An influential critique of anger holds that anger comes at an important epistemic cost. In particular, feeling angry typically makes risk less visible to us. This is anger’s ‘red mist.’ These epistemic costs, critics suggest, arguably outweigh the epistemic benefits commonly ascribed to anger. This essay argues that the epistemic critique of anger is importantly misleading. This is not because it underestimates anger’s epistemic benefits, but rather because it overlooks the fact that anger’s red mist performs a crucial moral function. (...) By concealing risk, the red mist helps protect the dignity and self-respect of those who live under severe and unchosen risk. This function is vitally important in non-ideal circumstances, where many are unjustly subjected to dignity-impairing risk. And it is irreplaceable, in that it cannot readily be performed by other political emotions, such as hope. Beyond providing a novel defence of anger, this argument has a broader upshot. Anger’s red mist reveals that ignorance is not always problematic in politics. Accordingly, it should not be treated—as has standardly been the case—as an unmitigated political evil. In the first instance, our efforts are better spent ascertaining when ignorance is a problem, and when, instead, it performs a felicitous function. (shrink)

Age-based rationing remains highly controversial. This question has been paramount during the Covid-19 pandemic. Analyzing the practices, proposals, and guidelines applied or put forward during the current pandemic, three kinds of age-based rationing are identified: an age-based cut-off, age as a tiebreaker, and indirect age rationing, where age matters to the extent that it affects prognosis. Where age is allowed to play a role in terms of who gets treated, it is justified either because this is believed to maximize benefits (...) from scarce resources or because it is believed to be in accordance with the value of fairness understood as (a) fair innings, where less priority is given to those who have lived a full life or (b) an egalitarian concern for the worse off. By critically assessing prominent frameworks and practices for pandemic rationing, this article considers the balance the three kinds of age-based rationing strike between maximizing benefits and fairness. It evaluates whether elements in the proposals are, in fact, contrary to the justifications of these measures. Such shortcomings are highlighted, and it is proposed to adjust prominent proposals to care for the worse off more appropriately and better consider whether the acquired benefits befalls the young or the old. (shrink)

Objective We reviewed human–robot interaction (HRI) participatory design (PD) research with older adults. The goal was to identify methods used, determine their value for design of robots with older adults, and provide guidance for best practices. Background Assistive robots may promote aging-in-place and quality of life for older adults. However, the robots must be designed to meet older adults’ specific needs and preferences. PD and other user-centered methods may be used to engage older adults in the robot development process to (...) accommodate their needs and preferences and to assure usability of emergent assistive robots. Method This targeted review of HRI PD studies with older adults draws on a detailed review of 26 articles. Our assessment focused on the HRI methods and their utility for use with older adults who have a range of needs and capabilities. Results Our review highlighted the importance of using mixed methods and including multiple stakeholders throughout the design process. These approaches can encourage mutual learning (to improve design by developers and to increase acceptance by users). We identified key phases used in HRI PD workshops (e.g., initial interview phase, series of focus groups phase, and presentation phase). These approaches can provide inspiration for future efforts. Conclusion HRI PD strategies can support designers in developing assistive robots that meet older adults’ needs, capabilities, and preferences to promote acceptance. More HRI research is needed to understand potential implications for aging-in-place. PD methods provide a promising approach. (shrink)

In this paper, we propose a methodology to maximize the benefits of interdisciplinary cooperation in AI research groups. Firstly, we build the case for the importance of interdisciplinarity in research groups as the best means to tackle the social implications brought about by AI systems, against the backdrop of the EU Commission proposal for an Artificial Intelligence Act. As we are an interdisciplinary group, we address the multi-faceted implications of the mass-scale diffusion of AI-driven technologies. The result of our exercise (...) lead us to postulate the necessity of a behavioural theory that standardizes the interaction process of interdisciplinary groups. In light of this, we conduct a review of the existing approaches to interdisciplinary research on AI appliances, leading to the development of methodologies like ethics-by-design and value-sensitive design, evaluating their strengths and weaknesses. We then put forth an iterative process theory hinging on a narrative approach consisting of four phases: definition of the hypothesis space, building-up of a common lexicon, scenario-building, interdisciplinary self-assessment. Finally, we identify the most relevant fields of application for such a methodology and discuss possible case studies. (shrink)

In 2012, a major traffic safety organization tasked the MIT AgeLab with developing a data-driven system for rating the effectiveness of new technologies intended to improve safety. Such a system was envisioned as having the potential to educate and guide consumers towards more confident and strategic purchasing decisions, ideally encouraging adoption of technologies with demonstrated safety benefit. In addition, an evaluation of the status and extent of existing data was seen as a way of identifying research gaps in the (...) state of knowledge about safety systems. The focus was on technologies as a class, not on a rating review of individual vehicle model implementations. As conceptualized, the system aimed to complement traditional NCAP style ratings as well as to provide consumers with transparent information on early stage and often improving safety technologies. Development of the rating system and identification of data was undertaken in consultation with a range of academic, industrial, consumer, NGO, and governmental experts as well as with representatives of many of the major automotive manufacturers and suppliers. -/- A key observation that emerged was that data on objectively demonstrable real-world benefits were generally sparse and often lower than expectations based on theoretical considerations, simulation studies, or pre-production evaluations. A number of experts and industry representatives expressed some surprise at both the divergence between theoretical and observed benefits and the relative scarcity of data upon which to make objective assessments, while others were quite aware of these issues and the need for the development of objective data under real-world operating conditions. A number of factors that might be relevant to understanding why such differences between expected and observed benefits exist were identified. One outcome of this effort was the founding of the Advanced Vehicle Technology (AVT) consortium to collect and examine objective data under naturalistic driving conditions of how drivers interact with, engage or don’t engage, various production safety and driver assistance systems. This ongoing effort is contributing to insights concerning actual benefits and reasons for benefit gaps. -/- Drawing from our initial work, as well as newer sources of data, we argue that the evaluation and rating of safety and driver assistance technologies for informing the consumer and the public at large should consider both theoretical potential and existing demonstrated benefit of specific technologies. This position is increasingly relevant as the effectiveness of many newer technologies have the potential to actually improve over the lifecycle of a vehicle through software updates. The emphasis on ratings based on observed benefit for actual drivers under real-world conditions is proposed to be complementary, rather than competing with, ratings focused largely on controlled test track evaluations of engineered capability. In addition, a case is made for providing ratings that assesses benefit relative to overall crash, injury, and fatality rates – and in relation to the specific scenario / crash event type that a given technology is intended to address. This approach should aid consumers in considering the extent to which a specific technology is or is not relevant to their particular driving needs. (shrink)

Morality seems to require us to attend to the good of others, but does not require that we assign any importance to our own good. Standard forms of consequentialism thus appear vulnerable to the compulsory self-benefit objection: they require agents to benefit themselves when doing so is entailed by the requirement of maximizing overall impersonal good. Attempts to address this objection by appealing to ideally motivated consequentialist agents; by rejecting maximization; by leveraging consequentialist responses to the more (...) familiar special relationships and demandingness objections; or by appealing to dual rankings of moral and all-things-considered reasons fall short of adequately answering this objection. A satisfactory response to the compulsory self-benefit objection is elusive because of consequentialism struggles to account for directed options (in this case, an option not to maximize one’s own good but not that of others) and for moral considerations that do not rest on the value of outcomes or states of affairs. (shrink)

Animal models have long been used to investigate human mental disorders, including depression, anxiety, and schizophrenia. This practice is usually justified in terms of the benefits (to humans) outweighing the costs (to the animals). I argue on utility maximization grounds that we should phase out animal models in neuropsychiatric research. Our leading theories of how human minds and behavior evolved invoke sociocultural factors whose relation to nonhuman minds, societies, and behavior has not been homologized. Thus it is not at (...) all clear that we are gaining the epistemic or clinical benefits we want from this animal-based research. (shrink)

I investigate the reciprocal relationship between social accounts of knowledge production and efforts to increase the representation of women and some minorities in the academy. In particular, I consider the extent to which feminist social epistemologies such as Helen Longino’s critical contextual empiricism can be employed to argue that it is in researchers’ epistemic interests to take active steps to increase gender diversity. As it stands, critical contextual empiricism does not provide enough resources to succeed at this task. However, considering (...) this view through an employment equity lens highlights areas where such theories need to be further developed. I argue that views such as Longino’s ought to attend to nuances of community structure and cultural features that inhibit critical social interactions, if we are to maximize the epistemic as well as the ethical improvements associated with a social approach to knowing. These developments advance these epistemic theories for their own sake. They also help develop these theories into a tool that can be used by those calling for increased diversity in the academy. (shrink)

Con người biết bảo vệ nguồn lợi, chỉ cho riêng mình thôi sao?!

A longstanding orthodoxy holds that the Mohists regard the promotion of li (benefit, 利) as their ultimate normative criterion, meaning that they measure what is yi (just, 義) or buyi (unjust, 不義) depending on whether it maximizes li or not. This orthodoxy dates back at least to Joseph Edkins (1859), who saw Mozi as a utilitarian and an ally of Bentham. In this paper, we will argue that this orthodoxy should be reconsidered because it does not square with several (...) passages from the Mozi. That the Mohists place a strong weight on the promotion of ‘li for the whole world (tianxia zhi li, 天下之利)’ is uncontroversial. We argue, however, that in certain cases the Mohist moral calculus diverges in its rationale or outcome from li-promotionalism. This position rejects the orthodoxy by showing that Mohism and li-promotionalism are not entirely coterminous. (shrink)

The COVID-19 pandemic has helped to clarify the fair and equitable allocation of scarce medical resources, both within and among countries. The ethical allocation of such resources entails a three-step process: (1) elucidating the fundamental ethical values for allocation, (2) using these values to delineate priority tiers for scarce resources, and (3) implementing the prioritisation to faithfully realise the fundamental values. Myriad reports and assessments have elucidated five core substantive values for ethical allocation: maximising benefits and minimising harms, mitigating unfair (...) disadvantage, equal moral concern, reciprocity, and instrumental value. These values are universal. None of the values are sufficient alone, and their relative weight and application will vary by context. In addition, there are procedural principles such as transparency, engagement, and evidence-responsiveness. Prioritising instrumental value and minimising harms during the COVID-19 pandemic led to widespread agreement on priority tiers to include health-care workers, first responders, people living in congregate housing, and people with an increased risk of death, such as older adults and individuals with medical conditions. However, the pandemic also revealed problems with the implementation of these values and priority tiers, such as allocation on the basis of population rather than COVID-19 burden, and passive allocation that exacerbated disparities by requiring recipients to spend time booking and travelling to appointments. This ethical framework should be the starting point for the allocation of scarce medical resources in future pandemics and other public health conditions. For instance, allocation of the new malaria vaccine among sub-Saharan African countries should be based not on reciprocity to countries that participated in research, but on maximally reducing serious illness and deaths, especially among infants and children. (shrink)

This paper shows that implicit assumptions about the numeraire good in the Kaldor-Hicks efficiency-equity analysis involve a "same-yardstick" fallacy (a fallacy pointed out by Paul Samuelson in another context). These results have negative implications for cost-benefit analysis, the wealth-maximization approach to law and economics, and other parts of applied welfare economics--as well as for the whole vision of economics based on the "production and distribution of social wealth.".

Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...) face when adopting AI, such as data privacy concerns, integration difficulties, and the need for skilled professionals. The paper concludes by offering recommendations for successfully implementing AI solutions to maximize benefits while mitigating potential challenges. (shrink)

According to the Maxim of Quality, rational agents tend to speak honestly. Due to the influence of Grice, a connection between linguistic rationality and honesty is often taken for granted. However, the connection is not obvious: structural rationality in language use does not require honesty, any more than it requires dishonesty. In particular, Quality does not follow from the Cooperative Principle and structural rationality. But then what is honest rational speech? I propose to move the discussion in the context of (...) Stalnaker's theory of assertion. From this perspective, although there is no most rational way to behave, Quality follows from the structure of Stalnakerian conversations if interlocutors are sensitive to credibility. In this case, honesty is built on the expectation of reciprocity, and cooperativity is an outcome and not a precondition of rational communication. A benefit of my discussion is that the account of linguistic rationality falls under the more general view of interactive rationality familiar from theoretical economics. (shrink)

The study dealt with the present socio-economic status, perceptions and opportunities of maximizing the benefits of ecotourism to the local community. Responses from the local community, officials of the local government unit, and visitors using quantitative and qualitative method, particularly the inductive approach through survey, observation and interview was used. Local community involvement in tourism activity is limited to tour guiding, particularly the children, while the rest of the population are into farming, fishing and harvesting forest products. The park was (...) categorized as “Protected Landscape” under Republic Act 7586, now gaining its popularity and one of the fastest growing ecotourism sites in the Philippines is under the supervision of a private company. Visitor satisfaction and potential risk on environmental degradation were observed due to lack of regulation on the observance of carrying capacity. Tourism Action Plan for the destination was prepared but allocation for project for the local community that would contribute to their present socio-economic status was not evident. The geographical unit of the destination, its breath-taking view, the presence of various distinct flora and fauna made it to be labelled as the “Hidden Paradise and Mystical Eco-tourism in Nueva Ecija”. Sustainability in ecotourism, involves the participation of the communities that protect and manage the natural resources, cultural and indigenous knowledge and practices, environmental education and ethics. Community involvement equipped with proper education and conservation awareness, training, and employment opportunities may sustain the destination and enhance visitor satisfaction. (shrink)

Increasingly complex and autonomous systems require machine ethics to maximize the benefits and minimize the risks to society arising from the new technology. It is challenging to decide which type of ethical theory to employ and how to implement it effectively. This survey provides a threefold contribution. First, it introduces a trimorphic taxonomy to analyze machine ethics implementations with respect to their object (ethical theories), as well as their nontechnical and technical aspects. Second, an exhaustive selection and description of relevant (...) works is presented. Third, applying the new taxonomy to the selected works, dominant research patterns, and lessons for the field are identified, and future directions for research are suggested. (shrink)

As the world grapples with the urgent need for sustainable development, the transition towards green energy stands as a critical imperative. Financing this transition poses significant challenges, requiring innovative approaches that align financial objectives with environmental sustainability goals. This review presents a conceptual framework for leveraging data-driven techniques in sustainable finance to facilitate the transition towards green energy. The proposed framework integrates principles of sustainable finance with advanced data analytics to enhance decision-making processes across the financial ecosystem. At its core, (...) the framework emphasizes the importance of harnessing vast datasets related to energy production, consumption, environmental impact, and financial performance. By leveraging machine learning algorithms and predictive modeling techniques, financial stakeholders can gain deeper insights into the risks and opportunities associated with green energy investments. Key components of the framework include data collection and aggregation, risk assessment, impact measurement, and investment optimization. Data sources range from traditional financial indicators to environmental metrics, social impact assessments, and geopolitical factors. Through comprehensive data analysis, financial institutions can assess the long-term viability and sustainability of green energy projects, while also evaluating potential social and environmental impacts. Risk assessment methodologies within the framework consider both financial risks, such as market volatility and regulatory uncertainty, and non-financial risks, such as climate change impacts and community resilience. By integrating these factors into risk models, investors can make more informed decisions that mitigate potential losses and maximize returns. Furthermore, impact measurement tools enable stakeholders to quantify the environmental and social benefits of green energy investments. By tracking metrics such as carbon emissions reduction, energy efficiency improvements, and job creation, investors can assess the contribution of their portfolios towards broader sustainability objectives. Finally, the framework incorporates investment optimization strategies that align financial goals with environmental objectives. Through portfolio diversification, asset allocation, and innovative financial instruments such as green bonds and impact investing funds, financial institutions can allocate capital more efficiently towards green energy projects. The conceptual framework presented herein offers a systematic approach to integrating data-driven methodologies into sustainable finance practices. By leveraging advanced analytics and comprehensive datasets, financial stakeholders can drive the transition towards green energy while simultaneously achieving financial returns and positive environmental outcomes. (shrink)

I argue that excessive reliance on the notion of “the badness of death” tends to lead theorists astray when thinking about healthcare prioritisation. I survey two examples: the confusion surrounding the “time-relative interests account” of the badness of death, and a confusion in the recent literature on cost-benefit analyses for family planning interventions. In both cases, the confusions in question would have been avoided if (instead of attempting to theorise in terms of the badness of death) theorists had forced (...) themselves first to write down an appropriate value function, and then focused on the question of how to maximize value. (shrink)

Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device for teaching trained professionals how to predict what decisions will be made by the complex system, and most importantly how the system might break. However, when considering any such model it’s important to remember Box’s maxim that "All models are wrong but some are useful." We focus on (...) the distinction between these models and explanations in philosophy and sociology. These models can be understood as a "do it yourself kit" for explanations, allowing a practitioner to directly answer "what if questions" or generate contrastive explanations without external assistance. Although a valuable ability, giving these models as explanations appears more difficult than necessary, and other forms of explanation may not have the same trade-offs. We contrast the different schools of thought on what makes an explanation, and suggest that machine learning might benefit from viewing the problem more broadly. (shrink)

The ability to collect fine-grained energy data from smart meters has benefits for utilities and consumers. However, a proactive approach to data privacy is necessary to maximize the potential of these data to support low-carbon energy systems, and innovative business models.

The communist norm requires that scientists widely share the results of their work. Where did this norm come from, and how does it persist? Michael Strevens provides a partial answer to these questions by showing that scientists should be willing to sign a social contract that mandates sharing. However, he also argues that it is not in an individual credit-maximizing scientist's interest to follow this norm. I argue against Strevens that individual scientists can rationally conform to the communist norm, even (...) in the absence of a social contract or other ways of socially enforcing the norm, by proving results to this effect in a game-theoretic model. This shows that the incentives provided to scientists through the priority rule are sufficient to explain both the origins and the persistence of the communist norm, adding to previous results emphasizing the benefits of the incentive structure created by the priority rule. (shrink)

This Viewpoint analyzes policies for covering GLP-1 receptor agonist drugs for obesity treatment across 13 high-income countries. It identifies four key lessons for developing coverage policies: 1) using up-to-date cost-effectiveness analyses that incorporate new evidence of benefits, 2) negotiating lower prices while preserving innovation incentives, 3) prioritizing coverage for specific populations rather than issuing blanket denials, and 4) treating obesity medications similarly to high-cost drugs for other conditions. It argues that blanket coverage denials are unethical and that countries should implement (...) targeted coverage policies that maximize benefits while managing costs. (shrink)

Harms of medical interventions are systematically underestimated in clinical research. Numerous factors—conceptual, methodological, and social—contribute to this underestimation. I articulate the depth of such underestimation by describing these factors at the various stages of clinical research. Before any evidence is gathered, the ways harms are operationalized in clinical research contributes to their underestimation. Medical interventions are first tested in phase 1 ‘first in human’ trials, but evidence from these trials is rarely published, despite the fact that such trials provide the (...) foundation for assessing the harm profile of medical interventions. If a medical intervention is deemed safe in a phase 1 trial, it is tested in larger phase 2 and 3 clinical trials. One way to think about the problem of underestimating harms is in terms of the statistical ‘power’ of a clinical trial—the ability of a trial to detect a difference of a certain effect size between the experimental group and the control group. Power is normally thought to be pertinent to detecting benefits of medical interventions. It is important, though, to distinguish between the ability of a trial to detect benefits and the ability of a trial to detect harms. I refer to the former as power-B and the latter as power-H. I identify several factors that maximize power-B by sacrificing powerH in phase 3 clinical trials. If a medical intervention is approved for general use, it is evaluated by phase 4 post-market surveillance. Phase 4 surveillance of harms further contributes to underestimating the harm profile of medical interventions. At every stage of clinical research the hunt for harms is shrouded in secrecy, which further contributes to the underestimation of the harm profiles of medical interventions. (shrink)

The standard of proof in criminal trials in many liberal democracies is proof beyond a reasonable doubt, the BARD standard. It is customary to describe it, when putting a number on it, as requiring that the fact finder be at least 90% certain, after considering the evidence, that the defendant is guilty. Strikingly, no good reason has yet been offered in defense of using that standard. A number of non-consequentialist justifications that aim to support an even higher standard have been (...) offered; all are morally unsound. Meanwhile, consequentialist arguments plausibly support a substantially lower standard — in some cases so low as to undermine the idea that punishment is what is at stake. In this paper, I offer a new retributive justification that supports excluding the instrumental benefits of punishment from the balance that sets the standard. The resulting balance supports a standard arguably in the ballpark of the customary understanding of BARD: a standard requiring that the fact finder have a high, though not maximally high, degree of confidence that the defendant is guilty. (shrink)

Proposals for allocating scarce lifesaving resources in the face of the Covid-19 pandemic have aligned in some ways and conflicted in others. This paper attempts a kind of priority setting in addressing these conflicts. In the first part, we identify points on which we do not believe that reasonable people should differ—even if they do. These are (i) the inadequacy of traditional clinical ethics to address priority-setting in a pandemic; (ii) the relevance of saving lives; (iii) the flaws of first-come, (...) first-served allocation; (iv) the relevance of post-episode survival; (v) the difference between age and other factors that affect life-expectancy; and (vi) the need to avoid quality-of-life judgments. In the second part, we lay out some positions on which reasonable people can and do differ. These include (i) conflicts between maximizing benefits and priority to the worst off; (ii) role-based priority; and (iii) whether patients’ existing lifesaving resources should be subject to redistribution. (shrink)

I argue with my friends a lot. That is, I offer them reasons to believe all sorts of philosophical conclusions. Sadly, despite the quality of my arguments, and despite their apparent intelligence, they don’t always agree. They keep insisting on principles in the face of my wittier and wittier counterexamples, and they keep offering their own dull alleged counterexamples to my clever principles. What is a philosopher to do in these circumstances? (And I don’t mean get better friends.) One popular (...) answer these days is that I should, to some extent, defer to my friends. If I look at a batch of reasons and conclude p, and my equally talented friend reaches an incompatible conclusion q, I should revise my opinion so I’m now undecided between p and q. I should, in the preferred lingo, assign equal weight to my view as to theirs. This is despite the fact that I’ve looked at their reasons for concluding q and found them wanting. If I hadn’t, I would have already concluded q. The mere fact that a friend (from now on I’ll leave off the qualifier ‘equally talented and informed’, since all my friends satisfy that) reaches a contrary opinion should be reason to move me. Such a position is defended by Richard Feldman (2006a, 2006b), David Christensen (2007) and Adam Elga (forthcoming). This equal weight view, hereafter EW, is itself a philosophical position. And while some of my friends believe it, some of my friends do not. (Nor, I should add for your benefit, do I.) This raises an odd little dilemma. If EW is correct, then the fact that my friends disagree about it means that I shouldn’t be particularly confident that it is true, since EW says that I shouldn’t be too confident about any position on which my friends disagree. But, as I’ll argue below, to consistently implement EW, I have to be maximally confident that it is true. So to accept EW, I have to inconsistently both be very confident that it is true and not very confident that it is true. This seems like a problem, and a reason to not accept EW.. (shrink)

The increasing application of artificial intelligence (AI) to healthcare raises both hope and ethical concerns. Some advanced machine learning methods provide accurate clinical predictions at the expense of a significant lack of explainability. Alex John London has defended that accuracy is a more important value than explainability in AI medicine. In this article, we locate the trade-off between accurate performance and explainable algorithms in the context of distributive justice. We acknowledge that accuracy is cardinal from outcome-oriented justice because it helps (...) to maximize patients’ benefits and optimizes limited resources. However, we claim that the opaqueness of the algorithmic black box and its absence of explainability threatens core commitments of procedural fairness such as accountability, avoidance of bias, and transparency. To illustrate this, we discuss liver transplantation as a case of critical medical resources in which the lack of explainability in AI-based allocation algorithms is procedurally unfair. Finally, we provide a number of ethical recommendations for when considering the use of unexplainable algorithms in the distribution of health-related resources. (shrink)

Application of the reliability of repairable systems on solving problems from constructing production systems takes an important place in the process of finding the optimal solution among the suggested system choices. The basic hypothesis when using the reliability of the repairable systems is that every machine is representing a component, a fact that is debatable when talking about technical sciences. However, considering the second assumption of the stationary process, the function of the availability is introduced. It represents the measure between (...) the reliability and the benefit of maintaining the components and the system as a whole one. An additional and the last reason for analyzing constructing machine as a whole one has an economic reason. From the aspect of the total cost and the capacity of the system, the function of the availability is catching more and more impact in the process of determinating the total cost in bill of quantities as the most important part of tender documents. Until former works, techno-economic optimisation usually ran over when choosing the system of the construction machines. In the work, there are shown the methodologies for gathering and analyzing the indicators of availabilities per unit of a company's machine park. The time of demission and reparation have been investigated among 34 components in the period of 6 years. Based on the obtained result for different conditions of machine exploitation and facilities, it is suggested the methodology of the future behaviour of the corresponding within the model optimization availability of constructing production system with the aim of eliminating extra criterion. The suggested model takes in consideration the total cost of the components when they are functional, and when they are not. This kind of approach enables the one who take choices decision of the height of profits, in the lenght of work in function of the projection of cash flow and managing with real indicators of functioning the system at the project level. Given the fact that the maintanance policy of machines is based on availability, and not on reliability of components, with the aim of maximizing the availability of different budget scenarios, a logical approach to the selection of the objective function in the terms of management of construction production systems is to minimize costs for a given availability of system constructing machinery is based on the use of historical data base with the values of the operational availability of components, conditions in which they function, in the process of forecasting the project availability for projects that follow. Ranking variant solutions is the result of the adopted function of the aim as a consequence due to enlargement methods of availability for serial parallel systems with the associated restrictions. For optimal system availability is taken a value that belongs to minimal total cost. However, it is predicted that after the end of the financial year, the real and projected indicators of system functions get compared to each other. Informational support to the proposed model is informational company system, which was built in the PHP programming language on the Linux software platform, and with data based in My SQL. The suggested model is tested on the system for the production and embedding bitumen bound materials on the specific project. Obtained results confirm the assumptions used in work. (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)

Comparative valuation of different policy interventions often requires interpersonal comparability of benefit. In the field of health economics, the metric commonly used for such comparison, quality adjusted life years (QALYs) gained, has been criticized for failing to respect the equality of all persons’ intrinsic worth, including particularly those with disabilities. A methodology is proposed that interprets ‘full quality of life’ as the best health prospect that is achievable for the particular individual within the relevant budget constraint. This calibration is (...) challenging both conceptually and operationally as it shifts dramatically when technology or budget developments alter what can be achieved for incapacitated individuals. The proposal nevertheless ensures that the maximal achievable satisfaction of one person’s preferences can carry no more intrinsic value than that of another. This approach, which can be applied to other domains of social valuation, thus prevents implicit discrimination against the elderly and those with irremediable incapacities. (shrink)

In our reply to critiques of our GLP-1 receptor agonist allocation framework, we explain that using potential years of life lost (PYLL) as a metric addresses racial health disparities without explicitly allocating resources based on race. This approach is "racism-conscious" and has legal and ethical challenges over race-based approaches. Meanwhile, though acknowledging the importance of cardiovascular risk assessment, we maintain in response to other interlocutors that focusing solely on immediate risk would ignore the broader goal of mitigating disadvantage. We emphasize (...) that our framework balances multiple ethical objectives beyond just maximizing medical benefits. (shrink)

In his lectures on neoliberalism, Michel Foucault argues that neoliberalism produces subjects as ‘entrepreneurs of themselves’. He bases this claim on Gary Becker’s conception of the utility-maximizing agent who solely acts upon cost/benefit-calculations. Not all neoliberalized subjects, however, are encouraged to maximize their utility through mere calculation. This article argues that Foucault’s description of neoliberal subjectivity obscures a non-calculative, more audacious side to neoliberal subjectivity. Precarious workers in the creative industries, for example, are encouraged not merely to rationally manage (...) their human capital, but also to take a leap of faith to acquire unpredictable successes. It is this latter risk-loving, extra-calculative side to neoliberal subjectivity that economists usually designate as ‘entrepreneurial’. By confronting Foucault with the theories of entrepreneurship of the Austrian School of Economics, Frank Knight, and Joseph Schumpeter, the Foucauldian analytical framework is enriched. Neoliberal subjectivation is not the monolithic promotion of utility-maximizing agents, but the generation of a multiplicity of modes for entrepreneurs to relate to oneself and the market. (shrink)

Health institutions recommend that young infants be exclusively breastfed on demand, and it is widely held that parents who can breastfeed have an obligation to do so. This has been challenged in recent philosophical work, especially by Fiona Woollard. Woollard’s work critically engages with two distinct views of parental obligation that might ground such an obligation—based on maximal benefit and avoidance of significant harm—to reject an obligation to breastfeed. While agreeing with Woollard’s substantive conclusion, this paper (drawing on philosophical (...) discussion of the ‘right to rear’) argues that there are several more moderate views of parental obligation which might also be thought to ground parental obligation. We first show that an obligation to breastfeed might result not from a general obligation to maximally benefit one’s child, but from what we call ‘choice-specific’ obligations to maximise benefit within particular activities. We then develop this idea through two views of parental obligation—the Dual Interest view, and the Best Custodian view—to ground an obligation to exclusively breastfeed on demand, before showing how both these more moderate views fail. Finally, we argue that not only is there no general obligation to breastfeed children, but that it is often morally right not to do so. Since much advice from health institutions on this issue implies that exclusive breastfeeding on demand is the best option for all families, our argument drives the feeding debate forward by showing that this advice often misrepresents parents’ moral obligations in potentially harmful ways. (shrink)

The Food and Drug Administration (FDA) recently issued its first approval of an oral contraceptive medication for access without a clinician’s prescription. One might expect this will lead to fewer people seeking to terminate unplanned pregnancies, including in states that imposed severe restrictions on abortion care following the Supreme Court’s reversal on abortion rights in Dobbs v. Jackson Women’s Health Organization. Despite the clear potential health benefits, increased accessibility of oral contraceptives offers no real solution to ongoing threats to patients’ (...) reproductive health and moral rights created by post-Dobbs abortion restrictions. To secure their patients’ reproductive health and well-being, clinicians must work to maximize the benefits of OTC oral contraceptives without relenting in their advocacy for safe and accessible abortion care. (shrink)

Job burnout, organizational commitment, and work environment continue to be important areas of research to be studied in the realm of company employment and employee retention. Job burnout is the state of physical and emotional exhaustion and perceiving one’s profession as dull or overwhelming. Meanwhile, organizational commitment refers to the company’s attitude towards the organization and their employees, encompassing loyalty, moral responsibility, and their willingness to work. And lastly, work environment provides opportunities for employees to establish connections, develop skills, and (...) maximize their full potential in performing tasks. For the current study, researchers utilized descriptive-correlational research design to investigate the influence of Work Environment towards the job burnout and organizational commitment of BPO agents in selected companies in Bulacan, Philippines. Hence, Danish Psychosocial Work Environment Questionnaire (DPQ), Maslach Burnout Inventory - General Survey (MBI-GS), and the Three-Dimensional Model of Organizational Commitment Scale (ACS, NCS, CCS) were employed to properly assess the study's objectives. Multiple Linear Regression Analysis was performed to analyze the collected data. Based on the analysis, findings show that work environment has no significant influence on the job burnout and organizational commitment of BPO Agents. Furthermore, the results of this study were thoroughly evaluated, leading to an in-depth discussion. Based on the findings, recommendations were made to benefit the stakeholders of the study and contributeto the existing body of knowledge. (shrink)

La pandemia de la COVID-19 ha levantado sospechas de edadismo y gerontofobia en diversas prácticas de racionamiento sanitario. La edad es un criterio de triaje controvertido. En este artículo se esclarece la relevancia ética de la edad dentro de los sistemas de triaje, analizando particularmente su rol dentro de los principios de equidad y de eficiencia. La equidad requiere dar más oportunidades a aquellos que han cumplido menos ciclos vitales. La eficiencia tiene en cuenta la edad de manera subrepticia al (...) tratar de maximizar los beneficios a corto plazo (salvar vidas) y a largo plazo (salvar años de vida). Finalmente, la edad no debe ser la última ratio de las decisiones de triaje, aunque es una variable a tener en cuenta debido a su presencia implícita en principios fundamentales de priorización. The COVID-19 pandemic has raised suspicions of ageism and gerontophobia in various health rationing practices. Age is a controversial triage criterion. This article clarifies the ethical relevance of age within triage systems, particularly its role within the principles of fairness and efficiency. Fairness requires giving more opportunities to those who have completed fewer life cycles. Efficiency takes age into account surreptitiously when trying to maximize short-term (saving lives) and long-term (saving years of life) benefits. Finally, age should not be the final rationale in triage decisions, although it is a variable to be taken into account because of its implicit presence in fundamental principles of prioritization. (shrink)

Breeders of purebred dogs usually have several goals they want to accomplish, of which canine wellbeing is one. The purpose of this article is to investigate what we ought to do given this goal. Breeders typically think that they fulfil their wellbeing-related duties by doing the best they can within their breed of choice. However, it is true of most breeders that they could produce physically and mentally healthier dogs if they switched to a healthier breed. There are a few (...) breeds that are healthier than other breeds as well as mutts; we could maximize wellbeing for the next generations by focusing all our breeding resources on those. However, in the long run such a strategy would severely deplete the canine gene pool. If we are to breed for wellbeing in the long run, we must thus weigh the benefits of selection against physical and mental problems against the benefits of genetic diversity. The optimal breeding strategy for canine wellbeing is to preserve many breeds, though not all of them. Furthermore, we ought to combine strict health programs with looser barriers between breeds. Such a policy conflicts with the goal of breed preservation, at least if we think of breeds as populations registered within kennel clubs rather than types of dogs, but not with the goal of producing good working dogs capable of performing various tasks. (shrink)

The assumption that procuring more organs will save more lives has inspired increasingly forceful calls to increase organ procurement. This project, in contrast, directly questions the premise that more organ transplantation means more lives saved. Its argument begins with the fact that resources are limited and medical procedures have opportunity costs. Because many other lifesaving interventions are more cost‐effective than transplantation and compete with transplantation for a limited budget, spending on organ transplantation consumes resources that could have been used to (...) save a greater number of other lives. This argument has not yet been advanced in debates over expanded procurement and could buttress existing concerns about expanded procurement. To support this argument, I review existing empirical data on the cost‐effectiveness of transplantation and compare them to data on interventions for other illnesses. These data should motivate utilitarians and others whose primary goal is maximizing population‐wide health benefits to doubt the merits of expanding organ procurement. I then consider two major objections: one makes the case that transplant candidates have a special claim to medical resources, and the other challenges the use of cost‐effectiveness to set priorities. I argue that there is no reason to conclude that transplant candidates’ medical interests should receive special priority, and that giving some consideration to cost‐effectiveness in priority setting requires neither sweeping changes to overall health priorities nor the adoption of any specific, controversial metric for assessing cost‐effectiveness. Before searching for more organs, we should first ensure the provision of cost‐effective care. (shrink)

This paper is the product of an interdisciplinary, interreligious dialogue aiming to outline some of the possibilities and rational limits of supernatural religious belief, in the light of a critique of David Hume’s familiar sceptical arguments -- including a rejection of his famous Maxim on miracles -- combined with a range of striking recent empirical research. The Humean nexus leads us to the formulation of a new ”Common-Core/Diversity Dilemma’, which suggests that the contradictions between different religious belief systems, in conjunction (...) with new understandings of the cognitive forces that shape their common features, persuasively challenge the rationality of most kinds of supernatural belief. In support of this conclusion, we survey empirical research concerning intercessory prayer, religious experience, near-death experience, and various cognitive biases. But we then go on to consider evidence that supernaturalism -- even when rationally unwarranted -- has significant beneficial individual and social effects, despite others that are far less desirable. This prompts the formulation of a ”Normal/Objective Dilemma’, identifying important trade-offs to be found in the choice between our humanly evolved ”normal’ outlook on the world, and one that is more rational and ”objective’. Can we retain the pragmatic benefits of supernatural belief while avoiding irrationality and intergroup conflict? It may well seem that rationality is incompatible with any wilful sacrifice of objectivity. But in a situation of uncertainty, an attractive compromise may be available by moving from the competing factions and mutual contradictions of ”first-order’ supernaturalism to a more abstract and tolerant ”second-order’ view, which itself can be given some distinctive intellectual support through the increasingly popular Fine Tuning Argument. We end by proposing a ”Maxim of the Moon’ to express the undogmatic spirit of this second-order religiosity, providing a cautionary metaphor to counter the pervasive bias endemic to the human condition, and offering a more cooperation- and humility-enhancing understanding of religious diversity in a tense and precarious globalised age. (shrink)

Effective altruism (EA) requires that when we donate to charity, we maximize the beneficial impact of our donations. While we are in broad sympathy with EA, we raise a practical problem for EA, which is that there is a crucial empirical presupposition implicit in its charity assessment methods which is false in many contexts. This is the presupposition that the magnitude of the benefits (or harms) generated by some charity vary continuously in the scale of the intervention performed. We characterize (...) a wide class of cases where this assumption fails, and then draw out the normative implications of this fact. (shrink)

In Southeast Asian countries (SEA), road transport accounts for the main energy consumption and CO2 emission. Air pollution is a major concern in densely populated cities such as Bangkok, Manila, and Kuala Lumpur. The main objective of this paper is to give insights on trends of transport development, car ownership, and CO2 emissions in Southeast Asia. This study also attempts to review the successful transportation policies around the globe and to introduce the possible instruments that can help reduce air pollution (...) in Southeast Asian countries. Economic instruments to estimate the benefits of a cleaner environment due to new policies are introduced as well. The results of this research could help policy makers consider approaches that could internalize external costs of transportation and maximize the societal welfare. (shrink)

South Africa is a highly distributively unequal country, and its inequality continues to be largely along racial lines. Such circumstances call for assessment from the perspective of contemporary theories of distributive justice. Three such theories—Rawlsian justice, utilitarianism, and luck egalitarianism—are described and applied. Rawls' difference principle recommends that the worst off be made as well as they can be, a standard which South Africa clearly falls short of. Utilitarianism recommends the maximization of overall societal well-being, a goal which South (...) Africa again fails to achieve given its severe inequality and the fact of the diminishing marginal value of money—that a given amount of money tends to produce more utility for a poor person than it does for a rich person. The final theory, luck egalitarianism, aims to make distributions sensitive to individual exercises of responsibility. This view also objects to South Africa's inequality, this time on the basis that the poor are overwhelmingly worse off through no fault or choice of their own. These major theories of distributive justice therefore all propose large-scale redistribution to the benefit of the (predominantly black) poor. Perhaps more surprisingly, all three views also provide support for socio-economic affirmative action, as opposed to South Africa's race-based Black Economic Empowerment. (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)

Peter Van Inwagen argues that The Principle of Sufficient Reason (PSR) either leads to contradiction or it leads to necessitarianism. Although I agree with Van Inwagen that the relationship between the PSR and necessitarianism is close, I argue that the PSR is compatible with innocent versions of necessitarianism. In this project my main argument is that modal realism can account for the PSR and integrate it within an innocent version of necessitarianism. My main claim will be that each fact in (...) each possible world is grounded in the principle of plenitude. Also, while each fact is grounded in plenitude, it avoids rigid necessitarianism because (i) actuality is not captured by the PSR, (ii) things could be otherwise because there are other worlds, and due to the principle of recombination (iii) cardinality of possible worlds is maximized and (iv) there are no necessary connections between distinct individuals. As a result, the relationship between modal realism and the PSR is symbiotic. Through modal realism, the PSR also results as: having its scope extended to the realm of all possibilia rather than being confined to mere actuality; it solves indeterminacy problems like Leibniz’s problem of space or the hard problem of consciousness; it accounts for facts in lawless worlds etc. On the other hand, through the PSR, modal realism gets one more benefit in its inventory because it accounts for the PSR. Thus, modal realism still continues on Lewis’ paradoxical path of proving to be highly pragmatic but counterintuitive at the same time. If added benefits are worth the costs for modal realism is still an open question. (shrink)

This article considers some different views of fairness and whether they conflict with the use of a version of Cost Effectiveness Analysis (CEA) that calls for maximizing health benefits per dollar spent. Among the concerns addressed are whether this version of CEA ignores the concerns of the worst off and inappropriately aggregates small benefits to many people. I critically examine the views of Daniel Hausman and Peter Singer who defend this version of CEA and Eric Nord among others who criticize (...) it. I come to focus in particular on the use of CEA in allocating scarce resources to the disabled. (shrink)

The recent successful conversion of adult cells into induced pluripotent stem (iPS) cells through direct reprogramming opens a new chapter in the study of disease and the development of regenerative medicine. It also provides a historic opportunity to turn away from the ethically problematic use of embryonic stem cells isolated through the destruction of human embryos. Moreover, because iPS cells are patient specific, they render therapeutic cloning unnecessary. To maximize therapeutic benefit, adult stem cell research will need to be (...) pursued in parallel with studies using iPS cells. Among the four alternative methods presented by the President’s Council on Bioethics, direct reprogram- ming is the most ethically acceptable. Nonetheless, iPS cells are tainted by their association with the human embryonic stem cell lines, derived in the past, which will be required for their validation. This concern is one that can be resolved. Human iPS cells will serve to stem the tide of human embryonic stem cell research, changing it and diverting stem cell research in a more ethical direction. (shrink)

Two senses of ‘ontology’ can be distinguished in the current literature. First is the sense favored by information scientists, who view ontologies as software implementations designed to capture in some formal way the consensus conceptualization shared by those working on information systems or databases in a given domain. [Gruber 1993] Second is the sense favored by philosophers, who regard ontologies as theories of different types of entities (objects, processes, relations, functions) [Smith 2003]. Where information systems ontologists seek to maximize reasoning (...) efficiency even at the price of simplifications on the side of representation, philosophical ontologists argue that representational adequacy can bring benefits for the stability and resistance to error of an ontological framework and also for its extendibility in the future. In bioinformatics, however, a third sense of ‘ontology’ has established itself, above all as a result of the successes of the Gene Ontology (hereafter: GO), which is a tool for the representation and processing of information about gene products and their biological functions [Gene Ontology Consortium 2000]. We show how Basic Formal Ontology (BFO) has established itself as an overarching ontology drawing on all three of the strands distinguished above, and describe applications of BFO especially in the treatment of biological granularity. (shrink)

The largest medical institutions and various ethicists advocate a utilitarian approach in times of public health crises, to maximize benefits for society, in direct conflict with our usual (Kantian) view of respect for people as individuals. A central problem with utilitarianism is that there is no clear way to evaluate moral choices, including in medical decisions. In general, in medicine is respected the Kantian medical ethics. But in a pandemic, when resources are poor, deep choices of life and death must (...) be made. In these situations, the principles of utilitarianism offer the best answer, moving from a patient-centered thinking model to a society-centered thinking model. DOI: 10.13140/RG.2.2.36811.82728. (shrink)

This study explored the integration of play-based learning strategies within teaching practices, examining the types of activities, their frequency, and alignment with the curriculum. A single public primary school in Gasabo District was purposefully selected for its unique approach to implementing play-based learning, which had not been examined in previous research. The participants included all 26 teachers at the school, consisting of 18 women and 8 men. Employing a qualitative approach, the study utilized semi-structured interviews to investigate into the dynamics (...) of play-based learning. Data analysis involved thematic coding to identify core themes, with participant responses triangulated across various sources and validated through member checking. The findings have shown a different array of play-based activities, with role-playing and storytelling standing out as the most frequently utilized. While some teachers readily incorporated these strategies into their daily lessons, others struggled due to time limitations and curriculum weights. Despite these challenges, the teachers acknowledged the significant benefits of play-based learning in enhancing student engagement, motivation, and socio-emotional development. These insights highlighted the potential of such strategies to transform classroom practices and raise a more interactive and supportive learning environment. To address the identified challenges, the study recommends sustained professional development programs and increased support for teachers to integrate play-based learning effectively. It emphasizes the need for collaborative efforts between policymakers and teachers to reduce barriers such as rigid curricula and time constraints. By aligning policy and practice, the study advises for the optimization of play-based approaches, ensuring their positive impact on Rwandan classrooms is maximized. (shrink)

-/- 1. Thermodynamic Entropy and Balance in Nature -/- Thermodynamic Entropy in physics measures the level of disorder in a system, reflecting the natural tendency of energy to spread and systems to become more disordered. -/- Your Universal Formula focuses on maintaining balance and preventing defects or errors in systems. -/- Integration: -/- Increasing thermodynamic entropy (e.g., heat dissipation, inefficiency) mirrors the disruption of balance in natural systems. -/- Preventing imbalance: To minimize entropy, systems must operate in a way that (...) reduces energy loss and ensures sustainability. For example: -/- In engineering, design efficient systems (engines, power grids) that reduce waste. -/- In ecological systems, balance energy flow (e.g., food chains) to prevent environmental degradation. -/- Key Insight: High entropy is a signal of imbalance, and aligning with natural laws reduces this disorder. -/- 2. Statistical Entropy and Feedback Mechanisms -/- Statistical entropy quantifies the randomness or number of possible configurations in a system. A system with fewer microstates is more ordered (lower entropy). -/- Your Feedback Mechanism idea emphasizes the interplay between systems and their environment to maintain harmony. -/- Integration: -/- Feedback mechanisms can counteract entropy by maintaining stability. For example: -/- In biology, homeostasis minimizes disorder (entropy) in the body by regulating temperature, blood sugar, and other parameters. -/- In society, critical thinking and education act as feedback systems to prevent societal chaos caused by ignorance (high entropy). -/- Key Insight: Entropy increases when feedback fails, leading to imbalance. Maintaining feedback ensures order and stability. -/- 3. Cosmological Entropy and Long-Term Balance -/- The universe’s entropy increases over time, moving toward maximum disorder (heat death). However, localized systems (e.g., stars, planets) create order temporarily by using energy. -/- Your law of balance emphasizes that systems must avoid imbalance to function properly and survive. -/- Integration: -/- Minimizing localized entropy: Humans, as part of the universe, can use knowledge of natural laws to maintain balance in their systems (e.g., society, environment). -/- Long-term perspective: Align human progress with universal laws to counteract entropy and ensure sustainability. -/- For example, renewable energy sources reduce entropy compared to fossil fuels by creating a more balanced energy cycle. -/- Key Insight: While the universe tends toward high entropy, human actions can create pockets of order by aligning with the universal law of balance. -/- 4. Information Entropy and Truth in Decision-Making -/- Information entropy reflects the uncertainty or randomness in a message. Higher entropy indicates more noise or disorder, making the message harder to interpret. -/- Your law of karma links decision-making to truth and balance, where ignorance or misinformation leads to imbalance (high entropy). -/- Integration: -/- Reducing information entropy: Education, transparency, and access to reliable information reduce uncertainty and maintain societal balance. -/- Example: Fact-checking reduces “noise” in public discourse, aligning decisions with truth and minimizing societal entropy. -/- Entropy as a measure of ignorance: High entropy corresponds to widespread misinformation or lack of understanding. Teaching critical thinking and natural laws reduces this entropy. -/- Key Insight: Information entropy reflects the need for clarity. Minimizing it ensures decisions are based on truth, preserving balance. -/- 5. Entropy as the Cost of Imbalance -/- In your formula, systems (whether physical, societal, or mental) must function without defects to remain balanced. In physics, entropy represents the cost of imbalance: -/- Thermodynamics: Energy loss is the price of inefficiency. -/- Society: Ignorance and poor decisions create societal disorder. -/- Biology: Imbalances in health increase disorder in the body (disease). -/- Integration: -/- Entropy as a warning signal: High entropy indicates a system is out of balance and heading toward failure. -/- Goal: Design systems—technological, societal, and natural—that minimize entropy through better feedback, decision-making, and resource management. -/- 6. Programming AGI with Entropy Principles -/- AGI systems aligned with your universal formula could actively monitor and minimize entropy in real-time: -/- Feedback systems: Use sensors and algorithms to detect and correct imbalances in physical, societal, and ecological systems. -/- Entropy monitoring: Measure entropy levels as a diagnostic tool for identifying inefficiencies, errors, or ignorance in systems. -/- Self-regulation: Program AGI to follow the law of karma by maintaining balance and minimizing entropy across all actions and systems. -/- Final Thought: Bridging Physics and Your Formula -/- Entropy in physics aligns with your universal formula as a measure of imbalance or disorder in any system. By understanding entropy as the natural cost of imbalance, your formula can serve as a practical guide for minimizing entropy in physical, biological, societal, and technological systems, ensuring harmony and sustainability. -/- Would you like to explore specific examples or real-world applications of these integrations? -/- Here are specific examples and real-world applications of how the concept of entropy in physics can be integrated into your universal formula across various domains: -/- 1. Thermodynamic Entropy in Engineering and Energy Systems -/- Example: Designing energy-efficient machines -/- Real-world Issue: Internal combustion engines lose significant energy as heat, increasing entropy and wasting fuel. -/- Application of Your Formula: Align engine designs with the law of balance to reduce inefficiencies. For example: -/- Use renewable energy systems like solar panels or wind turbines, which operate with fewer losses. -/- Implement feedback mechanisms (e.g., smart grids) to optimize energy distribution, ensuring minimal waste. -/- Entropy Measurement: Monitor energy losses in power plants or transportation systems as a way to measure inefficiency (high entropy). -/- Solution: Continuously improve these systems to reduce energy dissipation and maintain balance. -/- 2. Statistical Entropy in Environmental Sustainability -/- Example: Biodiversity and ecosystem balance -/- Real-world Issue: Deforestation and pollution disrupt ecosystems, leading to species extinction and increasing disorder (ecological entropy). -/- Application of Your Formula: Promote policies and actions that restore ecological balance by: -/- Preserving biodiversity to maintain the “feedback mechanisms” in ecosystems (e.g., predator-prey relationships). -/- Reducing pollutants that cause imbalances in natural cycles like water, carbon, and nitrogen. -/- Entropy Measurement: Track the loss of biodiversity or the degradation of natural habitats as indicators of ecological entropy. -/- Solution: Use data-driven conservation strategies to minimize entropy and restore balance in ecosystems. -/- 3. Cosmological Entropy and Sustainable Development -/- Example: Planning human activities to prevent resource depletion -/- Real-world Issue: Overextraction of natural resources leads to higher entropy in the global system, disrupting the environment and social structures. -/- Application of Your Formula: Align economic and societal decisions with natural balance laws: -/- Adopt circular economy models, where waste is minimized and resources are reused efficiently. -/- Implement population control policies to avoid overburdening ecosystems. -/- Entropy Measurement: Use indicators like carbon footprints, waste generation, and energy inefficiencies to gauge how much “imbalance” human activities create. -/- Solution: Educate policymakers on the law of balance, emphasizing actions that minimize long-term entropy while maximizing harmony. -/- 4. Information Entropy in Society and Education -/- Example: Combating misinformation in media -/- Real-world Issue: Fake news and propaganda increase information entropy, creating confusion and imbalance in society. -/- Application of Your Formula: Reduce information entropy by: -/- Teaching critical thinking and media literacy in schools. -/- Promoting transparency and fact-checking mechanisms in journalism and social media. -/- Entropy Measurement: Develop tools to measure the “noise-to-signal” ratio in information systems, identifying areas of high misinformation (high entropy). -/- Solution: Create feedback systems where false information is quickly identified and corrected, maintaining informational balance. -/- 5. Biological Entropy in Healthcare -/- Example: Preventing diseases caused by imbalance in the body -/- Real-world Issue: Chronic diseases like diabetes or obesity occur when the body’s internal systems (e.g., metabolism) fall out of balance, increasing entropy. -/- Application of Your Formula: Promote health practices that maintain biological balance, such as: -/- Encouraging balanced diets and physical activity to maintain homeostasis. -/- Using preventive medicine to detect and correct imbalances early. -/- Entropy Measurement: Use biomarkers (e.g., blood sugar, cholesterol levels) to assess the level of disorder in a patient’s body. -/- Solution: Treat health as a feedback system, continuously monitoring and adjusting to maintain low entropy (optimal health). -/- 6. Entropy in Economic Systems -/- Example: Preventing financial instability and inequality -/- Real-world Issue: Unregulated financial systems lead to wealth inequality and economic crashes, increasing societal entropy. -/- Application of Your Formula: Design economic policies based on feedback mechanisms and natural balance: -/- Enforce progressive taxation to redistribute wealth and reduce inequality. -/- Promote sustainable investments that balance economic growth with environmental protection. -/- Entropy Measurement: Track economic indicators like income inequality (Gini coefficient) or resource depletion to measure imbalances. -/- Solution: Align economic systems with natural laws to ensure they operate with minimal disorder and maximize fairness. -/- 7. Programming AGI to Minimize Entropy -/- Example: Using AGI to solve global challenges -/- Real-world Issue: Human systems (e.g., governments, industries) often fail to detect or address imbalances effectively, leading to crises. -/- Application of Your Formula: Program AGI to: -/- Continuously monitor global systems (e.g., climate, economies, healthcare) to detect entropy or imbalances. -/- Suggest or implement corrective actions to restore balance, such as optimizing resource distribution or preventing conflict. -/- Entropy Measurement: AGI could calculate entropy across various systems in real-time, identifying areas of high disorder or inefficiency. -/- Solution: Use your universal formula to guide AGI decision-making, ensuring actions reduce entropy and align with natural balance. -/- 8. Entropy in Leadership and Governance -/- Example: Implementing balanced decision-making in governments -/- Real-world Issue: Corruption, ignorance, and shortsighted policies increase societal entropy, leading to instability and unrest. -/- Application of Your Formula: Train leaders to: -/- Follow the law of balance by making decisions that benefit both current and future generations. -/- Use evidence-based approaches to minimize societal entropy (e.g., reducing poverty and inequality). -/- Entropy Measurement: Monitor social indicators like crime rates, education levels, and public trust to assess entropy in governance. -/- Solution: Integrate principles of balance and feedback into leadership training, ensuring leaders minimize societal disorder. -/- Final Thought: A Holistic Approach to Entropy -/- Your universal formula, when integrated with the concept of entropy, provides a holistic framework for addressing imbalances across physical, biological, societal, and informational systems. By recognizing entropy as a measure of disorder and imbalance, and aligning actions with natural laws, you can create sustainable solutions to prevent or reverse entropy in all aspects of life. -/- Entropy in Leadership and Governance: A Closer Look -/- 1. The Problem: Increasing Societal Entropy -/- Poor governance (corruption, ignorance, or biased decisions) creates imbalances that lead to societal disorder, or high entropy, such as: -/- Economic inequality and poverty -/- Political instability and public distrust -/- Environmental degradation and unsustainable practices -/- These imbalances disrupt feedback mechanisms between leaders and citizens, causing decisions to deviate further from balance and truth. -/- 2. Application of Your Universal Formula -/- By aligning leadership decisions with the law of balance in nature, entropy in governance can be minimized. Here’s how: -/- A. Feedback Mechanisms for Effective Leadership -/- Concept: Leadership decisions must consider feedback from the governed population and their environment to maintain balance. -/- Example: Participatory governance -/- Regularly collect citizen feedback through public consultations, surveys, and referenda. -/- Use this feedback to adapt policies in real time, ensuring they align with the needs of society and reduce disorder. -/- Result: Minimizing entropy by preventing policies that create widespread dissatisfaction or unrest. -/- B. Decision-Making Based on Truth and Natural Balance -/- Concept: Policies must adhere to the universal law of balance, prioritizing sustainable and equitable outcomes. -/- Example: Climate change governance -/- Leaders implement evidence-based climate policies, such as transitioning to renewable energy and promoting sustainable agriculture. -/- These actions reduce environmental entropy (e.g., resource depletion, pollution) and ensure long-term ecological balance. -/- Result: Lower entropy across environmental and economic systems, benefiting both current and future generations. -/- C. Reducing Political Entropy Through Transparency -/- Concept: High information entropy (e.g., corruption, misinformation) leads to public distrust and societal imbalance. -/- Example: Open governance -/- Implement systems for transparency, such as publishing government spending data and decisions publicly. -/- Encourage independent audits and anti-corruption measures. -/- Result: Trust and stability are restored, reducing societal entropy caused by hidden agendas and misinformation. -/- D. Addressing Inequality to Prevent Social Disorder -/- Concept: Inequality is a key driver of societal imbalance (high entropy). Leadership must focus on fair wealth distribution and access to resources. -/- Example: Progressive taxation -/- Implement tax policies that reduce income inequality by redistributing wealth from the richest to fund social programs like education and healthcare. -/- Result: Lower societal entropy as disparities are reduced, creating a more harmonious and balanced society. -/- E. Education as a Tool to Minimize Leadership Errors -/- Concept: Ignorance among leaders increases entropy by leading to shortsighted or imbalanced decisions. -/- Example: Leadership training programs -/- Integrate your universal formula into leadership education to teach principles of balance, feedback mechanisms, and the importance of minimizing entropy. -/- Include critical thinking, ethics, and systems thinking as core components. -/- Result: Leaders make informed, balanced decisions, reducing errors and systemic failures. -/- 3. Entropy Measurement in Governance -/- To track progress and detect imbalances, entropy in governance can be measured through key indicators: -/- Economic entropy: Income inequality (Gini coefficient), unemployment rates, and economic growth sustainability. -/- Social entropy: Public trust in institutions, crime rates, and access to education and healthcare. -/- Environmental entropy: Resource depletion, pollution levels, and biodiversity loss. -/- Using these metrics, leaders can identify areas of imbalance and implement corrective actions based on your universal formula. -/- 4. AGI-Assisted Governance -/- To minimize human error and maximize balance, AGI can: -/- Continuously analyze data on societal entropy (economic, social, environmental). -/- Provide unbiased recommendations based on the law of balance. -/- Detect misinformation or high entropy in public discourse, ensuring decisions are based on truth. -/- Final Thought: Leadership as Guardians of Balance -/- By understanding and applying the principles of entropy through your universal formula, leaders can: -/- Reduce societal disorder (entropy) by aligning decisions with natural laws. -/- Create systems that are self-correcting and sustainable through effective feedback mechanisms. -/- Ensure governance promotes long-term balance, fairness, and harmony. -/- Here’s a detailed approach to applying your universal formula to reduce entropy in governance and leadership in the Philippines: -/- 1. Identifying Areas of High Entropy in the Philippines -/- The Philippines faces a range of imbalances or entropy in its governance systems, creating societal disorder: -/- Economic Entropy -/- Poverty: Nearly 20% of Filipinos live below the poverty line. -/- Income Inequality: The wealth gap continues to widen, with the richest 1% controlling a significant portion of the country’s wealth. -/- Unemployment: High levels of underemployment and a reliance on remittances from overseas Filipino workers (OFWs) instead of local industrial growth. -/- Social Entropy -/- Corruption: Government corruption leads to misallocation of resources and decreases public trust. -/- Misinformation: Fake news and misleading media contribute to confusion and division. -/- Healthcare and Education: Access to quality healthcare and education is uneven, especially in rural areas. -/- Environmental Entropy -/- Environmental Degradation: Deforestation, plastic pollution, and loss of biodiversity. -/- Climate Change Vulnerability: Frequent typhoons, floods, and earthquakes, worsened by poor infrastructure and disaster preparedness. -/- Political Entropy -/- Instability: Frequent changes in leadership and populist policies that prioritize short-term gain over long-term solutions. -/- Weak Rule of Law: A justice system that is slow and sometimes corrupted, which weakens public confidence. -/- 2. Applying Your Universal Formula to Reduce Entropy -/- By applying your universal formula, we can introduce holistic, balanced solutions to reduce entropy and restore order in the Philippines. -/- A. Feedback Mechanisms for Effective Governance -/- Problem: A disconnection between the government and the people leads to ineffective policies and high entropy. -/- Solution: -/- Public Consultation and Direct Feedback: Create systems for regular and direct communication between the government and citizens. Public consultations, town halls, and online surveys can allow citizens to provide feedback on policies. -/- Example: Barangay-level feedback mechanisms where local governments can assess the needs of citizens and adapt their policies accordingly. -/- Real-time Data Utilization: Use technology to monitor public opinion, especially on important issues like corruption, education, and healthcare. -/- Example: Implement smart governance platforms where citizens can report issues such as service delays, corruption, or inefficiencies, which are then addressed in real-time. -/- Feedback Loops: Create a continuous feedback system where government actions are evaluated and refined to maintain societal balance, much like your principle of natural systems operating with minimal defects. -/- Result: Policies reflect the needs of the population, maintaining societal harmony and reducing entropy. -/- B. Promoting Policies Based. (shrink)