Population Axiology
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Effective Altruism William Macaskill and Theron Pummer
1 Effective Altruism William MacAskill and Theron Pummer Climate change is on course to cause millions of deaths and cost the world economy trillions of dollars. Nearly a billion people live in extreme poverty, millions of them dying each year of easily preventable diseases. Just a small fraction of the thousands of nuclear weapons on hair‐trigger alert could easily bring about global catastrophe. New technologies like synthetic biology and artificial intelligence bring unprece dented risks. Meanwhile, year after year billions and billions of factory‐farmed ani mals live and die in misery. Given the number of severe problems facing the world today, and the resources required to solve them, we may feel at a loss as to where to even begin. The good news is that we can improve things with the right use of money, time, talent, and effort. These resources can bring about a great deal of improvement, or very little, depending on how they are allocated. The effective altruism movement consists of a growing global community of peo ple who use reason and evidence to assess how to do as much good as possible, and who take action on this basis. Launched in 2011, the movement now has thousands of members, as well as influence over billions of dollars. The movement has substan tially increased awareness of the fact that some altruistic activities are much more cost‐effective than others, in the sense that they do much more good than others per unit of resource expended. According to the nonprofit organization GiveWell, it costs around $3,500 to prevent someone from dying of malaria by distributing bed nets. -
Introduction to Philosophy. Social Studies--Language Arts: 6414.16. INSTITUTION Dade County Public Schools, Miami, Fla
DOCUMENT RESUME ED 086 604 SO 006 822 AUTHOR Norris, Jack A., Jr. TITLE Introduction to Philosophy. Social Studies--Language Arts: 6414.16. INSTITUTION Dade County Public Schools, Miami, Fla. PUB DATE 72 NOTE 20p.; Authorized Course of Instruction for the Quinmester Program EDRS PRICE MF-$0.65 HC-$3.29 DESCRIPTORS Course Objectives; Curriculum Guides; Grade 10; Grade 11; Grade 12; *Language Arts; Learnin4 Activities; *Logic; Non Western Civilization; *Philosophy; Resource Guides; Secondary Grades; *Social Studies; *Social Studies Units; Western Civilization IDENTIFIERS *Quinmester Program ABSTRACT Western and non - western philosophers and their ideas are introduced to 10th through 12th grade students in this general social studies Quinmester course designed to be used as a preparation for in-depth study of the various schools of philosophical thought. By acquainting students with the questions and categories of philosophy, a point of departure for further study is developed. Through suggested learning activities the meaning of philosopky is defined. The Socratic, deductive, inductive, intuitive and eclectic approaches to philosophical thought are examined, as are three general areas of philosophy, metaphysics, epistemology,and axiology. Logical reasoning is applied to major philosophical questions. This course is arranged, as are other quinmester courses, with sections on broad goals, course content, activities, and materials. A related document is ED 071 937.(KSM) FILMED FROM BEST AVAILABLE COPY U S DEPARTMENT EDUCATION OF HEALTH. NAT10N41 -
Study of Ontology, Epistemology and Axiology on Management
The Second International Conference on Entrepreneurship STUDY OF ONTOLOGY, EPISTEMOLOGY AND AXIOLOGY ON MANAGEMENT Rahmat Setiawan1 Airlangga University, Surabaya INDONESIA Email: [email protected] ABSTRACT There is still a difference of opinion among experts in the field of management of what is meant by management, namely whether the management is a science, an art or a profession. In addition, the management theory and studies have also experienced rapid growth, especially until the 19th century until the present. These developments have given rise to various groups of schools of thought about the management, which is a group of classical management perspective, a group of behavior management perspective, and a group of quantitative management perspective. Therefore, it is necessary to study on the development of management in terms of the philosophy of science perspective. By doing this assessment, management will be studied ontological, epistemological and axiological. Ontologically, management is the science, art and profession of work done through others. Material object is a behavior management work done through others. In management development, ontologically most experts view reality of social management in management as something objective, not subjective. Epistemologically, in management development, the approach most widely used by management experts is a deductive approach. However, the trend also shows that the inductive approach is also widely used lately. In axiological, largely through the efforts of study and research in the development of management is not value-free because the paradigm used by most bear management experts in developing management are positivist or functionalist paradigm. However, in applying the results of research to take a policy, then the leader of the company must still pay attention to the values of ethics and humanity. -
Formal Axiology and the Philosophy of Social Science; Esp., Political Science
Formal Axiology and the Philosophy of Social Science; esp., Political Science Introduction In the 22 centuries from Aristotle to Galileo, man’s way of life, and knowledge of nature, changed very little compared to the explosion of invention and discovery in the mere four centuries since Galileo. According to philosopher of science, R.S. Hartman, Galileo empowered humanity to make such progress when he “created the empirico-mathematical world picture;” that is, the worldview of natural science.1 During the Scientific Revolution, the European sense of reality was transformed from a dream-like condition under the control of “God’s Will,” and which only He could fully understand, to sets of processes which could be understood and explained in precise mathematical formulas. Natural philosophy, prior to Galileo, offered “explanations” of natural phenomena, but without much precision. For example, Aristotle defined “movement” as “the transition from potentiality to actuality.” This was accepted and studied for centuries. But Galileo re-defined “motion,” so that it became mathematically measurable. Rather than the vagaries of “realizing potential,” Galileo offered the formula V=s/t. He showed that by measuring the space (s) traversed by an object, and the time (t) it took, a precise measurement of speed, or velocity (V), could be calculated. Now motion was much less a mystery. Hartman notes that “Galileo’s formula led to a multitude of consequences; [eventually including] the systems of Newton and Einstein.”2 Galileo thus changed the way of thinking about nature from vague philosophical speculation to a method applying precise formal analysis and explanation. That shift in the way of thinking made possible all that followed. -
GPI's Research Agenda
A RESEARCH AGENDA FOR THE GLOBAL PRIORITIES INSTITUTE Hilary Greaves, William MacAskill, Rossa O’Keeffe-O’Donovan and Philip Trammell February 2019 (minor changes July 2019) We acknowledge Pablo Stafforini, Aron Vallinder, James Aung, the Global Priorities Institute Advisory Board, and numerous colleagues at the Future of Humanity Institute, the Centre for Effective Altruism, and elsewhere for their invaluable assistance in composing this agenda. 1 Table of Contents Introduction 3 GPI’s vision and mission 3 GPI’s research agenda 4 1. The longtermism paradigm 6 1.1 Articulation and evaluation of longtermism 6 1.2 Sign of the value of the continued existence of humanity 8 1.3 Mitigating catastrophic risk 10 1.4 Other ways of leveraging the size of the future 12 1.5 Intergenerational governance 14 1.6 Economic indices for longtermists 16 1.7 Moral uncertainty for longtermists 18 1.8 Longtermist status of interventions that score highly on short-term metrics 19 2. General issues in global prioritisation 21 2.1 Decision-theoretic issues 21 2.2 Epistemological issues 23 2.3 Discounting 24 2.4 Diversification and hedging 28 2.5 Distributions of cost-effectiveness 30 2.6 Modelling altruism 32 2.7 Altruistic coordination 33 2.8 Individual vs institutional actors 35 Bibliography 38 Appendix A. Research areas for future engagement 46 A.1 Animal welfare 46 A.2 The scope of welfare maximisation 48 Appendix B. Closely related areas of existing academic research 51 B.1 Methodology of cost-benefit analysis and cost-effectiveness analysis 51 B.2 Multidimensional economic indices 51 B.3 Infinite ethics and intergenerational equity 53 B.4 Epistemology of disagreement 53 B.5 Demandingness 54 B.6 Forecasting 54 B.7 Population ethics 55 B.8 Risk aversion and ambiguity aversion 55 B.9 Moral uncertainty 57 1 B.10 Value of information 58 B.11 Harnessing and combining evidence 59 B.12 The psychology of altruistic decision-making 60 Appendix C. -
The Definition of Effective Altruism
OUP CORRECTED PROOF – FINAL, 19/08/19, SPi 1 The Definition of Effective Altruism William MacAskill There are many problems in the world today. Over 750 million people live on less than $1.90 per day (at purchasing power parity).1 Around 6 million children die each year of easily preventable causes such as malaria, diarrhea, or pneumonia.2 Climate change is set to wreak environmental havoc and cost the economy tril- lions of dollars.3 A third of women worldwide have suffered from sexual or other physical violence in their lives.4 More than 3,000 nuclear warheads are in high-alert ready-to-launch status around the globe.5 Bacteria are becoming antibiotic- resistant.6 Partisanship is increasing, and democracy may be in decline.7 Given that the world has so many problems, and that these problems are so severe, surely we have a responsibility to do something about them. But what? There are countless problems that we could be addressing, and many different ways of addressing each of those problems. Moreover, our resources are scarce, so as individuals and even as a globe we can’t solve all these problems at once. So we must make decisions about how to allocate the resources we have. But on what basis should we make such decisions? The effective altruism movement has pioneered one approach. Those in this movement try to figure out, of all the different uses of our resources, which uses will do the most good, impartially considered. This movement is gathering con- siderable steam. There are now thousands of people around the world who have chosen -
Sharing the World with Digital Minds1
Sharing the World with Digital Minds1 (2020). Draft. Version 1.8 Carl Shulman† & Nick Bostrom† [in Clarke, S. & Savulescu, J. (eds.): Rethinking Moral Status (Oxford University Press, forthcoming)] Abstract The minds of biological creatures occupy a small corner of a much larger space of possible minds that could be created once we master the technology of artificial intelligence. Yet many of our moral intuitions and practices are based on assumptions about human nature that need not hold for digital minds. This points to the need for moral reflection as we approach the era of advanced machine intelligence. Here we focus on one set of issues, which arise from the prospect of digital minds with superhumanly strong claims to resources and influence. These could arise from the vast collective benefits that mass-produced digital minds could derive from relatively small amounts of resources. Alternatively, they could arise from individual digital minds with superhuman moral status or ability to benefit from resources. Such beings could contribute immense value to the world, and failing to respect their interests could produce a moral catastrophe, while a naive way of respecting them could be disastrous for humanity. A sensible approach requires reforms of our moral norms and institutions along with advance planning regarding what kinds of digital minds we bring into existence. 1. Introduction Human biological nature imposes many practical limits on what can be done to promote somebody’s welfare. We can only live so long, feel so much joy, have so many children, and benefit so much from additional support and resources. Meanwhile, we require, in order to flourish, that a complex set of physical, psychological, and social conditions be met. -
A R E S E a R C H Agenda
Cooperation, Conflict, and Transformative Artificial Intelligence — A RESEARCH AGENDA Jesse Clifton — LONGTERMRISK.ORG March 2020 First draft: December 2019 Contents 1 Introduction 2 1.1 Cooperation failure: models and examples . .3 1.2 Outline of the agenda . .5 2 AI strategy and governance 8 2.1 Polarity and transition scenarios . .8 2.2 Commitment and transparency . .8 2.3 AI misalignment scenarios . 10 2.4 Other directions . 10 2.5 Potential downsides of research on cooperation failures . 11 3 Credibility 12 3.1 Commitment capabilities . 13 3.2 Open-source game theory . 13 4 Peaceful bargaining mechanisms 16 4.1 Rational crisis bargaining . 16 4.2 Surrogate goals . 18 5 Contemporary AI architectures 21 5.1 Learning to solve social dilemmas . 21 5.2 Multi-agent training . 24 5.3 Decision theory . 25 6 Humans in the loop 27 6.1 Behavioral game theory . 27 6.2 AI delegates . 28 7 Foundations of rational agency 30 7.1 Bounded decision theory . 30 7.2 Acausal reasoning . 31 8 Acknowledgements 35 1 1 Introduction Transformative artificial intelligence (TAI) may be a key factor in the long-run trajec- tory of civilization. A growing interdisciplinary community has begun to study how the development of TAI can be made safe and beneficial to sentient life (Bostrom, 2014; Russell et al., 2015; OpenAI, 2018; Ortega and Maini, 2018; Dafoe, 2018). We present a research agenda for advancing a critical component of this effort: preventing catastrophic failures of cooperation among TAI systems. By cooperation failures we refer to a broad class of potentially-catastrophic inefficiencies in interactions among TAI-enabled actors. -
Axiological Futurism
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PhilPapers Axiological Futurism The Systematic Study of the Future of Human Values John Danaher, Senior Lecturer NUI Galway [email protected] Abstract: Human values seem to vary across time and space. What implications does this have for the future of human value? Will our human and (perhaps) post-human offspring have very different values from our own? Can we study the future of human values in an insightful and systematic way? This article makes three contributions to the debate about the future of human values. First, it argues that the systematic study of future values is both necessary in and of itself and an important complement to other future-oriented inquiries. Second, it sets out a methodology and a set of methods for undertaking this study. Third, it gives a practical illustration of what this ‘axiological futurism’ might look like by developing a model of the axiological possibility space that humans are likely to navigate over the coming decades. 1. Introduction Axiological change is a constant feature of human history. When we look back to the moral values of our ancestors, we cannot help but notice that they differed from our own. Our grandparents, for example, are quite likely to have harboured moral beliefs that would count as prejudiced and bigoted by modern standards; and we are quite likely to harbour moral beliefs that they would find abhorrent. As we go further back in time, the changes become even more pronounced (Pleasants 2018; Appiah 2010; Buchanan 2004; Pinker 2011). -
A Systematic Framework for Exploring Worldviews and Its Generalization As a Multi-Purpose Inquiry Framework
systems Article A Systematic Framework for Exploring Worldviews and Its Generalization as a Multi-Purpose Inquiry Framework David Rousseau 1,2,3,4,* and Julie Billingham 5,6 1 Centre for Systems Philosophy, Surrey KTI5 1EL, UK 2 Centre for Systems Studies, University of Hull, Kingston-on-Hull HU6 7RX, UK 3 Alister Hardy Research Centre, University of Wales TSD, Lampeter SA48 7ED, UK 4 Bertalanffy Center for the Study of Systems Science, 1040 Vienna, Austria 5 Centre for Systems Philosophy, Surrey KTI5 1EL, UK; [email protected] 6 Salesforce, Inc., San Francisco, CA 94105, USA * Correspondence: [email protected]; Tel.: +44-(0)-7714-677-687 Received: 31 March 2018; Accepted: 5 July 2018; Published: 10 July 2018 Abstract: Systems science methodologies do not have a consistent way of working with worldviews, even though determining stakeholder perspectives is central to systems thinking. In this paper, we propose a comprehensive “Worldview Inquiry Framework” that can be used across methodologies to govern the process of eliciting, documenting, and comparing the worldviews of stakeholders. We discuss the systemicity of worldviews and explain how this can help practitioners to find the roots of stakeholders’ disagreements about value judgements. We then generalize the structure of the Worldview Inquiry Framework to produce a “General Inquiry Framework” that can be used to govern an inquiry process in other contexts. We show that the presented Worldview Inquiry Framework is a special case of this General Inquiry Framework and show how the General Inquiry Framework can be tailored for other contexts such as problem solving, product design, and fundamental research. -
Effective Altruism and Transformative Experience
Effective Altruism and Transformative Experience Effective Altruism: Philosophical Issues Hilary Greaves and Theron Pummer Print publication date: 2019 Print ISBN-13: 9780198841364 Published to Oxford Scholarship Online: October 2019 DOI: 10.1093/oso/9780198841364.001.0001 Effective Altruism and Transformative Experience Jeff Sebo Laurie Paul DOI:10.1093/oso/9780198841364.003.0004 Abstract and Keywords In this chapter, Jeff Sebo and L.A. Paul investigate the phenomenon of experiences that transform the experiencer, either epistemically, personally, or both. The possibility of such experiences, Sebo and Paul argue, frequently complicates the practice of rational decision-making. First, in transformative cases in which your own experience is a relevant part of the outcome to be evaluated, one cannot make well-evidenced predictions of the value of the outcome at the time of decision. Second, in cases in which one foresees that one’s preferences would change following the decision, there are issues about whether rational decision-making should be based only on one’s ex ante preferences, or should also incorporate some element of deference to foreseen future preferences. While these issues arise quite generally, Paul and Sebo suggest that they are especially pressing in the context of effective altruism. Keywords: transformative experience, cost–benefit analysis, peer disagreement, decision theory, collective agency, authenticity, narrative self 1. Introduction Effective altruists try to use evidence and reason to do the most good possible. However, some choices involve transformative experiences, which change what we care about in ways that we cannot fully anticipate. This limits our ability to make informed, rational, and authentic plans individually as well as collectively. -
Effective Animal Advocacy
Effective Animal Advocacy Jeff Sebo New York University 1. Introduction Imagine that you are a doctor, volunteering your time to save people in the aftermath of a natural disaster. There are many more people who need help than you have ability to help. How should you approach your work? Many people find it natural to say that you should triage. That is, you should try to do the most good possible with your limited resources. If you have to choose between treating two people, one of whom has a major injury and the other of whom has a minor injury, then you should prioritize the person with the major injury, all else being equal. Similarly, if you have to choose between treating two people, one of whom requires relatively few scarce resources and the other of whom requires relatively many scarce resources, then you should prioritize the person who requires relatively few scarce resources, all else being equal. Granted, it might seem callous to prioritize lives this way. But in a state of emergency, we naturally understand that triage is an expression of compassion, not callousness. If we want to save the most lives possible or relieve the most suffering possible, then we need to think carefully about how best to use our limited resources so that we can achieve this aim. However, as MacAskill (2015), Singer (2015), and many others have noted, many people seem to forget this point when it comes to addressing other, more chronic problems.1 For example, when we make choices about advocacy and philanthropy, many of us do what feels personally meaningful rather than think carefully about how to save the most lives possible or relieve the most suffering possible.