132 Implementations in Machine Ethics: a Survey
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Curriculum Vitae (Short) Alex Byrne Professor of Philosophy and Head, Department of Linguistics and Philosophy, MIT ______
July 2020 Curriculum Vitae (short) Alex Byrne Professor of Philosophy and Head, Department of Linguistics and Philosophy, MIT ___________________________________________________________________ Contact Massachusetts Institute of Technology, Department of Linguistics and Philosophy 32-D808, Cambridge MA 02139-4307, USA +1 617.258.6106 (ph); +1 617.253.5017 (fax) [email protected]; web.mit.edu/abyrne/www/; orcid: 0000-0003-3652-1492 Employment 2006- Professor of Philosophy, MIT 2002-2006 Associate Professor of Philosophy, MIT (tenured) 1999-2002 Associate Professor of Philosophy, MIT (untenured) 1995-1999 Assistant Professor of Philosophy, MIT 1994-1995 Instructor in Philosophy, MIT 1993-1994 Mellon Postdoctoral Instructor in Philosophy, Caltech Education 1994 Ph.D., Princeton University 1989 M.A., King’s College London 1988 B.A., Birkbeck College London Research Areas Primary: philosophy of mind; metaphysics and epistemology Secondary: philosophy of language; twentieth century analytic philosophy; philosophy of sex and gender; philosophical logic; ethics Publications Papers and Commentaries Forthcoming “Comment on Yli-Vakkuri and Hawthorne,” Narrow Content, Philosophical Studies. Forthcoming “Concepts, Belief, and Perception,” Concepts in Thought, Action, and Emotion: New Essays, ed. Christoph Demmerling and Dirk Schröder, Routledge. Forthcoming “Objectivist Reductionism” (with David Hilbert), in Fiona Macpherson & Derek Brown (eds.), The Routledge Handbook of Philosophy of Colour, 2 Routledge. Forthcoming “The Science of Color and Color Vision” (with David Hilbert), in Fiona Macpherson & Derek Brown (eds.), The Routledge Handbook of Philosophy of Colour, Routledge. 2020 “Are Women Adult Human Females?,” Philosophical Studies. 2019 “Schellenberg’s Capacitism,” Analysis 79: 713-9. 2019 “Perception and Ordinary Objects,” The Nature of Ordinary Objects, ed. J. Cumpa and B. Brewer, Oxford. -
Blame, What Is It Good For?
Blame, What is it Good For? Gordon Briggs1 Abstract— Blame is an vital social and cognitive mechanism [6] and reside in a much more ambiguous moral territory. that humans utilize in their interactions with other agents. In Additionally, it is not enough to be able to correctly reason this paper, we discuss how blame-reasoning mechanisms are about moral scenarios to ensure ethical or otherwise desirable needed to enable future social robots to: (1) appropriately adapt behavior in the context of repeated and/or long-term outcomes from human-robot interactions, the robot must interactions and relationships with other social agents; (2) avoid have other social competencies that support this reasoning behaviors that are perceived to be rude due to inappropriate mechanism. Deceptive interaction partners or incorrect per- and unintentional connotations of blame; and (3) avoid behav- ceptions/predictions about morally-charged scenarios may iors that could damage long-term, working relationships with lead even a perfect ethical-reasoner to make choices with other social agents. We also discuss how current computational models of blame and other relevant competencies (e.g. natural unethical outcomes [7]. What these challenges stress is the language generation) are currently insufficient to address these need to look beyond the ability to simply generate the proper concerns. Future work is necessary to increase the social answer to a moral dilemma in theory, and to consider the reasoning capabilities of artificially intelligent agents to achieve social mechanisms needed in practice. these goals. One such social mechanism that others have posited as I. INTRODUCTION being necessary to the construction of a artificial moral agent is blame [8]. -
Journal of Ethics and Social Philosophy 17, No. 2
Journal of Ethics & Social Philosophy Volume XVII · Number 2 April 2020 Articles 103 Social Reform in a Complex World Jacob Barrett 133 Freedom and Actual Interference Jonah Goldwater 159 Do We Have Reasons to Obey the Law? Edmund Tweedy Flanigan 198 The Ambitions of Consequentialism Brian McElwee Discussions 219 Error Theory, Unbelievability, and the Normative Objection Daniele Bruno 228 Does Initial Appropriation Create New Obligations? Jesse Spafford Journal of Ethics Social Philosophy http://www.jesp.org & TheJournal of Ethics and Social Philosophy (issn 1559-3061) is a peer-reviewed online journal in moral, social, political, and legal philosophy. The journal is founded on the principle of publisher-funded open access. There are no publication fees for authors, and public access to articles is free of charge and is available to all readers under the Creative Commons Attribution- NonCommercial-NoDerivatives 4.0 license. Funding for the journal has been made possible through the generous commitment of the Gould School of Law and the Dornsife College of Letters, Arts, and Sciences at the University of Southern California. TheJournal of Ethics and Social Philosophy aspires to be the leading venue for the best new work in the fields that it covers, and it is governed by a correspondingly high editorial standard. The journal welcomes submissions of articles in any of these and related fields of research. The journal is interested in work in the history of ethics that bears directly on topics of contemporary interest, but does not consider articles of purely historical interest. It is the view of the associate editors that the journal’s high standard does not preclude publishing work that is critical in nature, provided that it is constructive, well- argued, current, and of sufficiently general interest. -
Life and Learning Xix
LIFE AND LEARNING XIX PROCEEDINGS OF THE NINETEENTH UNIVERSITY FACULTY FOR LIFE CONFERENCE at THE UNIVERSITY OF ST. THOMAS SCHOOL OF LAW MINNEAPOLIS, MINNESOTA 2009 edited by Joseph W. Koterski, S.J. KOTERSKI LIFE AND LEARNING XIX UFL University Faculty for Life University Faculty for Life was founded in 1989 to promote research, dialogue, and publication among faculty members who respect the value of human life from its inception to natural death, and to provide academic support for the pro-life position. Respect for life is especially endangered by the current cultural forces seeking to legitimize such practices as abortion, infanticide, euthanasia, and physician-assisted suicide. These topics are controversial, but we believe that they are too important to be resolved by the shouting, the news-bites, and the slogans that often dominate popular presentation of these issues. Because we believe that the evidence is on our side, we would like to assure a hearing for these views in the academic community. The issues of abortion, infanticide, and euthanasia have many dimensions–political, social, legal, medical, biological, psychological, ethical, and religious. Accordingly, we hope to promote an inter-disciplinary forum in which such issues can be discussed among scholars. We believe that by talking with one another we may better understand the values we share and become better informed in our expression and defense of them. We are distressed that the media often portray those favoring the value of human life as mindless zealots acting out of sectarian bias. We hope that our presence will change that image. We also believe that academicians united on these issues can encourage others to speak out for human life in their own schools and communities. -
Judith Jarvis Thomson on Abortion; a Libertarian Perspective
DePaul Journal of Health Care Law Volume 19 Issue 1 Fall 2017 Article 3 April 2018 Judith Jarvis Thomson on Abortion; a Libertarian Perspective Walter E. Block Loyola University New Orleans, [email protected] Follow this and additional works at: https://via.library.depaul.edu/jhcl Part of the Health Law and Policy Commons Recommended Citation Walter E. Block, Judith Jarvis Thomson on Abortion; a Libertarian Perspective, 19 DePaul J. Health Care L. (2018) Available at: https://via.library.depaul.edu/jhcl/vol19/iss1/3 This Article is brought to you for free and open access by the College of Law at Via Sapientiae. It has been accepted for inclusion in DePaul Journal of Health Care Law by an authorized editor of Via Sapientiae. For more information, please contact [email protected]. Judith Jarvis Thomson on abortion; a libertarian perspective1 I. Introduction Abortion is one of the most vexing issues faced by society. On the one hand, there are those who favor the pro-choice position. In their view, the woman, and she alone (along with the advice of her doctor – but the final decision must be hers), should be able to legally determine on what basis, and whether, her pregnancy should be conducted. She should be as free to end her pregnancy at any stage of the development of her fetus, or give birth to it after the usual term of nine months. On the other hand, there are those who favor what is called the pro-life position. In this perspective, the fetus, from the moment of conception, is a full rights-bearing human being. -
Judith Jarvis Thomson's Normativity
Judith Jarvis Thomson’s Normativity Gilbert Harman June 28, 2010 Normativity is a careful, rigorous account of the meanings of basic normative terms like good, virtue, correct, ought, should, and must. Along the way Thomson refutes almost everything other philosophers have said about these topics. It is a very important book.1 Since I am going first in this symposium, I am mainly going to summarize this excellent book. At the end, I will try to indicate briefly I think why it refutes the sort of theory I and others have previously favored. Good Thomson begins by discussing evaluations using the word good. She notes as many others have that good is always used as an attributive adjective. 1This book discusses meta-ethics. She also plans a companion work of normative theory. 1 Something may be a good K or good in a certain respect, but nothing is good period. Thomson goes on to argue this means that emotivism, expressivism, pre- scriptivism and related accounts of the meaning of good cannot be generally correct. Nor does it make sense to suppose that there is no objective test for whether something is a good K or good for such and such a purpose. She argues persuasively that there is such a property as being a good K if and only if K is a goodness fixing kind. So there is no such property as being a good pebble, good act, a good fact, a good state of affairs, a good possible world, and so on, unless what is meant is, for example, a good pebble to use as a paperweight, a morally good act, a state of affairs that is good for Jones, a possible world that is a good example in a certain discussion, and so on. -
On How to Build a Moral Machine
On How to Build a Moral Machine Paul Bello [email protected] Human & Bioengineered Systems Division - Code 341, Office of Naval Research, 875 N. Randolph St., Arlington, VA 22203 USA Selmer Bringsjord [email protected] Depts. of Cognitive Science, Computer Science & the Lally School of Management, Rensselaer Polytechnic Institute, Troy, NY 12180 USA Abstract Herein we make a plea to machine ethicists for the inclusion of constraints on their theories con- sistent with empirical data on human moral cognition. As philosophers, we clearly lack widely accepted solutions to issues regarding the existence of free will, the nature of persons and firm conditions on moral agency/patienthood; all of which are indispensable concepts to be deployed by any machine able to make moral judgments. No agreement seems forthcoming on these mat- ters, and we don’t hold out hope for machines that can both always do the right thing (on some general ethic) and produce explanations for its behavior that would be understandable to a human confederate. Our tentative solution involves understanding the folk concepts associated with our moral intuitions regarding these matters, and how they might be dependent upon the nature of hu- man cognitive architecture. It is in this spirit that we begin to explore the complexities inherent in human moral judgment via computational theories of the human cognitive architecture, rather than under the extreme constraints imposed by rational-actor models assumed throughout much of the literature on philosophical ethics. After discussing the various advantages and challenges of taking this particular perspective on the development of artificial moral agents, we computationally explore a case study of human intuitions about the self and causal responsibility. -
Which Consequentialism? Machine Ethics and Moral Divergence
MIRI MACHINE INTELLIGENCE RESEARCH INSTITUTE Which Consequentialism? Machine Ethics and Moral Divergence Carl Shulman, Henrik Jonsson MIRI Visiting Fellows Nick Tarleton Carnegie Mellon University, MIRI Visiting Fellow Abstract Some researchers in the field of machine ethics have suggested consequentialist or util- itarian theories as organizing principles for Artificial Moral Agents (AMAs) (Wallach, Allen, and Smit 2008) that are ‘full ethical agents’ (Moor 2006), while acknowledging extensive variation among these theories as a serious challenge (Wallach, Allen, and Smit 2008). This paper develops that challenge, beginning with a partial taxonomy ofconse- quentialisms proposed by philosophical ethics. We discuss numerous ‘free variables’ of consequentialism where intuitions conflict about optimal values, and then consider spe- cial problems of human-level AMAs designed to implement a particular ethical theory, by comparison to human proponents of the same explicit principles. In conclusion, we suggest that if machine ethics is to fully succeed, it must draw upon the developing field of moral psychology. Shulman, Carl, Nick Tarleton, and Henrik Jonsson. 2009. “Which Consequentialism? Machine Ethics and Moral Divergence.” In AP-CAP 2009: The Fifth Asia-Pacific Computing and Philosophy Conference, October 1st-2nd, University of Tokyo, Japan, Proceedings, edited by Carson Reynolds and Alvaro Cassinelli, 23–25. AP-CAP 2009. http://ia-cap.org/ap-cap09/proceedings.pdf. This version contains minor changes. Carl Shulman, Henrik Jonsson, Nick Tarleton 1. Free Variables of Consequentialism Suppose that the recommendations of a broadly utilitarian view depend on decisions about ten free binary variables, where we assign a probability of 80% to our favored option for each variable; in this case, if our probabilities are well-calibrated and our errors are not correlated across variables, then we will have only slightly more than a 10% chance of selecting the correct (in some meta-ethical framework) specification. -
Philosophy of Artificial Intelligence
David Gray Grant Philosophy of Artificial Intelligence Note to the reader: this syllabus is for an introductory undergraduate lecture course with no prerequisites. Course Description In this course, we will explore the philosophical implications of artificial intelligence. Could we build machines with minds like ours out of computer chips? Could we cheat death by uploading our minds to a computer server? Are we living in a software-based simulation? Should a driverless car kill one pedestrian to save five? Will artificial intelligence be the end of work (and if so, what should we do about it)? This course is also a general introduction to philosophical problems and methods. We will dis- cuss classic problems in several areas of philosophy, including philosophy of mind, metaphysics, epistemology, and ethics. In the process, you will learn how to engage with philosophical texts, analyze and construct arguments, investigate controversial questions in collaboration with others, and express your views with greater clarity and precision. Contact Information Instructor: David Gray Grant Email: [email protected] Office: 303 Emerson Hall Office hours: Mondays 3:00-5:00 and by appointment Assignments and Grading You must complete all required assignments in order to pass this course. Your grade will be determined as follows: • 10%: Participation • 25%: 4 short written assignments (300-600 words) • 20%: Paper 1 (1200-1500 words) • 25%: Paper 2 (1200-1500 words) • 20%: Final exam Assignments should be submitted in .docx or .pdf format (.docx is preferred), Times New Roman 12 point font, single-spaced. Submissions that exceed the word limits specified above (including footnotes) will not be accepted. -
1 Curriculum Vitae Judith Jarvis Thomson February 2016 Education
1 Curriculum Vitae Judith Jarvis Thomson February 2016 Education: B.A. Barnard College, 1950 B.A. Cambridge University, 1952 M.A. Cambridge University, 1956 Ph.D. Columbia University, 1959 Awards: Phi Beta Kappa Fulbright Scholarship, 1950-51 Frances Dibblee Scholar (Columbia University), 1955-56 AAUW New York State Fellowship, 1962-63 NEH Fellowship, 1978-79 NEH Fellowship, 1986-87 Guggenheim Fellowship, 1986-87 (held in 1987-88) Member, American Academy of Arts & Sciences, 1989- Fellow, Centre for Advanced Study, Oslo, Norway, spring 1996 Quinn Prize, APA, 2012 Honorary President, American Committee of the Philosophy Summer School in China, 2013 Honorary degree: Doctor of Letters, University of Cambridge, June 2015 Teaching Positions: Barnard College, 1956-62 Lecturer, 1956-59 Instructor, 1959-60 Assistant Professor, 1960-62 Boston University, 1963-64 Assistant Professor, 1963-64 MIT, 1964- Associate Professor, 1964-69 Professor, 1969-1991 Laurance S. Rockefeller Professor of Philosophy, 1991-96 Professor, 1996- (Professor Emerita, 2004-) Visiting Fellow, Research School of Social Sciences, Australian National University, summer 1968 Visiting Professor, University of Pittsburgh, fall 1976 Visiting Professor, University of California, Berkeley, Law School, spring 1983 Visiting Professor, Yale Law School, fall 1982, fall 1984, fall 1985 Visiting Professor, UCLA, winter quarter 2003 Visiting Professor, Princeton, fall 2010 Professional Activities: American Philosophical Association: Chair, Board of Officers, 2002-2004 Eastern Division: -
Machine Learning Ethics in the Context of Justice Intuition
SHS Web of Conferences 69, 00150 (2019) https://doi.org/10.1051/shsconf/20196900150 CILDIAH-2019 Machine Learning Ethics in the Context of Justice Intuition Natalia Mamedova1,*, Arkadiy Urintsov1, Nina Komleva1, Olga Staroverova1 and Boris Fedorov1 1Plekhanov Russian University of Economics, 36, Stremyanny lane, 117997, Moscow, Russia Abstract. The article considers the ethics of machine learning in connection with such categories of social philosophy as justice, conviction, value. The ethics of machine learning is presented as a special case of a mathematical model of a dilemma - whether it corresponds to the “learning” algorithm of the intuition of justice or not. It has been established that the use of machine learning for decision making has a prospect only within the limits of the intuition of justice field based on fair algorithms. It is proposed to determine the effectiveness of the decision, considering the ethical component and given ethical restrictions. The cyclical nature of the relationship between the algorithmic algorithms subprocesses in machine learning and the stages of conducting mining analysis projects using the CRISP methodology has been established. The value of ethical constraints for each of the algorithmic processes has been determined. The provisions of the Theory of System Restriction are applied to find a way to measure the effect of ethical restrictions on the “learning” algorithm 1 Introduction Accepting the freedom of thought is authentic intuition of justice of one individual in relation to The intuition of justice is regarded as a sincere, himself and others. But for artificial intelligence emotionally saturated belief in the justice of some (hereinafter - AI) freedom of thought is not supposed - position. -
Why Machine Ethics?
www.computer.org/intelligent Why Machine Ethics? Colin Allen, Indiana University Wendell Wallach, Yale University Iva Smit, E&E Consultants Vol. 21, No. 4 July/August 2006 This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. For more information, please see www.ieee.org/portal/pages/about/documentation/copyright/polilink.html. Machine Ethics Why Machine Ethics? Colin Allen, Indiana University Wendell Wallach, Yale University Iva Smit, E&E Consultants runaway trolley is approaching a fork in the tracks. If the trolley runs on its cur- A rent track, it will kill a work crew of five. If the driver steers the train down the other branch, the trolley will kill a lone worker. If you were driving the trolley, what would you do? What would a computer or robot do? Trolley cases, first introduced by philosopher which decisions must be made? It’s easy to argue Philippa Foot in 19671 and a staple of introductory from a position of ignorance that such a goal is impos- Machine ethics isn’t ethics courses, have multiplied in the past four sible to achieve.