Consequentialism & Machine Ethics Towards a Foundational Machine
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Tom Regan on 'Kind' Arguments Against Animal Rights and For
WellBeing International WBI Studies Repository 2015 Tom Regan on ‘Kind’ Arguments Against Animal Rights and For Human Rights Nathan Nobis Morehouse College Follow this and additional works at: https://www.wellbeingintlstudiesrepository.org/acwp_sata Part of the Animal Studies Commons, Ethics and Political Philosophy Commons, and the Politics and Social Change Commons Recommended Citation Nobis, Nathan (2016). Tom Regan on Kind Arguments against Animal Rights and for Human Rights. In Mylan Engel Jr & Gary Comstock (eds.), The Moral Rights of Animals. Lexington Books. pp. 65-80. This material is brought to you for free and open access by WellBeing International. It has been accepted for inclusion by an authorized administrator of the WBI Studies Repository. For more information, please contact [email protected]. Tom Regan on ‘Kind’ Arguments Against Animal Rights and For Human Rights Nathan Nobis Morehouse College, Atlanta, GA [email protected] www.NathanNobis.com 1/12/2014 2:10:42 PM; 7500 words Abstract: Tom Regan argues that human beings and some non-human animals have moral rights because they are “subjects of lives,” that is, roughly, conscious, sentient beings with an experiential welfare. A prominent critic, Carl Cohen, objects: he argues that only moral agents have rights and so animals, since they are not moral agents, lack rights. An objection to Cohen’s argument is that his theory of rights seems to imply that human beings who are not moral agents have no moral rights, but since these human beings have rights, his theory of rights is false, and so he fails to show that animals lack rights. -
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]. -
Moral Status
The Southern Journal of Philosophy (2004) Vol. XLll Mary Anne Warren on “Full”Moral Status Robert P. Lovering American University 1. Introduction Among other things, the debate on moral status’ involves establishing basic moral principles in terms of which one may determine not only which entities are morally considerable but also the kinds and degrees of obligations moral agents have toward those that are. In the contemporary debate on moral status, it is not uncommon to find philosophers who embrace the following basic moral principle: The Principle of Full Moral Status: The degree to which an entity E possesses moral status is proportional to the degree to which E possesses morally relevant properties until a threshold degree of morally relevant properties possession is reached, whereupon the degree to which E possesses morally relevant properties may continue to increase, but the degree to which E possesses moral status remains the same. One philosopher who has contributed significantly to the con- temporary debate on moral status and embraces the Principle of Full Moral Status is Mary Anne Warren. Warren holds not only that it is possible for some entities to possess full moral status but that some entities actually do, for example, normal adult human beings (among others). In this paper, I argue that two of Warren’s primary arguments for the Principle of Full Moral Status-referred to here as the Argument from Pragmatism and the Argument from Explanatory Power-are significantly flawed. Until and unless these flaws are rectified, Robert P. Lovering is Visiting Assistant Professor of Philosophy at American University in Washington D.C. -
A Minimalist Model of the Artificial Autonomous Moral Agent (AAMA)
A Minimalist Model of the Artificial Autonomous Moral Agent (AAMA) Don Howard and Ioan Muntean The Reilly Center for Science, Technology, and Values. University of Notre Dame, Notre Dame, IN 46556 {dhoward1, imuntean}@nd.edu Abstract resists these analogies emphasizes a strong demarcation This paper proposes a model for an artificial autonomous between cognition and morality on one hand, and between moral agent (AAMA), which is parsimonious in its ontology artificial and human morality on the other hand. and minimal in its ethical assumptions. Starting from a set First, the conceptual inquiry into artificial morality, of moral data, this AAMA is able to learn and develop a including the aforementioned analogies, should be form of moral competency. It resembles an “optimizing predictive mind,” which uses moral data (describing typical explored within ethics, which is one of the most dynamic behavior of humans) and a set of dispositional traits to learn areas of philosophy. Extending morality beyond the human how to classify different actions (given a given background agent to non-individual, or non-human agents, is, knowledge) as morally right, wrong, or neutral. When presumably, a major challenge to mainstream ethics. confronted with a new situation, this AAMA is supposedly Arguing for or against artificial morality challenges ethics, able to predict a behavior consistent with the training set. This paper argues that a promising computational tool that epistemology, and the new field of “experimental moral fits our model is “neuroevolution,” i.e. evolving artificial philosophy” (Alfano & Loeb, 2014). neural networks. Universalizability and Replicability of Introduction Morality Analogy (a) is a timely philosophical issue. -
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. -
Instrumentalism About Moral Responsibility Revisited
The Philosophical Quarterly Vol. 69,No.276 2019 ISSN 0031-8094 doi: 10.1093/pq/pqy062 Downloaded from https://academic.oup.com/pq/article/69/276/555/5266881 by guest on 30 September 2021 INSTRUMENTALISM ABOUT MORAL RESPONSIBILITY REVISITED By Anneli Jefferson I defend an instrumentalist account of moral responsibility and adopt Manuel Vargas’ idea that our responsibility practices are justified by their effects. However, whereas Vargas gives an independent account of morally responsible agency, on my account, responsible agency is defined as the suscepti- bility to developing and maintaining moral agency through being held responsible. I show that the instrumentalism I propose can avoid some problems more crude forms of instrumentalism encounter by adopting aspects of Strawsonian accounts. I then show the implications for our understanding of responsibility: my account requires us to adopt a graded notion of responsibility and accept the claim that certain individuals may not be responsible because they are not susceptible to being influenced by our moral responsibility practices. Finally, I discuss whether the account is committed to allowing the instrumentalization of non-responsible individuals in cases where blaming them may benefit others’ moral agency. Keywords: moral responsibility, consequentialism, reactive attitudes, moral influ- ence, instrumentalization. When we think about responsibility, we always have one eye to the future and one eye to the past. We look at agents’ past behaviour and intentions to establish desert, and we look to the consequences it is appropriate to visit on them in the future. In his seminal 1961 paper ‘Free will, praise and blame’, Smart put forward an instrumentalist account of what it means to be morally responsible. -
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. -
APA Newsletter on Philosophy and Computers, Vol. 14, No. 2
NEWSLETTER | The American Philosophical Association Philosophy and Computers SPRING 2015 VOLUME 14 | NUMBER 2 FROM THE GUEST EDITOR John P. Sullins NOTES FROM THE COMMUNITY ON PAT SUPPES ARTICLES Patrick Suppes Patrick Suppes Autobiography Luciano Floridi Singularitarians, AItheists, and Why the Problem with Artificial Intelligence is H.A.L. (Humanity At Large), not HAL Peter Boltuc First-Person Consciousness as Hardware D. E. Wittkower Social Media and the Organization Man Niklas Toivakainen The Moral Roots of Conceptual Confusion in Artificial Intelligence Research Xiaohong Wang, Jian Wang, Kun Zhao, and Chaolin Wang Increase or Decrease of Entropy: To Construct a More Universal Macroethics (A Discussion of Luciano Floridi’s The Ethics of Information) VOLUME 14 | NUMBER 2 SPRING 2015 © 2015 BY THE AMERICAN PHILOSOPHICAL ASSOCIATION ISSN 2155-9708 APA NEWSLETTER ON Philosophy and Computers JOHN P. SULLINS, GUEST EDITOR VOLUME 14 | NUMBER 2 | SPRING 2015 but here we wish to celebrate his accomplishments in the FROM THE GUEST EDITOR fields of philosophy and computing one last time. John P. Sullins To accomplish that goal I have compiled some interesting SONOMA STATE UNIVERSITY pieces from an autobiography that Pat wrote some years ago but that he added to a bit for an event held in his honor November 17, 2014, marked the end of an inspiring at Stanford. In this document he explains his motivations career. On that day Patrick Suppes died quietly at the and accomplishments in various fields of study that are age of ninety-two in his house on the Stanford Campus, of interest to our community. In that section you will see which had been his home both physically and intellectually just how ambitious Pat was in the world of computer since 1950. -
Who Answers the Call? Institutional Moral Agency and Global Justice
CTE Centrum för tillämpad etik Linköpings Universitet Who answers the call? Institutional moral agency and global justice - MICHAEL KLAPDOR - Master’s Thesis in Applied Ethics Centre for Applied Ethics Linköpings universitet Presented June 2010 Supervisor: Prof. Göran Collste, Linköpings universitet CONTENTS INTRODUCTION ...........................................................................................................3 1. INDIVIDUAL AND INSTITUTIONAL MORAL AGENCY..................................................5 1.1 Moral persons ..................................................................................................5 1.2 Peter French’s corporate persons ...................................................................7 1.3 Toni Erskine’s theory of institutional agency ..................................................9 1.4 Onora O’Neill on the powers of agents .........................................................11 1.5 Summary ........................................................................................................13 2. MORAL AGENCY AND RESPONSIBILITY..................................................................15 2.1 Decision making in large organisations: how ‘human’ or ‘rational’ is it? ..15 2.2 Intentionality and responsibility ....................................................................20 2.3 A responsibility to: duty bearing and agency ................................................22 3. WHO ANSWERS THE CALL?....................................................................................28