This mini-monograph supplements the author’s “Beyond Competence,” which is also posted on this site. The latter asks how training is accomplished. But training success is ultimately judged by one’s success at the trained-for tasks. This leads to asking: “What makes people succeed at their tasks?” If this could be known, then preparation could be more effective. Such influences as training, talent, chance, and discipline are considered. Yet, for goals requiring creativity, decision making, or moral judgment, we find that (...) training alone cannot ensure success. In its elaboration on the issues for success, the discussion expands on the Thought Experiment, begun in “Beyond Competence,” based on Bernard Suits’ analyses of playing games. (shrink)

The market capitalization of an enterprise is one of the key indicators characterizing the degree of influence of financial and non-financial instruments on its volumes and dynamics. Establishing the relationship between such instruments and metrics of equity and cash flows best delineates the plane of their direct impact on stimulating market capitalization. This is aimed at ensuring the implementation of effective management measures in the context of optimizing the use of equity and cash flows. The aim of the study was (...) to establish how the influence of indicators of financial and non-financial instruments on equity and cash flows forms a relevant basis for making management decisions to increase enterprise market capitalization. During the research, the following methods were used: summarization and grouping, multiple linear regression, direct ranking method, establishment of cause-and-effect relationships, logical generalization, and analytical method. As a result of the study, the toolkit for increasing the market capitalization of the enterprise from the standpoint of its grouping in terms of financial and non-financial plane was clarified. It was found that among the 36 analyzed indicators of the impact on equity and cash flows of the studied machine-building enterprises in Ukraine during the period 2010-2021, the most significant are bank lending, investment and technical metals, research and development costs, foreign scientific and technical services received, production investments, work-in-progress, and accounts payable for products, goods, and services. The results were transformed into a model of ranked instruments for stimulating the market capitalization of machine-building enterprises, which demonstrates the degree and directions of the influence of indicators of financial and non-financial instruments on the dynamics of equity and cash flows, which ensures the formation of an information database for making decisions on the further use of such instruments. The structuring of the toolkit serves as the basis for forming a system of management decisions containing practical recommendations within each group of instruments aimed at optimizing market capitalization through increased equity and cash flows of the enterprise. The obtained results will be beneficial to financial analysts of enterprises in preparing databases for making financial and non-financial decisions. (shrink)

In response to rapid technological changes in our society, there are calls by governments and industry for increased training of the workforce. But training alone is not sufficient to ensure success, even if talent, discipline and good fortune are all amply provided. When “training” goals require creativity, or decision making, or moral judgment, then adequate preparation must also include “education” in John Dewey’s sense—that is, imparting abilities to solve new problems and grasp novel meanings. Concluding this small monograph (...) is a proposed research agenda, which includes exploring the crucial role of “intuition” and related processes in abilities to generate hypotheses and solve problems. In its elaboration on the nature and limits of training, compared to education, the discussion includes a Thought Experiment, based on Bernard Suits’ exploration of rules and success in playing games. (shrink)

Visual analytics (VA) combines the strengths of human and machine intelligence to enable the discovery of interesting patterns in challenging datasets. Historically, most attention has been given to developing the machine component—for example, machine learning or the human-computer interface. However, it is also essential to develop the abilities of the analysts themselves, especially at the beginning of their careers. -/- For the past several years, we at the University of British Columbia (UBC)—with the support of The Boeing Company—have experimented with (...) various ways of preparing undergraduate students for VA. Although inspired by the need to prepare students to become visual analysts, the result turned out to be fairly general in scope, applicable to other analytical approaches, as well as more general research. In hindsight, this makes considerable sense. Although the visual component of VA is necessary, it is insufficient; many analytical activities at the human end involve nonvisual skills, such as effective decision-making and the ability to quickly focus on the relevant parts of a problem. -/- The result of this experimentation is a third-year undergraduate course titled Cognitive Systems 303 (COGS 303) that focuses on “VA unplugged”—that is, on developing investigative abilities prior to training on the VA systems themselves. It was felt that if students focused on developing basic analytical habits of thought prior to learning VA systems, these habits would be reinforced by subsequent practice on “live” systems. (shrink)

Market crises amplify fear, disrupting rational decision-making of stock investment. This study examines the relationship between investors’ information priorities—such as intuition, company performance, technical analysis, and other factors—and their fear responses (freeze, flight, and hiding) during market crashes. Using the Bayesian Mindsponge Framework (BMF) to analyze data from 1,526 investors in China and Vietnam, the findings reveal complex dynamics. We found positive associations between investors’ prioritization of social influence and intuition for investment decision-making with being freeze (...) (i.e., not knowing what to do with the owned stock), between prioritization of professionals’ evaluation and intuition with fleeing (i.e. giving up stock investment permanently), and between prioritization of professionals’ evaluation and social influence with hiding (i.e., stopping investing in stock for a while). In contrast, prioritization of companies’ performance metrics (e.g., net profit, debt, etc.) was negatively associated with being freeze, fleeing, and hiding. Meanwhile, prioritization of professionals’ evaluation, technical analysis, and liquidity was negatively associated with being freeze, fleeing, and hiding, respectively. The study highlights the importance of disseminating transparent, accurate information through government and media channels, along with implementing financial education programs, to promote rational investment decisions and reduce fear-driven behaviors. (shrink)

Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress’ prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine learning to train it. We report (...) on the difficult task of operationalizing the principles of beneficence, non-maleficence and patient autonomy, and describe how we selected suitable input parameters that we extracted from a training dataset of clinical cases. The first performance results are promising, but an algorithmic approach to ethics also comes with several weaknesses and limitations. Should one really entrust the sensitive domain of clinical ethics to machine intelligence? (shrink)

Decision-making Capacity matters to whether a patient’s decision should determine her treatment. But why it matters in this way isn’t clear. The standard story is that dmc matters because autonomy matters. And this is thought to justify dmc as a gatekeeper for autonomy – whereby autonomy concerns arise if but only if a patient has dmc. But appeals to autonomy invoke two distinct concerns: concern for authenticity – concern that a choice is consistent with an individual’s commitments; (...) and concern for sovereignty – concern that an individual exercises control over that which is hers to control. Here, I argue, neither concern can alone explain why dmc matters. Instead, dmc matters because it indicates a harmony between the two concerns – the demands of each concern are more likely to agree if a patient has dmc. This vindicates the standard story, but also makes clear that dmc is an inappropriate gatekeeper for autonomy. (shrink)

Decision-making capacity (DMC) plays an important role in clinical practice—determining, on the basis of a patient’s decisional abilities, whether they are entitled to make their own medical decisions or whether a surrogate must be secured to participate in decisions on their behalf. As a result, it’s critical that we get things right—that our conceptual framework be well-suited to the task of helping practitioners systematically sort through the relevant ethical considerations in a way that reliably and transparently delivers correct (...) verdicts about who should and should not have the authority to make their own medical decisions. Unfortunately, however, the standard approach to DMC does not get things right. It is of virtually no help in identifying and clarifying the relevant ethical considerations. And, embedded in the prevailing anti-paternalist paradigm, DMC assessments obfuscate and distort the underlying ethical justification for granting or withholding decisional authority. Here, we describe the core commitments of the standard approach to DMC and then highlight three problems with it. We then argue that these problems are significant enough that they call for more than merely tinkering and fine tuning—variations of the standard approach cannot adequately address them. Instead, we should ditch DMC. (shrink)

In this chapter, it is argued that some animal shelters fulfill the conditions that make triage protocols necessary, namely, the operation with limited financial budgets, space, medical resources, and staff. It is suggested that requirements presented for triage in humans can be fruitfully applied to the context of animal shelters. The focus lies on the criteria of maximizing benefit, justice, medical criteria, life-span considerations, fair decision-making, patient will, re-evaluation of triage decisions and changes in the therapeutic goal, and (...) burden of triage and staff support. The establishment of triage protocols for shelters will make the decision-making process less arbitrary, fairer, and more transparent. Furthermore, it is argued that, in situations where disagreement persist among shelter staff, an external Ethics Board could be called in to help analyze and potentially resolve some of the remaining ethical issues. (shrink)

In this paper, multi attribute decision making problem based on grey relational analysis in neutrosophic cubic set environment is investigated. In the decision making situation, the attribute weights are considered as single valued neutrosophic sets. The neutrosophic weights are converted into crisp weights. Both positve and negative GRA coefficients, and weighted GRA coefficients are determined. Hamming distances for weighted GRA coefficients and standard (ideal) GRA coefficients are determined. The relative closeness coefficients are derived in order to (...) rank the alternatives. The relative closeness coefficients are designed in ascending order. Finally, a numerical example is solved to demonstrate the applicability of the proposed approach. (shrink)

Recently, bioethicists and the UNCRPD have advocated for supported medical decision-making on behalf of patients with intellectual disabilities. But what does supported decision-making really entail? One compelling framework is Anita Silvers and Leslie Francis’ mental prosthesis account, which envisions supported decision-making as a process in which trustees act as mere appendages for the patient’s will; the trustee provides the cognitive tools the patient requires to realize her conception of her own good. We argue that (...) supported decision-making would be better understood as a collaborative process, giving patients with intellectual disabilities the opportunity to make decisions in a respectful relationship with trusted others. We offer an alternative account of supported decision-making where the primary constraint is to protect the patient from domination by the trustee. This is advantageous in its preservation of the prospects for genuine collaboration, for the mental prosthesis approach ultimately reinforces a problematic ideal of isolated patient self-determination. (shrink)

In this study, we propose a new approach based on fuzzy TODIM (Portuguese acronym for interactive and multicriteria decision-making) for decision-making problems in uncertain environments. Our method incorporates group utility and individual regret, which are often ignored in traditional multicriteria decision-making (MCDM) methods. To enhance the analysis and application of fuzzy sets in decision-making processes, we introduce novel entropy and distance measures for q-rung picture fuzzy sets. These measures include an entropy measure (...) based on the sine function and a distance measure derived from the Jensen-Shannon divergence. In our methodology, incorporating the sine function into the entropy measure stands out as a distinctive decision, grounded in a profound understanding of the inherent characteristics of fuzzy sets. Utilizing the sine function proves especially advantageous when handling fuzzy sets that exhibit cyclical variations or fluctuations in their membership degrees. We effectively weight the criteria for an improved evaluation by using this new entropy measure. The introduced distance measure finds application in the TODIM approach, allowing the execution of TODIM method steps within a fuzzy environment until the determination of one alternative’s dominance over another—an advancement beyond traditional approaches. We apply our enhanced fuzzy TODIM method to a real-life construction project management problem from the literature and compare the results with those in the literature and obtained from other MCDM methods. Our proposed measures are robust, as demonstrated by the sensitivity analysis that varied the weights of group utility and individual regret, with the results visualized in a 3D sensitivity plot. The findings demonstrate the superiority of our method in providing a more comprehensive evaluation of alternatives, making it a useful tool for decision-makers facing complex and uncertain decision-making problems. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses (...) face in adopting AI, such as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

In order to strengthen RI in the private sector, it is imperative to understand how companies organise this process, where it takes place, and what considerations and motivations are central in the innovation process. In this chapter, the questions of whether and where normative considerations play a role in the innovation process, and whether dimensions of RI are present in the innovation process, are addressed. In order answer these research questions, a theoretical framework is developed based on Jones’s theory of (...) ethical decision making and Cooper’s stagegate model of innovation management. In order to answer the research questions, a specific case of innovations that contribute to public health is explored, namely, that of food companies that participate in a Front-of-Pack logo for healthier food. As the use of healthy food logos does not necessarily have a positive impact on sales and profits, it is expected that in the decision-making process, as part of their innovation process, companies make several trade-offs between economic, technical and moral factors. As the social-ethical values at stake in corporate innovation processes have remained to a large extent unexplored in research on innovation management, the aim of this chapter is to identify the motivations and barriers for companies embracing and continuing a FoP logo for healthier food, and to assess whether ethical considerations play a role in this innovation process. From the findings in this research, it will become clear that although the studied companies participated in a programme for healthy food and thus are responsive to the needs of society, and although the companies feel responsible for public health, ethical considerations do not play a central role in the operational innovation process. Instead, technical and economic considerations seem to prevail in the operational innovation process. Furthermore, none of the procedural dimensions of RI seems to be present at this level in the innovation trajectory. It is argued that this may be an indication that the ethical decision-making process for RI is not located at the level of the operational innovation process itself, but is something that might be located on a higher strategic level in the company. It is at this level that the moral decision is taken to adopt the FoP logo and to engage in the RI process. The findings cast a new light on the discourse on RI in general, and in the private sector in particular. (shrink)

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

Shared decision-making involves health professionals and patients/clients working together to achieve true person-centred health care. However, this goal is infrequently realized, and most barriers are unknown. Discussion between philosophers, clinicians, and researchers can assist in confronting the epistemic and moral basis of health care, with benefits to all. The aim of this paper is to describe what shared decision-making is, discuss its necessary conditions, and develop a definition that can be used in practice to support excellence (...) in maternity care. Discussion between the authors, with backgrounds in philosophy, clinical maternity care, health care management, and maternity care research, assisted the team to confront established norms in maternity care and challenge the epistemic and moral basis of decision-making for caesarean section. The team concluded that shared decision-making must start in pregnancy and continue throughout labour and birth, with equality in discourse facilitated by the clinician. Clinicians have a duty of care for the adequacy of women's knowledge, which can only be fulfilled when relevant knowledge is offered freely and when personal beliefs and biases that may impinge on decision-making (defeaters) are disclosed. Informed consent is not shared decision-making. Key barriers include existing cultural norms of “the doctor knows best” and “patient acquiescence” that prevent defeaters being acknowledged and discussed and can lead to legal challenges, overuse of medical intervention and, in some areas, obstetric violence. Shared decision-making in maternity care can thus be defined as an enquiry by clinician and expectant woman aimed at deciding upon a course of care or none, which takes the form of a dialogue within which the clinician fulfils their duty of care to the client's knowledge by making available their complete knowledge (based on all types of evidence) and expertise, including an exposition of any relevant and recognized potential defeaters. Research to develop measurement tools is required. (shrink)

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

Creativity and Intelligence: Emergent Properties of the Brain as a Balancing Mechanism for Overpopulation, Natural Disasters, and Diseases -/- The human brain is an extraordinary organ, capable of producing creativity and intelligence as emergent properties that allow humanity to address complex challenges. These traits are not merely tools for individual survival; they function as collective mechanisms to adapt to large-scale issues that threaten humanity’s balance with the environment. Overpopulation, natural disasters, and the prevalence of diseases and illnesses represent some of (...) the most significant pressures on human societies. Through the brain’s capacity for problem-solving and innovation, humanity has developed strategies to mitigate these challenges and maintain equilibrium within the universal law of balance. -/- The Brain as a Balancing Mechanism -/- At its essence, the brain operates as a dynamic system that processes external stimuli and generates adaptive responses. Creativity and intelligence arise from this system as tools to predict, analyze, and address challenges that disrupt balance. Overpopulation, natural disasters, and diseases disrupt human life on social, economic, and environmental levels, testing the brain’s ability to create solutions. -/- Creativity in Addressing Overpopulation -/- Overpopulation places immense strain on resources, ecosystems, and social structures, often leading to food shortages, environmental degradation, and urban overcrowding. The brain’s creative capacity has allowed humans to develop innovations to address these issues. Urban agriculture, such as vertical farming, is an example of how creativity has transformed food production in densely populated areas, reducing dependence on traditional farmland and conserving resources. Similarly, advancements in renewable energy technologies, such as solar and wind power, reduce the ecological footprint of growing populations, providing sustainable solutions to energy needs. -/- Creativity also plays a critical role in social policies and education. Family planning programs and reproductive health education have empowered individuals, particularly women, to make informed decisions, reducing population growth rates in many regions. These initiatives reflect the brain’s ability to create holistic solutions that align societal needs with the preservation of natural balance. -/- Intelligence in Managing Natural Disasters -/- Natural disasters, unpredictable and often catastrophic, require intelligent strategies to mitigate their impact. Intelligence enables humans to analyze data, predict disasters, and prepare for their consequences. Early warning systems for tsunamis, hurricanes, and earthquakes exemplify this, providing communities with critical time to evacuate and take protective measures. -/- Furthermore, intelligence drives the design of resilient infrastructure that can withstand disasters. For instance, earthquake-resistant buildings and flood mitigation systems demonstrate the brain’s capacity to transform scientific knowledge into practical solutions. These innovations save lives, reduce economic losses, and facilitate faster recovery after disasters, ensuring that human societies maintain their balance despite nature’s unpredictability. -/- Creativity and Intelligence in Combating Diseases and Illnesses -/- Diseases and illnesses have long been among humanity’s greatest challenges, especially in the context of overpopulation, which facilitates the rapid spread of infectious diseases. The brain’s emergent properties of creativity and intelligence have been critical in combating these threats through advancements in medicine, public health, and technology. -/- The development of vaccines, antibiotics, and antiviral drugs highlights humanity’s creative response to disease. For example, the eradication of smallpox and the near-elimination of polio are milestones achieved through creative and intelligent applications of medical science. During the COVID-19 pandemic, intelligence and creativity led to the rapid development of vaccines using mRNA technology, showcasing the brain’s ability to adapt to new challenges at an unprecedented pace. -/- Public health strategies, such as sanitation systems, clean water initiatives, and disease surveillance networks, also reflect the brain’s ability to create systemic solutions. These measures have significantly reduced the burden of communicable diseases, particularly in densely populated areas. Moreover, advancements in artificial intelligence and biotechnology continue to enhance humanity’s ability to detect, prevent, and treat illnesses. -/- The Interplay of Creativity, Intelligence, and Feedback Mechanisms -/- Creativity and intelligence act as feedback mechanisms that enable humans to respond to disruptions while maintaining balance within the universal law of nature. Overpopulation, natural disasters, and diseases disrupt this balance, prompting the brain to generate solutions that restore harmony. -/- For instance, urban planning that incorporates green spaces and sustainable infrastructure addresses the environmental strain caused by overpopulation. Similarly, the integration of traditional knowledge with modern technologies enhances disaster resilience. In the context of diseases, the collaboration of global institutions and local communities reflects the brain’s capacity to balance innovation with cultural and social considerations. -/- Challenges and Ethical Considerations -/- While creativity and intelligence empower humanity to address these challenges, they also carry significant ethical responsibilities. Technological advancements must align with principles of sustainability and equity. For example, while vaccines have saved millions of lives, unequal access to these innovations highlights the need for ethical distribution systems. Similarly, urban development projects must prioritize environmental conservation and community well-being to avoid exacerbating existing imbalances. -/- Additionally, the misuse of intelligence and creativity—such as the development of biological weapons or unsustainable industrial practices—can worsen the effects of overpopulation, natural disasters, and diseases. Ensuring that human ingenuity aligns with the principles of balance and harmony is essential to avoid unintended consequences. -/- Conclusion -/- Creativity and intelligence are emergent properties of the human brain that have enabled humanity to adapt to and mitigate the negative effects of overpopulation, natural disasters, and diseases. These traits function as balancing mechanisms, allowing humans to innovate and maintain harmony within the framework of natural laws. However, the application of these capabilities must be guided by ethical considerations and a commitment to sustainability. By aligning human creativity and intelligence with the universal law of balance, humanity can navigate its most pressing challenges and build a more resilient and equitable future. -/- . (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)

-/- Solving the Problem of Free Will: A Universal Formula for Societal Balance -/- Introduction -/- For thousands of years, philosophers, scientists, and scholars have debated the concept of free will without arriving at a definitive solution. The persistent societal problems we witness today—wars, poverty, crime, overpopulation—are deeply rooted in ignorance, particularly about how natural laws govern human decision-making. This essay presents a universal formula that solves the problem of free will by aligning decision-making processes with (...) the universal law of balance found in nature. This solution, if implemented through a holistic educational system, can fundamentally transform societies by eliminating the ignorance that leads to human suffering. -/- The Root of Societal Problems: Ignorance -/- Ignorance is the foundation of nearly all societal problems. Misunderstanding natural laws and disregarding the principles of balance result in poor decision-making, whether on an individual, societal, or global level. Decisions based on misinformation, false beliefs, unproven theories, or emotional biases create imbalances that manifest as societal issues. -/- Examples of Ignorance-Driven Problems: -/- 1. Wars: Wars often arise from misunderstandings, territorial greed, ideological conflicts, and the inability to find peaceful solutions. The ignorance of the law of balance—where equilibrium between differing interests is possible—leads to destruction, suffering, and loss of life. -/- 2. Poverty and Crime: Poverty is frequently the result of systemic imbalances in wealth distribution. Ignorance about how societal resources should be distributed equitably to maintain stability leads to widespread deprivation. Crime similarly stems from a lack of understanding regarding personal responsibility and societal interdependence. -/- 3. Overpopulation: In many countries, overpopulation results from the misconception that growth is inherently good. However, natural systems always maintain balance. Unregulated population growth places immense pressure on resources, leading to poverty, environmental degradation, and societal instability. -/- The Universal Formula: Three Fundamental Laws of Nature -/- This universal formula, derived from observable natural phenomena, consists of three interconnected laws: -/- 1. The Law of Karma (Cause and Effect) Every decision and action produces corresponding consequences. In nature, defective systems—whether mechanical, biological, or societal—inevitably fail. Human societies must recognize that decisions based on ignorance create systemic problems. -/- 2. The Law of Balance Nature operates through balance. From ecosystems to societal structures, stability requires equilibrium. Societal issues like poverty and crime reflect imbalances caused by ignorance of this law. -/- 3. The Law of Homeostasis Homeostasis maintains internal stability despite external changes. Societies must develop adaptive yet balanced policies to ensure long-term well-being. -/- These laws reveal that human free will is not arbitrary but governed by predictable patterns. Conscious decisions, whether individual or collective, operate like feedback loops responding to external and internal stimuli while adhering to natural laws. -/- The Role of the Educational System -/- To address ignorance effectively, societies must adopt a holistic educational system that integrates these universal laws into foundational curricula. Current education often overlooks the principles that govern human behavior and societal balance. The new system should prioritize critical thinking, scientific literacy, and moral responsibility. -/- Key Objectives of a Holistic Educational System: -/- 1. Eliminate Ignorance: Equip students with a deep understanding of natural laws and their role in decision-making. -/- 2. Promote Critical Thinking: Teach students to question information, identify biases, and recognize the long-term impacts of decisions. -/- 3. Prepare Responsible Future Generations: Produce a high-quality generation of future parents who understand the importance of balance in raising children, managing resources, and contributing to societal stability. -/- Example: Incorporating environmental science with lessons on population dynamics can help students grasp why unchecked population growth leads to resource scarcity and societal challenges. Lessons in psychology, combined with discussions about collective decision-making, can illustrate the importance of balanced, informed leadership. -/- The Misconception of Unlimited Growth -/- One of the most damaging misconceptions societies face today is the belief in continuous economic and population growth. In nature, growth is always regulated by available resources. Societies that ignore this principle face environmental destruction, social unrest, and economic instability. -/- Example: Countries experiencing rapid population growth often encounter overcrowded cities, unemployment, and resource depletion. By understanding the law of balance, policymakers can implement sustainable growth strategies, ensuring resources meet population needs without compromising long-term stability. -/- The Feedback Mechanism of Conscious Minds -/- Human decision-making, both individually and collectively, operates as a feedback mechanism. Minds continuously exchange information, influencing one another’s decisions. This interaction follows natural laws, ensuring that any deviation from balance triggers societal disruptions. -/- Example: When misinformation spreads through social media, collective decisions become skewed. Understanding the feedback mechanism can help societies implement educational strategies that foster discernment and rational decision-making. -/- The Need for’Global Collaboration -/- The successful implementation of this universal formula requires global collaboration. International organizations like the United Nations and the World Economic Forum, along with educational institutions worldwide, must prioritize the integration of these natural laws into educational frameworks. -/- Example: The Philippines, facing governance challenges and population pressures, could significantly benefit from such an educational overhaul. Similarly, China’s “whole-process people’s democracy” could incorporate these principles to enhance holistic governance strategies. -/- The Role of Artificial General Intelligence (AGI) -/- AGI, when developed with a complete sensor system, can apply the universal formula to predict and address societal problems. Programming AGI to follow these natural laws will ensure its decisions align with human well-being and societal stability. -/- Conclusion -/- Solving the problem of free will is not an abstract philosophical pursuit but a practical necessity for societal stability. Ignorance of the natural laws governing decision-making has perpetuated human suffering for centuries. The universal formula, grounded in the principles of karma, balance, and homeostasis, offers a concrete, actionable solution. By implementing this understanding through a holistic educational system, we can eliminate the root causes of wars, poverty, crime, and overpopulation. The time to act is now—before ignorance further destabilizes the delicate balance upon which our future depends. -/- . (shrink)

Across two studies the hypotheses were tested that stressful situations affect both leadership ethical acting and leaders' recognition of ethical dilemmas. In the studies, decision makers recruited from 3 sites of a Swedish multinational civil engineering company provided personal data on stressful situations, made ethical decisions, and answered to stress-outcome questions. Stressful situations were observed to have a greater impact on ethical acting than on the recognition of ethical dilemmas. This was particularly true for situations involving punishment and lack (...) of rewards. The results are important for the Corporate Social Responsibility (CSR) of an organization, especially with regard to the analysis of the Stressors influencing managerial work and its implications for ethical behavior. (shrink)

The stakes associated with an algorithmic decision are often said to play a role in determining whether the decision engenders a right to an explanation. More specifically, “high stakes” decisions are often said to engender such a right to explanation whereas “low stakes” or “non-high” stakes decisions do not. While the overall gist of these ideas is clear enough, the details are lacking. In this paper, we aim to provide these details through a detailed investigation of what we (...) will call the “Simple Stakes Thesis”. The Simple Stakes Thesis, as it will turn out, is too simple. For even if the stakes associated with a specific one-off decision are low—and hence does not engender a right to an explanation—such decisions may nevertheless form part of a high stakes pattern or aggregate of decisions. In such cases, we argue, even a low stakes decision may engender a right to explanation. Not only does this show that the right to explanation is more demanding than so far recognized. It also shows that the stakes thesis is significantly harder to apply in practice. (shrink)

There is wide consensus among bioethicists about the importance of autonomy when determining whether or not a patient has the right to refuse life-saving treatment (LST). In this context, autonomy has typically been understood in terms of the patient’s ability to make an informed decision. According to the traditional view, decision-making capacity (DMC) is seen as both necessary and sufficient for the right to refuse LST. Recently, this view has been challenged by those who think that considerations (...) of authenticity and putative counterexamples should lead us to revise the traditional account. In this paper, we respond to these revisionist arguments, and we defend the traditional view according to which we have autonomy-based reasons to respect a patient’s decision to refuse LST if and only if she has DMC. (shrink)

Citizens can be meaningfully involved in multiple phases of the urban planning process from decision-making to implementation via a dedicated online platform through which they can interact with planners and decision-makers. In historical contexts, local people are essential resources for decision-makers seeking critical local information needed for effective planning and intervention—including what those citizens recall from the past about the area’s social values and the built environment and what they imagine and hope for their neighborhood’s future. (...) This public knowledge, collected through storytelling and mapping, can play a fundamental role in shaping the framework for neighborhood rehabilitation plans. As a foundation for designing an online visual questionnaire to collect local knowledge and understand the views and expectations of local people, this study focuses on theoretical ideas to define a framework for an online visual questionnaire tool. The tool presented provides a common visual language that people can easily understand and use whatever their social class, education, or background. It also has the benefit of enabling citizens and planners to interact directly regardless of their geographical location. To proposing a framework for the online visual questionnaire, the first step was to review some existing visual tools and methods, including analog used for community engagement and digital used in urban planning to encourage and support public participation. Through an analysis of these methods, some important variables and criteria were identified that further our understanding of citizens’ perceptions of their neighborhoods. The next step, as part of a larger study, will be examining a historical public space, including a bazaar, hammam, and cistern—located in the historical context of Yazd— a central city in Iran registered as a cultural heritage site by UNESCO— as a case study with the larger goal of identifying some specific. (shrink)

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

This paper is devoted to present Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for multi-attribute group decision making under rough neutrosophic environment. The concept of rough neutrosophic set is a powerful mathematical tool to deal with uncertainty, indeterminacy and inconsistency. In this paper, a new approach for multi-attribute group decision making problems is proposed by extending the TOPSIS method under rough neutrosophic environment. Rough neutrosophic set is characterized by the upper and lower (...) approximation operators and the pair of neutrosophic sets that are characterized by truth-membership degree, indeterminacy membership degree, and falsity membership degree. In the decision situation, ratings of alternatives with respect to each attribute are characterized by rough neutrosophic sets that reflect the decision makers’ opinion. Rough neutrosophic weighted averaging operator has been used to aggregate the individual decision maker’s opinion into group opinion for rating the importance of attributes and alternatives. Finally, a numerical example has been provided to demonstrate the applicability and effectiveness of the proposed approach. (shrink)

Humans and artificial intelligences (AI) will increasingly participate digitally and physically in conflicts yet there is a lack of trusted communications across agents and platforms. For example, humans in disasters and conflict already use messaging and social media to share information, however, international humanitarian relief organisations treat this information as unverifiable and untrustworthy. AI may reduce the ‘fog-of-war’ and improve outcomes, however current AI implementations are often brittle, have a narrow scope of application and wide ethical risks. Meanwhile, human error (...) causes significant civilian harms even by combatants committed to complying with international humanitarian law. AI offers an opportunity to help reduce the tragedy of war and better deliver humanitarian aid to those who need it. However, to be successful, these systems must be trusted by humans and their information systems, overcoming flawed information flows in conflict and disaster zones that continue to be marked by intermittent communications, poor situation awareness, mistrust and human errors. In this paper, we consider the integration of a communications protocol (the ‘Whiteflag protocol’), distributed ledger technology, and information fusion with artificial intelligence (AI), to improve conflict communications called “Protected Assurance Understanding Situation & Entities” PAUSE. Such a trusted human-AI communication network could provide accountable information exchange regarding protected entities, critical infrastructure; humanitarian signals and status updates for humans and machines in conflicts. Trust-based information fusion provides resource-efficient use of diverse data sources to increase the reliability of reports. AI can be used to catch human mistakes and complement human decision making, while human judgment can direct and override AI recommendations. We examine several case studies for the integration of these technologies into a trusted human-AI network for humanitarian benefit including mapping a conflict zone with civilians and combatants in real time, preparation to avoid incidents and using the network to manage misinformation. (shrink)

Teddy Seidenfeld – CMU An old, wise, and widely held attitude in Statistics is that modest intervention in the design of an experiment followed by simple statistical analysis may yield much more of value than using very sophisticated statistical analysis on a poorly designed existing data set.

Using artificial intelligence (AI) to make decisions in human resource management (HRM) raises questions of how fair employees perceive these decisions to be and whether they experience respectful treatment (i.e., interactional justice). In this experimental survey study with open-ended qualitative questions, we examine decision making in six HRM functions and manipulate the decision maker (AI or human) and decision valence (positive or negative) to determine their impact on individuals’ experiences of interactional justice, trust, dehumanization, and perceptions (...) of decision-maker role appropriate- ness. In terms of decision makers, the use of human decision makers over AIs generally resulted in better perceptions of respectful treatment. In terms of decision valence, people experiencing positive over negative decisions generally resulted in better perceptions of respectful treatment. In instances where these cases conflict, on some indicators people preferred positive AI decisions over negative human decisions. Qualitative responses show how people identify justice concerns with both AI and human decision making. We outline implications for theory, practice, and future research. (shrink)

Kahneman's theory of two systems assumes that human decision making in Economy is based on two cognitive systems, one that is automatic, intuitive and mostly unconscious, and one that is reflexive, rational and fully conscious. The authors consider Kahneman’s approach incomplete and limited in accounting for the creativity of embodied agents grasping the opportunities afforded by physical and social environments. This limitation leads us to argue for the existence of a third system in decision making in (...) Economy, the creative intuition based on direct perception of affordances, addressing not only the dispositions and goals of agents but also the social and environmental responsibility of corporations and governments. The authors argue that the third decision-making system the authors propose implies a concept of intuition that is different from the type of association process discussed by Morewedge and Kahneman [2] and gives an example of the third system operation, the Bolsa Família in Brazil, and finding new options for the funding of similar programs. (shrink)

In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in health care and academic philosophy. This has been due mainly to the rise of effective machine learning and deep learning algorithms, together with increases in data collection and processing power, which have made rapid progress in many areas. However, use of this technology has brought with it philosophical issues and practical problems, in particular, epistemic and ethical. In this paper the authors, with backgrounds in (...) philosophy, maternity care practice and clinical research, draw upon and extend a recent framework for shared decision-making (SDM) that identified a duty of care to the client's knowledge as a necessary condition for SDM. This duty entails the responsibility to acknowledge and overcome epistemic defeaters. This framework is applied to the use of AI in maternity care, in particular, the use of machine learning and deep learning technology to attempt to enhance electronic fetal monitoring (EFM). In doing so, various sub-kinds of epistemic defeater, namely, transparent, opaque, underdetermined, and inherited defeaters are taxonomized and discussed. The authors argue that, although effective current or future AI-enhanced EFM may impose an epistemic obligation on the part of clinicians to rely on such systems' predictions or diagnoses as input to SDM, such obligations may be overridden by inherited defeaters, caused by a form of algorithmic bias. The existence of inherited defeaters implies that the duty of care to the client's knowledge extends to any situation in which a clinician (or anyone else) is involved in producing training data for a system that will be used in SDM. Any future AI must be capable of assessing women individually, taking into account a wide range of factors including women's preferences, to provide a holistic range of evidence for clinical decision-making. (shrink)

A crucial question in relation to support designed to enable the legal capacity of people with mental disabilities concerns when support constitutes undue influence. This article addresses this question in order to facilitate the development of law and policy in England and Wales, by providing a normative analysis of the different approaches to undue influence across decisions about property, contracts, health, finances, and accommodation. These are all potential contexts for supporting legal capacity, and, in doing so, the article compares approaches (...) to undue influence that are rarely considered together. -/- Drawing on the UN Convention on the Rights of Persons with Disabilities, third sector and public body documents, and law in England and Wales, the analysis identifies six models that conceptualise undue influence in terms of: modes of influence; an overborne will; an inference from the situation; an overborne will understood as a mental incapacity; an overborne will in connection with vulnerability; and impaired discursive control. This final approach is a novel proposal for understanding undue influence. The analysis highlights key policy-relevant issues that distinguish the models, and generates a deliberative framework for navigating them, with the ‘overborne will’, ‘inference-based’, and ‘discursive control’ models identified as potentially fitting for the support context. (shrink)

Management decision-making is a daily task that managers of various levels solve in every organization. Degree of difficulty of this process depends on the scope of authority, responsibility level, manager’s position in organizational hierarchy; on the changes in the environment, unpredictability of which causes emergence of significant amounts of alternatives. For this reason, managers do not rely only on intuition or personal experience (which limited with selective perception, cognitive ability, ability to withstand stress and/or the presence of bias), (...) but use tools (methods) that have stood the test of time and practice; are based at the analysis of a significant amount of primary and secondary information; involve team-building to find the optimal option or to generate ideas. A significant amount of research papers are devoted to such methods, however, the author forms a synergetic approach which contains a detailed analysis of their correlation with the key factors of the competitiveness of enterprise, such as organizational culture and leadership. Existing decision-making practices, problems and style of management at the tourism enterprises are revealed from conducted survey (the first half of 2014) in tourism firms of Dnepropetrovsk and Zaporizhzhia regions of Ukraine, in which 729 tourism managers took part. The most popular decision-making practices in tourism branch were specified, among them are modeling and monitoring of previous results. The study proved the hypothesis of the author concerning strong connection of decision-making management and type of organizational culture. Moreover, 63% of managers were dissatisfied with low attention to organizational culture at their companies. The basis for future research and the synergetic matrix for decision-making management were worked out in the article which give preconditions for further studies and improvements in tourism management of Ukrainian enterprises. (shrink)

Over the last two decades, there was an upsurge of research and innovation in biotechnology and related fields, leading to exciting new discoveries in areas such as the engineering of biological processes, gene editing, stem cell research, CRISPR-Cas9 technology, Synthetic Biology, recombinant DNA, LMOs and GMOs, to mention only a few. At the same time, these advances generated concerns about biosafety, biosecurity and adverse impacts on biodiversity and the environment, leading to the establishment of Research Ethics Committees (RECs) at Higher (...) Education and Research Institutions dedicated to reviewing research with implications for biosafety and the environment. -/- These Biosafety and Environment Research Ethics Committees, referred to as EBRECs, are in the early stages of their establishment and formalisation, and there is much uncertainty about their composition, scope, procedures of decision-making and the principles that should guide their deliberations and assessments. In many respects, EBRECs are venturing into uncharted territory, facing a very wide range of complex research fields, far-reaching research practices and deep concerns new to Review Boards, raising the question to what extent EBRECs can fall back on the fairly well-established principles and procedures of RECs focusing on Human, Health or Animal research, and to what extent they need new or adapted principles and procedures. -/- Against this background, I set out to answer the following three main research questions in this thesis: 1. What is the current state of ethical principles for ethics reviews in the field of environmental and biosafety research ethics? Which principles are currently used in this context, and how? 2. What are the shortcomings of the current principles used by EBRECs and how can they be overcome? 3. What ethical principles must be adopted by environmental and biosafety research ethics committees and guide them in their decision-making? -/- In order to prepare the ground and set the scene for my discussion of these questions, I also formulated four supporting research questions: i. What is environmental research ethics in action? ii. What is biosafety research ethics in action? iii. How are environmental and biosafety ethics related to one another? iv. How should the guidelines and ethical principles related to these two overlapping fields be implemented in the ethics review process? Following my introduction and problem statement in Chapter 1, I devoted Chapters 2 and 3 to an overview of my supporting questions to set the scene for Environmental and Biosafety Research Ethics. In Chapter 4, I turned to my main research question with a discussion of national and international declarations, frameworks and legislation and an investigation of principles in the different research areas to get a picture of applicable principles that can guide EBRECs. -/- The main finding of my thesis is that due to the complexity of EBR, different categories of principles could be the solution for EBRECs. I elaborate on this in Chapter 5, my concluding chapter, in which I also propose a list of core principles that can serve as an accessible and easy-to-use guide for EBRECs in their decision-making. In this proposal, I cluster different kinds of principles in terms of four categories: 1. Principles as a Moral Concept 2. Principles as a Social Concept 3. Principles as a Legal Concept 4. Principles as a Safety Concept . (shrink)

Phenomenology gives rise to certain ontological considerations that have far-reaching implications for standard conceptions of patient autonomy in medical ethics, and, as a result, the obligations of and to patients in clinical decision-making contexts. One such consideration is the phenomenological reduction in classical phenomenology, a core feature of which is the characterisation of our primary experiences as immediately and inherently meaningful. This paper builds on and extends the analyses of the phenomenological reduction in the works of Husserl, Heidegger, (...) and Merleau-Ponty in order to identify and explain its implications for our current understanding of the principle of respect for patient autonomy and the norms of clinical decision making. (shrink)

According to many of its proponents, shared decision making ("SDM") is the right way to interpret the clinician-patient relationship because it respects patient autonomy in decision-making contexts. In particular, medical ethicists have claimed that SDM respects a patient's relational autonomy understood as a capacity that depends upon, and can only be sustained by, interpersonal relationships as well as broader health care and social conditions. This paper challenges that claim. By considering two primary approaches to relational autonomy, (...) this paper argues that standard accounts of SDM actually undermine patient autonomy. It also provides an overview of the obligations generated by the principle of respect for relational autonomy that have not been captured in standard accounts of SDM and which are necessary to ensure consistency between clinical practice and respect for patient autonomy. (shrink)

This article will offer an alternative understanding of managerial decision-making drawing from Sartre’s Critique of Dialectical Reason rather than simply Being and Nothingness. I will begin with a brief explanation of Sartre’s account of freedom in Being and Nothingness. I will then show in the second section how Andrew West uses Sartre’s conception of radical freedom from Being and Nothingness for a managerial decision-making model. In the third section, I will explore a more robust account of (...) freedom from Sartre’s Critique of Dialectical Reason. I will attempt to show that freedom is not simply a matter of choosing (or not choosing) to perform an action, but entails external constraints—including other people. Finally, I will provide the implications of this account of freedom for managerial decision-making. I will show that it’s unreasonable to place full responsibility and/or blame on managers given their constraints. This does not absolve them from responsibility, but better accounts for the way in which we ought to hold them responsible. (shrink)

Abstract: This paper defends a constraint that any satisfactory decision theory must satisfy. I show how this constraint is violated by all of the decision theories that have been endorsed in the literature that are designed to deal with cases in which opinions or values are represented by a set of functions rather than a single one. Such a decision theory is necessary to account for the existence of what Ruth Chang has called “parity” (as well as (...) for cases in which agents have incomplete preferences or imprecise credences). The problem with the all of the decision theories that have been defended to account for parity is that they are committed to a claim I call unanimity: when all of the functions in the set agree that an agent ought to do A, then an agent ought to do A. A decision theory committed to unanimity violates the constraint I defend in this paper. Thus, if parity exists, a new approach to decision theory is necessary. (shrink)

This theoretical paper explores the application of Hegelian inferentialism combined with contemporary quantitative methods to enhance decision-making in healthcare leadership. It proposes a novel conceptual framework that integrates Hegel’s inferentialism with Bayesian analysis and epistemic justice indices to offer a new approach for understanding complex decision processes in healthcare settings. The paper develops theoretical constructs such as the Decision Quality Index (DQI) and the Epistemic Justice Quotient (EJQ), which aim to quantitatively assess leadership effectiveness and ethical (...) considerations in decision-making processes. The discussion includes mathematical proofs for these proposed indices and examines the potential practical implications of this integrated approach, emphasizing its theoretical potential to improve healthcare leadership through more inclusive and evidence-based practices. This work provides a conceptual foundation for future empirical research in healthcare leadership and decision-making. (shrink)

Research on human decision making is at the present time undergoing rapid changes. From previously being much focused on models and approaches with an origin in economy, much of the present day research finds its inspiration from disciplinary approaches concerned with incorporating more of the context that the decision making takes place in. This context includes psychological aspects of the decision maker and social-cultural aspects of the situation he or she acts in. All human (...) class='Hi'>decision making occurs in dynamically changing contexts. One factor contributing to this is that human beings or groups in many situations act as entrepreneurs trying to improve the situation for themselves or their organization. Given that this is the case, it is of increasing interest for both researchers and practitioners interested in the social aspects of decision making to consider the relation between creativity and decision making. (shrink)

Shared Decision Making (‘SDM’) is one of the most significant developments in Western health care practices in recent years. Whereas traditional models of care operate on the basis of the physician as the primary medical decision maker, SDM requires patients to be supported to consider options in order to achieve informed preferences by mutually sharing the best available evidence. According to its proponents, SDM is the right way to interpret the clinician-patient relationship because it fulfils the ethical (...) imperative of respecting patient autonomy. However, there is no consensus about how decisions in SDM contexts relate to the principle of respect for autonomy. In response, I demonstrate that in order to make decisions about what treatment they will or will not receive, patients will be required to meet different conditions depending on the approach proponents of SDM take to understanding personal autonomy. Due to the fact that different conceptions of autonomy yield different obligations, I argue that if physicians and patients satisfied all the conditions described in standard accounts of SDM, then SDM would undermine patient autonomy. (shrink)

Unlike other classical arguments for the existence of God, Pascal’s Wager provides a pragmatic rationale for theistic belief. Its most popular version says that it is rationally mandatory to choose a way of life that seeks to cultivate belief in God because this is the option of maximum expected utility. Despite its initial attractiveness, this long-standing argument has been subject to various criticisms by many philosophers. What is less discussed, however, is the rationality of this choice in situations where the (...) decision-makers are confronted with greater uncertainty. In this paper, I examine the imprecise version of Pascal’s Wager: those scenarios where an agent’s credence that God exists is imprecise or vague rather than precise. After introducing some technical background on imprecise probabilities, I apply five different principles for decision-making to two cases of state uncertainty. In the final part of the paper, I argue that it is not rationally permitted to include zero as the lower probability of God’s existence. Although the conditions for what makes an act uniquely optimal vary significantly across those principles, I also show how the option of wagering for God can defeat any mixed strategy under two distinct interpretations of salvation. (shrink)

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

The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications. In this paper, we will extend the TOPSIS method to deal with the interval neutrosophic uncertain linguistic information, and propose an extended TOPSIS method to solve the multiple attribute decision making problems in which the attribute value takes the form of the interval neutrosophic uncertain linguistic (...) variables and attribute weight is unknown. Firstly, the operational rules and properties for the interval neutrosophic variables are introduced. Then the distance between two interval neutrosophic uncertain linguistic variables is proposed and the attribute weight is calculated by the maximizing deviation method, and the closeness coefficients to the ideal solution for each alternatives. Finally, an illustrative example is given to illustrate the decision making steps and the effectiveness of the proposed method. (shrink)

What process ought to guide decision making for pediatric patients? The prevailing view is that decision making should be informed and guided by the best interest of the child. A widely discussed structural model proposed by Buchanan and Brock focuses on parents as surrogate decision makers and examines best interests as guiding and/or intervention principles. Working from two recent articles by Ross on “constrained parental autonomy” in pediatric decision making (which is grounded in (...) the Buchanan and Brock model), I discuss (supportively) features of Ross’s effort visa-vis the best interest standard. I argue that any pediatric decision-making model that brackets or formally limits an engagement with the child patient assumes too much. Further, any model that under appreciates the place of parents and their autonomy, and the dynamic parent-child relationship, misses an opportunity to broaden the clinical encounter by considering questions of justice for the child (Rawls) and within a family (Ross). In this context, I focus on the child’s emerging and ongoing emotional and intellectual development and autonomy—their capabilities and identifying primary goods. (shrink)

By embracing AI-driven HR analytics, organizations can anticipate market shifts, prepare their workforce for future challenges, and stay ahead of the competition. This study outlines the essential components of AI-driven HR analytics, demonstrates its impact on workforce agility, and concludes with potential future enhancements to further optimize HR functions. Key words: Predictive Workforce Analytics, Talent Optimization, Machine Learning in.

Humankind is facing many existential global problems that require international and transgenerational efforts to be solved. Preparing our next generation with sufficient knowledge and skills to deal with such problems is imperative. Fortunately, the digital environment provides foundational conditions for children’s and adolescents’ exploration and self-learning, which might help them cultivate the necessary knowledge and skills for future survival. We conducted the Bayesian Mindsponge Framework (BMF) analytics on a dataset of 2069 students from 54 Vietnamese elementary, secondary, and high (...) schools to test this presumption. The results showed that students with higher digital literacy are more curious and have better knowledge regarding global issues (i.e., climate change, disease, overpopulation, aging, etc.). Students’ curiosity also mediates the relationship between digital literacy and global issues knowledge. Based on these findings, we argue that digital explorative space is essential for digital natives’ education for survival, individually (i.e., for future employment requirements) and socially (i.e., for making informed decisions and creating innovations that can be helpful to society). Children’s and adolescents’ exposure to digital explorative space should be promoted to improve their digital literacy rather than prohibition. During the exploration, emotional intelligence is critical in mitigating existential risks, or threats, to digital natives to navigate and overcome chaotic processes occurring in unchartered waters in the virtual world. (shrink)

This article is about the information relevant to decision-making capacity in refusal of life-prolonging medical treatment cases. We examine the degree to which the phenomenology of the options available to the agent—what the relevant states of affairs will feel like for them—forms part of the capacity-relevant information in the law of England and Wales, and how this informational basis varies across adolescent and adult medical treatment cases. We identify an important doctrinal phenomenon. In the leading authorities, the courts (...) appear to count the first-personal phenomenology of the available options among the information that adolescents seeking to refuse life-prolonging treatment must understand and appreciate in order to possess capacity; adults are not held to this (higher) standard. We evaluate this differential treatment in light of philosophical work on transformative choice—decisions involving options whose sensory character, and effect on our values and preferences, are grasped only through experience itself. (shrink)

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

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