defining areas for residential, commercial, and industrial use helps prevent uncontrolled development. -/- 2. Infrastructure Development – Roads, drainage, sewage systems, and utilities must be planned in advance to accommodate future growth. -/- 3. Disaster Risk Management – Cities must prevent settlements in flood-prone or hazardous areas to minimize risks to human life. -/- 4. Affordable Housing Programs – Governments should provide legal, affordable alternatives to illegal settlements. -/- Without proper urban planning, cities face overcrowding, pollution, poor sanitation, and increased crime rates. Case studies from different countries demonstrate the effectiveness of strong urban policies in addressing informal settlements. -/- Case Studies: Successful Urban Planning and Settlement Control -/- 1. Singapore: A Model for Integrated Public Housing -/- Singapore transformed from a city with severe housing shortages in the 1960s into one of the most well-planned urban environments in the world. The government’s Housing and Development Board (HDB) played a crucial role in developing affordable, high-quality public housing with integrated amenities such as schools, parks, and public transportation. -/- Key Strategies: ✔ Strict zoning laws prevented unregulated settlements. ✔ Homeownership was promoted through subsidized housing loans. ✔ Government-planned townships provided complete services. -/- Results: ✔ Over 80% of Singaporeans now live in well-planned public housing. ✔ Illegal settlements have been completely eliminated. -/- Singapore’s success demonstrates how strict land-use policies combined with affordable housing programs can prevent informal settlements. -/- 2. Brazil: Upgrading Informal Settlements Instead of Evictions -/- Rio de Janeiro faced a severe problem with favelas—informal settlements that grew due to rapid urban migration. Instead of mass evictions, the government launched the Favela-Bairro program (1994-2008), improving living conditions rather than displacing people. -/- Key Strategies: ✔ Infrastructure improvements (roads, sanitation, electricity). ✔ Community engagement ensured residents’ needs were met. ✔ Legal property rights were granted to residents. -/- Results: ✔ Over 250,000 residents benefited from improved housing conditions. ✔ Crime and poverty rates declined as favelas were integrated into the formal city. -/- Brazil’s approach shows that slum upgrading can be a viable alternative to forced eviction, improving both human welfare and urban order. -/- 3. South Korea: Urban Renewal in Seoul (Cheonggyecheon Project) -/- Seoul’s Cheonggyecheon River was once covered by illegal settlements and highways. The government removed the informal settlements, revitalizing the area into a public green space. -/- Key Strategies: ✔ Slum clearance and restoration of natural spaces. ✔ Improved public transport (bus rapid transit) reduced congestion. ✔ Business relocation incentives prevented economic disruption. -/- Results: ✔ 35% reduction in air pollution, making Seoul more livable. ✔ Increased property values and economic growth. -/- This case highlights how urban renewal projects can enhance sustainability, public health, and economic opportunities while addressing informal settlements. -/- 4. The Philippines: Housing and Resettlement Programs -/- Metro Manila faces a long-standing issue of informal settlers occupying flood-prone and government-owned areas. The Philippine government introduced various strategies, including in-city relocation, socialized housing, and land clearing operations. -/- Key Strategies: ✔ Balik Probinsya, Bagong Pag-asa (BP2) Program: Encouraged migration from overcrowded cities with financial aid. ✔ Vertical housing solutions: High-rise social housing projects maximized limited land. ✔ Land clearing operations: Removed settlements from hazardous areas. -/- Results: ✔ Some success in decongesting Metro Manila, but rapid urban migration remains a challenge. ✔ Affordable housing remains a priority for sustainable urban development. -/- The Philippines’ experience shows that a combination of enforcement and social programs is necessary to manage informal settlements effectively. -/- 5. Ethiopia: Large-Scale Public Housing (Addis Ababa’s Condominium Program) -/- Ethiopia faced a housing crisis, with 70% of Addis Ababa’s population living in informal settlements. The government launched a large-scale condominium housing program to address the issue. -/- Key Strategies: ✔ Government-built high-rise condominiums replaced slums. ✔ Low-interest loans made homeownership possible for low-income families. ✔ Priority was given to families displaced by urban renewal projects. -/- Results: ✔ Significant reduction in slums as many moved into formal housing. ✔ Homeownership increased, improving living conditions. -/- Ethiopia’s approach highlights how government-led mass housing projects can transform urban development. -/- Lessons from Successful Urban Planning -/- 1. Strict Land-Use Laws Prevent Slums from Forming ✔ Clearly defining residential, commercial, and public spaces prevents illegal occupation. -/- 2. Affordable Housing is Essential ✔ Governments must provide low-cost housing as a legal alternative to informal settlements. -/- 3. Upgrading Slums Can Be More Effective Than Evictions ✔ Programs like Favela-Bairro (Brazil) and Ethiopia’s condominium projects show that improving existing settlements works better than forced displacement. -/- 4. Technology Can Help Monitor and Prevent Illegal Settlements ✔ GIS mapping and AI tracking can detect unauthorized land occupation. ✔ E-governance systems can simplify property registration and land-use approvals. -/- 5. Community Engagement is Critical ✔ Urban planning must involve local residents to ensure sustainability and social acceptance. -/- 6. Economic and Livelihood Programs Reduce Informal Settlements ✔ Job creation, microfinance, and small business support help low-income families transition into formal housing. -/- Conclusion -/- Urban planning and strict laws against informal settlements are crucial for creating sustainable, safe, and prosperous cities. Case studies from Singapore, Brazil, South Korea, the Philippines, and Ethiopia demonstrate that a balanced approach—combining strict enforcement, affordable housing, and community-driven solutions—leads to long-term success. Governments worldwide must prioritize sustainable housing, infrastructure development, and urban regulations to ensure that growing populations are accommodated in a way that promotes both human dignity and urban order. -/- By learning from successful models and implementing proactive urban policies, cities can prevent slums, improve living conditions, and build a more sustainable future for all. -/- . (shrink)

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

Comprehensive Plan for Population Growth Control & Senior Citizen Social Safety Net in the Philippines -/- To ensure sustainable population growth while also supporting senior citizens who have no children or lack financial support, the government must integrate social safety net laws for both family planning and elderly welfare. -/- I. Population Growth Control Through Social Safety Net Laws -/- 1. TAX REFORMS TO INCENTIVIZE SMALLER FAMILIES -/- A. Incentives for Small Families -/- Higher tax deductions for families with (...) one or two children. -/- Gradual removal of tax benefits for families with more than two children. -/- Corporate tax incentives for businesses that provide family planning services. -/- B. Tax Penalties for Large Families -/- Higher progressive taxation on families with three or more children. -/- Luxury taxes on housing, vehicles, and government subsidies for large families. -/- 2. EDUCATION REFORMS FOR RESPONSIBLE FAMILY PLANNING -/- A. Strengthening Sex Education (Comprehensive Sexuality Education – CSE) -/- Mandatory inclusion in the school curriculum from Grade 5 onward. -/- Covers reproductive health, contraception, financial responsibility, and gender equality. -/- B. Scholarships & Financial Aid for Small Families -/- Additional educational subsidies for children from families with one or two kids. -/- Gradual reduction of education subsidies for larger families. -/- 3. EMPLOYMENT & SOCIAL WELFARE REFORMS -/- A. Job Incentives for Women & Working Parents -/- Work-from-home incentives and subsidized childcare for working mothers. -/- Paid maternity leave benefits tied to small family sizes. -/- B. Adjustments to 4Ps Social Welfare Program -/- Full cash benefits limited to the first two children. -/- Mandatory family planning education to continue receiving benefits. -/- 4. AI & BIG DATA FOR POPULATION PLANNING -/- AI-driven demographic tracking to adjust tax policies, social benefits, and economic incentives. -/- Predictive modeling for workforce planning to prevent future labor shortages. -/- 5. URBAN & RURAL DEVELOPMENT STRATEGIES -/- Housing and urban planning incentives for small families. -/- Smart city initiatives to balance population density. -/- II. Social Safety Net for Senior Citizens Without Children or Financial Support -/- 1. Universal Pension & Financial Support Programs -/- A. Strengthening the SSS and GSIS Pension System -/- Mandatory government contributions for all workers, regardless of employment sector. -/- Higher pension benefits for seniors without children or financial support. -/- B. New “Guaranteed Minimum Pension” Program -/- Senior citizens without private savings receive a baseline pension from the government. -/- Indexed to inflation to ensure financial security in old age. -/- 2. Housing & Living Assistance for Seniors Without Family Support -/- A. Senior Citizen Cooperative Housing Program -/- Government-subsidized shared housing facilities for elderly individuals without family support. -/- Community-based senior housing with healthcare and caregiving services. -/- B. Expansion of Public Nursing Homes -/- New state-run assisted living facilities in every province. -/- Affordable senior apartments with subsidized utilities and food programs. -/- 3. Healthcare & Insurance for Elderly Without Family Support -/- A. Expansion of PhilHealth & Free Healthcare Services -/- Automatic PhilHealth coverage for all seniors with no child support. -/- Higher government healthcare subsidies for single and childless seniors. -/- B. Free Home-Based Healthcare -/- Barangay-level healthcare workers assigned to provide free home visits for elderly citizens. -/- Mobile clinics and telemedicine for those in remote areas. -/- 4. Employment & Social Engagement for the Elderly -/- A. Senior Employment & Livelihood Programs -/- Tax incentives for companies hiring seniors (part-time or consultancy roles). -/- Government-backed microfinance loans for seniors starting small businesses. -/- B. “Adopt-a-Senior” Community Program -/- Encourage local communities to support senior citizens without family assistance. -/- Volunteer-based programs where younger individuals help care for seniors. -/- III. Implementation Challenges & Solutions -/- A. Overcoming Religious & Cultural Barriers -/- Frame policies as “family economic security programs” rather than population control. -/- Community-based awareness campaigns to promote responsible parenthood. -/- B. Ensuring Fair Implementation in Rural Areas -/- Deploy mobile healthcare teams to reach isolated seniors and educate rural families. -/- Offer financial rewards for barangays with successful family planning programs. -/- C. Balancing Population Growth & Workforce Needs -/- Encourage skilled migration to prevent future labor shortages. -/- Promote education and automation to compensate for a smaller workforce. -/- Final Recommendations -/- Integrate population planning into the national economic strategy. -/- Create a “National Senior Citizen Welfare Act” ensuring financial security for the elderly. -/- Strengthen AI-driven demographic management to balance population growth. -/- . (shrink)

The Illusion of the Pension Crisis in a Fiat Currency System -/- Introduction -/- Governments and financial institutions frequently warn of a looming pension crisis, claiming that aging populations will drain social security funds and leave future retirees without financial support. However, this narrative is fundamentally flawed. In a fiat currency system, where central banks can print money at will, the idea that there is a shortage of funds for pensions contradicts the basic mechanics of modern finance. Instead, the so-called (...) pension problem serves as a strategic tool to justify population growth, extend working years, and maintain economic control. This essay explores how the pension crisis is manufactured, why the economic system functions this way, and what alternatives could create a more sustainable future. -/- The Fiat Currency Illusion -/- Fiat money is not backed by a physical commodity like gold but instead derives its value from government decree and public trust. Central banks, such as the U.S. Federal Reserve or the European Central Bank, have the power to create unlimited money through digital printing. If governments truly wanted to fund pensions, they could simply issue more currency. The fact that they choose not to highlights that the real issue is not about money but about power, wealth distribution, and economic control. -/- However, printing excessive money can lead to inflation, which erodes purchasing power. If pensions were funded through unrestricted money printing, prices of goods and services would rise, making pensions effectively worthless. But inflation is not an unavoidable consequence—it is often a policy decision influenced by central banks and financial elites to preserve existing economic hierarchies. -/- The Manufactured Pension ‘Crisis -/- The claim that pension systems are unsustainable is rooted in economic and political agendas rather than financial reality. The following key factors reveal why this crisis is artificially constructed: -/- 1. Inflation and Devaluation -/- While governments can print unlimited money, excessive monetary expansion can reduce the value of currency. Instead of managing inflation in a way that supports pensions, policymakers often use it to justify cuts to social programs while maintaining corporate wealth and military budgets. -/- 2. Wealth Protection for the Elite -/- The financial system is designed to benefit the wealthiest individuals and corporations. Rather than directing resources toward pensions, governments prioritize corporate bailouts, financial markets, and debt repayment. By claiming pension funds are running out, they avoid policies that redistribute wealth to the working class. -/- 3. Debt-Driven Economic Model -/- Instead of simply issuing currency for pensions, governments prefer to borrow money, ensuring central banks and private lenders remain in control. This debt-based system forces economies to keep growing, making workers dependent on employment and discouraging early retirement. -/- 4. Manipulating the Workforce Through Scarcity -/- The fear of pension collapse forces people to work longer, delaying retirement and keeping the labor force full. This benefits corporations by ensuring a steady supply of low-cost labor, preventing worker shortages, and keeping wages down. -/- 5. Stock Market and Private Pension Funds -/- Many pension funds are invested in the stock market, making their stability dependent on financial speculation rather than real economic productivity. If governments funded pensions directly, there would be less reliance on volatile financial markets, reducing Wall Street’s control over retirement savings. -/- 6. Control Through Artificial Shortages -/- By creating the illusion of limited pension funds, governments encourage population growth to “replace” aging workers. However, this ignores the real issue—technological automation and AI are reducing the need for human labor, making more workers unnecessary in the long run. -/- The Contradiction: Population Growth vs. Economic Reality -/- Governments argue that a growing population is needed to sustain pension systems. However, creating jobs and starting businesses is becoming more difficult due to several factors: -/- Automation and AI – Many traditional jobs are disappearing as machines and software replace human labor. -/- Market Saturation – Many industries are already flooded with products and services, making new business opportunities harder to find. -/- High Cost of Business Entry – Large corporations dominate markets, making it difficult for small businesses to compete. -/- Regulatory Barriers – Governments impose taxes, licenses, and bureaucracy that make entrepreneurship expensive and complicated. -/- This contradiction exposes a fundamental flaw in the capitalist model: pushing for population growth while failing to create enough sustainable jobs and businesses. -/- Sustainable Alternatives to the Pension System -/- Instead of relying on the outdated idea that pensions must be funded by an ever-growing workforce, societies can adopt new models that ensure financial security without economic manipulation: -/- 1. Universal Basic Income (UBI) -/- Governments could provide a fixed income to all citizens, eliminating the need for complex pension systems and reducing dependence on wage labor. This could be funded through controlled money creation and taxation of high-wealth individuals and corporations. -/- 2. Resource-Based Economy -/- Shifting from a money-driven system to a resource-based economy would prioritize efficient use of materials, automation, and sustainable development instead of profit-driven overproduction. -/- 3. Circular Economy -/- Instead of producing unnecessary products to create jobs, societies could focus on recycling, repair, and sustainability, creating long-term employment in industries that benefit humanity and the planet. -/- 4. Wealth Redistribution Policies -/- Implementing fair taxation on extreme wealth, financial transactions, and corporate profits would allow governments to fund pensions without economic instability. -/- Conclusion -/- The so-called pension crisis is not a natural consequence of aging populations but a deliberate economic strategy designed to maintain corporate power, suppress wages, and justify endless economic expansion. In a fiat currency system, governments have the power to fund pensions without relying on unsustainable population growth or debt-driven economies. However, they choose not to, prioritizing elite financial interests over public welfare. Instead of accepting this flawed model, societies should explore alternatives like universal basic income, sustainable economies, and fair wealth distribution to ensure a future where financial security is not dependent on artificial economic scarcity. -/- . (shrink)

A properly programmed artificially intelligent agent may eventually have one duty, the duty to satisfice expected welfare. We explain this claim and defend it against objections.

The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics (...) domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry. The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB. Background Saliva (oral fluid) is an emerging biofluid for non-invasive diagnostics used in the detection of human diseases. The need to advance saliva research is strongly emphasized by the National Institute of Dental and Craniofacial Research (NIDCR), and is included in the NIDCR's 2004- 2009 expert panel long-term research agenda [1]. The ability to monitor health status, disease onset, progression, recurrence and treatment outcome through noninvasive means is highly important to advancing health care management. Saliva is a perfect medium to be explored for personalized individual medicine including diagnostics, offering a non-invasive, easy to obtain means for detecting and monitoring diseases. Saliva testing potentially allows the patient to collect their own saliva samples at home, yielding convenience for the patient and savings in health costs, and facilitating multiple sampling. Specimen collection is less objectionable to patients and easier in children and elderly individuals. Due to these advantages. (shrink)

We describe the rationale for an application ontology covering the domain of human body fluids that is designed to facilitate representation, reuse, sharing and integration of diagnostic, physiological, and biochemical data, We briefly review the Blood Ontology (BLO), Saliva Ontology (SALO) and Kidney and Urinary Pathway Ontology (KUPO) initiatives. We discuss the methods employed in each, and address the project of using them as starting point for a unified body fluids ontology resource. We conclude with a description of how the (...) body fluids ontology initiative may provide support to basic and translational science. (shrink)

There is a need recognized by the National Institute of Dental & Craniofacial Research and the National Cancer Institute to advance basic, translational and clinical saliva research. The goal of the Salivaomics Knowledge Base (SKB) is to create a data management system and web resource constructed to support human salivaomics research. To maximize the utility of the SKB for retrieval, integration and analysis of data, we have developed the Saliva Ontology and SDxMart. This article reviews the informatics advances in saliva (...) diagnostics made possible by the Saliva Ontology and SDxMart. (shrink)

On 24th February 2025, Justin Mike (United States) wrote a review for Wild Wise Weird as follows: “Wild Wise Weird celebrates the wild spirit, the wisdom gained from unusual experiences, and the eccentric qualities that define us as individuals, thereby capturing the beauty of embracing authenticity. It serves as a reminder that being unique is something to be proud of, not just acceptable.” The review made me feel really relevant to the content of the book. I was curious what AI (...) would think of Mike’s review, so I asked Gemini “what do you think of the review?”. (shrink)

ĐỀ CƯƠNG HỌC PHẦN VĂN HÓA KINH DOANH 1. Tên học phần: VĂN HÓA KINH DOANH (BUSINESS CULTURE) 2. Mã học phần: BMGM1221 3. Số tín chỉ: 2 (24,6) (để học được học phần này, người học phải dành ít nhất 60 giờ chuẩn bị cá nhân).

Hiện nay, chế độ sở hữu ở Việt Nam đã có những đổi mới cơ bản, nhưng vẫn còn những khác biệt rất lớn so với chế độ sở hữu ở các nền kinh tế thị trường hiện đại. Trong cơ cấu của chế độ sở hữu ở Việt Nam, tỷ trọng của sở hữu nhà nước còn quá lớn; kinh tế nhà nước giữ vai trò chủ đạo… Chính những khác biệt này đã làm cho nền kinh tế thị (...) trường Việt Nam bị méo mó và giảm lợi thế cạnh tranh quốc gia. Do vậy, công cuộc đổi mới và hoàn thiện chế độ sở hữu ở Việt Nam phải hướng tới việc khắc phục những hạn chế trên và đạt tới sức cạnh tranh ngang hàng với các nền kinh tế thị trường hiện đại khác. (shrink)

This article proposes a unified solution to the mind-body problem, grounded in the philosophical framework of Ethical Empirical Rationalism. By presenting a mathematical model of the mind-body interaction, we oƯer a dynamic feedback loop that resolves the traditional dualistic separation between mind and body. At the core of our model is the concept of essence—an eternal, metaphysical truth that sustains both the mind and body. Through coupled diƯerential equations, we demonstrate how the mind and body are two expressions of the (...) same essence, interacting in a continuous and harmonious relationship. This approach provides a new perspective on the mind-body relationship, grounded in both empirical evidence and metaphysical insight. Keywords: Mind-body problem, Unmoved Mover, Essence, Unified Theory, Feedback Loop, Ethical Empirical Rationalism, Mathematical Modeling. (shrink)

Tại Việt Nam và trong lĩnh vực giáo dục nói riêng, ChatGPT ngày càng được chấp nhận và sử dụng rộng rãi trong rất nhiều hoạt động học tập. Chính vì thế, nghiên cứu này nhằm đánh giá mức độ phổ biến của ChatGPT đối sinh viên tại Hà Nội, đồng thời xem xét sự khác biệt giữa các đặc điểm cá nhân trong việc cải thiện kết quả học tập sau khi sử dụng ChatGPT. Nghiên cứu được thực hiện (...) bằng phương pháp định lượng với dữ liệu thu thập từ 401 sinh viên tại Hà Nội. Từ kết quả nghiên cứu, có 389 sinh viên (chiếm 97,01%) biết và sử dụng ChatGPT trong các hoạt động học tập của mình. Ngoài ra, sinh viên năm nhất, năm hai, năm ba, năm tư sau khi sử dụng ChatGPT có cải thiện trong hoạt động học tập khác nhau, tuy nhiên yếu tố giới tính lại không có ảnh hưởng. Trên cơ sở kết quả nghiên cứu, nhóm tác giả đưa ra một số nguyên nhân và đề xuất giúp ChatGPT được ứng dụng rộng rãi hơn nữa tại các trường đại học. (shrink)

Despite the importance of human blood to clinical practice and research, hematology and blood transfusion data remain scattered throughout a range of disparate sources. This lack of systematization concerning the use and definition of terms poses problems for physicians and biomedical professionals. We are introducing here the Blood Ontology, an ongoing initiative designed to serve as a controlled vocabulary for use in organizing information about blood. The paper describes the scope of the Blood Ontology, its stage of development and some (...) of its anticipated uses. (shrink)

(Mặt trận) - Chế độ sở hữu trong nền kinh tế thị trường định hướng xã hội chủ nghĩa Việt Nam trước hết phải tuân theo các nguyên tắc của nền kinh tế thị trường hiện đại. Trong các nguyên tắc của nền kinh tế thị trường hiện đại, nguyên tắc sở hữu tư nhân là nền tảng của nền kinh tế thị trường - là nguyên tắc quan trọng. Xa rời nguyên tắc này, dù chúng ta cố gắng xây (...) dựng nền kinh tế thị trường thì đó vẫn là một nền kinh tế thị trường khó được quốc tế công nhận. Sở hữu tư nhân hiện đại là chế độ sở hữu được cổ phần hóa, được xã hội hóa rất cao, công khai, minh bạch trên các thị trường chứng khoán. Tính xã hội cao của chế độ cổ phần hóa đã được C.Mác đánh giá, xem như là chế độ sở hữu quá độ sang hình thái kinh tế - xã hội mới. (shrink)

Xây dựng nền kinh tế xanh tiến đến mục tiêu phát triển bền vững đang từng bước trở thành xu thế của thời đại và là xu hướng ngày càng rõ nét trên toàn cầu. Hành vi xanh của doanh nghiệp có vốn đầu tư trực tiếp nước ngoài (doanh nghiệp FDI) có mối quan hệ chặt chẽ và tác động tích cực đáng kể đến sự phát triển bền vững của địa phương/quốc gia, bao gồm cả các nước phát (...) triển và đang phát triển, trong đó có Việt Nam. Bài viết tập trung phân tích những tác động của các doanh nghiệp FDI đến phát triển bền vững của Việt Nam thông qua các hành vi xanh, cụ thể là các hành vi đầu tư gắn với phát triển bền vững của quốc gia, từ đó đề xuất các nhóm giải pháp thúc đẩy hành vi xanh của doanh nghiệp FDI tại Việt Nam. (shrink)

Nghiên cứu này được thực hiện với mục tiêu đo lường mức độ hữu hiệu của hệ thống kiểm soát nội bộ tại Công ty Cổ phần Kết cấu thép GSB thông qua các yếu tố cấu thành gồm: Môi trường kiểm soát; Đánh giá rủi ro; Hoạt động kiểm soát; Thông tin và truyền thông và Giám sát. Kết quả nghiên cứu cho thấy yếu tố Giám sát có mức độ ảnh hưởng mạnh nhất đến sự hữu hiệu của (...) hệ thống kiểm soát nội bộ. Trên cơ sở đó, nghiên cứu đưa ra các hàm ý quản trị dựa trên kết quả phân tích hồi quy, góp phần nâng cao chất lượng hệ thống kiểm soát nội bộ tại đơn vị. (shrink)

We apply Ken Wilber's Integral Theory to AI governance, demonstrating its ability to systematize diverse approaches in the current multifaceted AI governance landscape. By analyzing ethical considerations, technological standards, cultural narratives, and regulatory frameworks through Integral Theory's four quadrants, we offer a comprehensive perspective on governance needs. This approach aligns AI governance with human values, psychological well-being, cultural norms, and robust regulatory standards. Integral Theory’s emphasis on interconnected individual and collective experiences addresses the deeper aspects of AI-related issues. Additionally, we (...) propose using Integral Theory as a methodology for literature reviews to overcome the fragmented understanding often seen in traditional reviews of AI governance. (shrink)

Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial (...) intelligence encouraged by these successes, especially in the domain of language processing. We then show an alternative approach to language-centric AI, in which we identify a role for philosophy. (shrink)

I discuss an influential argument put forward by Hatherley in theJournal of Medical Ethics. Drawing on influential philosophical accounts of interpersonal trust, Hatherley claims that medical artificial intelligence is capable of being reliable, but not trustworthy. Furthermore, Hatherley argues that trust generates moral obligations on behalf of the trustee. For instance, when a patient trusts a clinician, it generates certain moral obligations on behalf of the clinician for her to do what she is entrusted to do. I make three objections (...) to Hatherley’s claims: (1) At least one philosophical account of interagent trust implies that medical AI is capable of being trustworthy. (2) Even if this account should ultimately be rejected, it does not matter much because what we care mostly about is that medical AI is reliable. (3) It is false that trust in itself generates moral obligations on behalf of the trustee. (shrink)

AI systems, like self-driving cars, healthcare robots, or Autonomous Weapon Systems, already play an increasingly important role in our lives and will do so to an even greater extent in the near future. This raises a fundamental philosophical question: who is morally responsible when such systems cause unjustified harm? In the paper, we argue for the admittedly surprising claim that some of these systems can themselves be morally responsible for their conduct in an important and everyday sense of the term—the (...) attributability sense. More specifically, relying on work by Nomy Arpaly and Timothy Schroeder (In Praise of Desire, OUP 2014), we propose that the behavior of these systems can manifest their ‘quality of will’ and thus be regarded as something they can be blameworthy for. We develop this position in detail, justify some of its crucial presuppositions, and defend it against potential objections. (shrink)

Generative AI technologies have the potential to be socially and politically transformative. In this paper, we focus on exploring the potential impacts that Generative AI could have on the functioning of our democracies and the nature of citizenship. We do so by drawing on accounts of deliberative democracy and the deliberative virtues associated with it, as well as the reciprocal impacts that social media and Generative AI will have on each other and the broader information landscape. Drawing on this background (...) theory, we outline some of the key positive and negative impacts that Generative AI is likely to have on democratic citizenship. The political significance of these impacts suggests the need for further regulation. (shrink)

Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI (...) image generation is a kind of theft. This paper analyzes, substantiates, and critiques these arguments, concluding that AI image generators involve an unethical kind of labour theft. If correct, many other AI applications also rely upon theft. (shrink)

Since the release of OpenAI's ChatGPT, the world has entered a race to develop more capable and powerful AI, including artificial general intelligence (AGI). The development is constrained by the dependency of AI on the model, quality, and quantity of training data, making the AI training process highly costly in terms of resources and environmental consequences. Thus, improving the effectiveness and efficiency of the AI training process is essential, especially when the Earth is approaching the climate tipping points and planetary (...) boundaries. It is evident that AI can function better when trained to mimic certain human mental processes. Based on insights from quantum mechanics and the informational entropy-based notion of value, we suggest AI developers can enhance the AI training processes' effectiveness and efficiency by creating and implementing parameter systems that are capable of effectively assigning probabilities to informational quanta. Such systems can help reduce entropy within the system, which lowers the energy required for data storage and processing while decreasing the likelihood of information loss during training. Successfully applying the concept of information entropy-based value in AI development will be crucial for advancing generative AI and achieving AGI in a sustainable manner. (shrink)

Abstract: Artificial Intelligence (AI) is revolutionizing organizational dynamics by reshaping both structures and processes. This paper explores how AI-driven innovations are transforming organizational frameworks, from hierarchical adjustments to decentralized decision-making models. It examines the impact of AI on various processes, including workflow automation, data analysis, and enhanced decision support systems. Through case studies and empirical research, the paper highlights the benefits of AI in improving efficiency, driving innovation, and fostering agility within organizations. Additionally, it addresses the challenges associated with AI (...) integration, such as resistance to change, ethical concerns, and data security issues. The paper concludes by offering insights into future trends and implications for organizations navigating the evolving landscape of AI-driven change. (shrink)

The increasing demand for transparency in AI has recently come under scrutiny. The question is often posted in terms of “epistemic double standards”, and whether the standards for transparency in AI ought to be higher than, or equivalent to, our standards for ordinary human reasoners. I agree that the push for increased transparency in AI deserves closer examination, and that comparing these standards to our standards of transparency for other opaque systems is an appropriate starting point. I suggest that a (...) more fruitful exploration of this question will involve a different comparison class. We routinely treat judgments made by highly trained experts in specialized fields as fair or well-grounded even though—by the nature of expert/layperson division of epistemic labor—an expert will not be able to provide an explanation of the reasoning behind these judgments that makes sense to most other people. Regardless, laypeople are thought to be acting reasonably—and ethically—in deferring to the judgments of experts that concern their areas of specialization. I suggest that we reframe our question regarding the appropriate standards of transparency in AI as one that asks when, why, and to what degree it would be ethical to accept opacity in AI. I argue that our epistemic relation to certain opaque AI technology may be relevantly similar to the layperson’s epistemic relation to the expert in certain respects, such that the successful expert/layperson division of epistemic labor can serve as a blueprint for the ethical use of opaque AI. (shrink)

This paper explores the development of an ethical guardrail framework for AI systems, emphasizing the importance of customizable guardrails that align with diverse user values and underlying ethics. We address the challenges of AI ethics by proposing a structure that integrates rules, policies, and AI assistants to ensure responsible AI behavior, while comparing the proposed framework to the existing state-of-the-art guardrails. By focusing on practical mechanisms for implementing ethical standards, we aim to enhance transparency, user autonomy, and continuous improvement in (...) AI systems. Our approach accommodates ethical pluralism, offering a flexible and adaptable solution for the evolving landscape of AI governance. The paper concludes with strategies for resolving conflicts between ethical directives, underscoring the present and future need for robust, nuanced and context-aware AI systems. (shrink)

Ever since the Harsanyi-Sen debate, it is controversial whether someone's welfare should be measured by her von-Neumann-Morgenstern (VNM) utility, for instance when analysing welfare intensity, social welfare, interpersonal welfare comparisons, or welfare inequality. We prove that natural working hypotheses lead to a different welfare measure. It addresses familiar concerns about VNM utility, by faithfully capturing non-ordinal welfare features such as welfare intensity, despite resting on purely ordinal evidence such as revealed preferences or (...) self-reported welfare comparisons. Using this welfare measure instead of VNM utility alters social welfare analysis -- for instance, Harsanyi's `utilitarian theorem' now effectively supports prioritarianism. VNM utility is shown to be a hybrid object, determined by an interplay of two factors: welfare and attitude to intrinsic risk, i.e., to risk in welfare rather than outcomes. (shrink)

A morally acceptable course of AI development should avoid two dangers: creating unaligned AI systems that pose a threat to humanity and mistreating AI systems that merit moral consideration in their own right. This paper argues these two dangers interact and that if we create AI systems that merit moral consideration, simultaneously avoiding both of these dangers would be extremely challenging. While our argument is straightforward and supported by a wide range of pretheoretical moral judgments, it has far-reaching moral implications (...) for AI development. Although the most obvious way to avoid the tension between alignment and ethical treatment would be to avoid creating AI systems that merit moral consideration, this option may be unrealistic and is perhaps fleeting. So, we conclude by offering some suggestions for other ways of mitigating mistreatment risks associated with alignment. (shrink)