Results for 'machine ethics'

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  1.  27
    Making the (Business) Case for Clinical Ethics Support in the UK.L. L. Machin & Mark Wilkinson - 2020 - HEC Forum 33 (4):371-391.
    This paper provides a series of reflections on making the case to senior leaders for the introduction of clinical ethics support services within a UK hospital Trust at a time when clinical ethics committees are dwindling in the UK. The paper provides key considerations for those building a case for clinical ethics support within hospitals by drawing upon published academic literature, and key reports from governmental and professional bodies. We also include extracts from documents relating to, and (...)
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  2.  13
    Ethical food packaging and designed encounters with distant and exotic others.David Machin & Paul Cobley - 2020 - Semiotica 2020 (232):251-271.
    There has been criticism of how Fair-Trade products represent workers in remote parts of the world where packaging offers an encounter with distant others which romanticizes and homogenizes them as a pre-modern form of ethnicity. Such workers are shown as always engaged in authentic, simple, honest decontextualized manual labor. And they are depicted as highly appreciative of, and empowered by, the act of ethical shopping. This paper shows that a close social semiotic analysis of Fair-Trade packaging reveals a different set (...)
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  3.  6
    The Professional and Ethical Dilemmas of the Two-child Limit for Child Tax Credit and Universal Credit.Richard Machin - 2017 - Ethics and Social Welfare 11 (4):404-411.
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  4.  15
    Overcoming ethical barriers to research.Helen E. Machin & Professor Steven M. Shardlow - 2017 - Research Ethics 14 (3):1-9.
    Researchers engaged in studies about ‘hidden social groups’ are likely to face several ethical challenges. Using a study with undocumented Chinese migrants in the UK, challenges involved in obtaining approval by a university research ethics committee are explored. General guidance about how to resolve potential research ethics issues, with particular reference to ‘hidden social groups’, prior to submission to a research ethics committee is presented.
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  5.  17
    Overcoming ethical barriers to research.Helen E. Machin & Steven M. Shardlow - 2018 - Research Ethics 14 (3):1-9.
    Researchers engaged in studies about ‘hidden social groups’ are likely to face several ethical challenges. Using a study with undocumented Chinese migrants in the UK, challenges involved in obtaining approval by a university research ethics committee are explored. General guidance about how to resolve potential research ethics issues, with particular reference to ‘hidden social groups’, prior to submission to a research ethics committee is presented.
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  6.  22
    Engaging Tomorrow’s Doctors in Clinical Ethics: Implications for Healthcare Organisations.Laura L. Machin & Robin D. Proctor - 2020 - Health Care Analysis 29 (4):319-342.
    Clinical ethics can be viewed as a practical discipline that provides a structured approach to assist healthcare practitioners in identifying, analysing and resolving ethical issues that arise in practice. Clinical ethics can therefore promote ethically sound clinical and organisational practices and decision-making, thereby contributing to health organisation and system quality improvement. In order to develop students’ decision-making skills, as well as prepare them for practice, we decided to introduce a clinical ethics strand within an undergraduate medical curriculum. (...)
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  7. Laird Addis, Of Mind and Music. Ithaca, NY: Cornell University Press, 1999, 146 pp.(Indexed). ISBN 0-8014-3589-7, $29.95 (Hb). Arthur Isak Applebaum, Ethics for Adversaries: The Morality of Roles in Public and Professional Life. Princeton, NJ: Princeton University Press, 1999, 273 pp.(Indexed). ISBN 0691-00712-8, $29.95 (Hb). [REVIEW]Machines Can Do - 2000 - Journal of Value Inquiry 34:585-588.
     
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  8.  9
    Exploring the perceived benefits of ethics education for laboratory professionals.Khojasta Talash, Chloe Anthias & Laura L. Machin - 2022 - International Journal of Ethics Education 7 (1):201-212.
    Clinical laboratories face ethical challenges on a daily basis. The ethics training provided for clinical laboratory staff is variable, with some receiving no training. We aimed to explore the perceived benefits of ethics education for laboratory professionals. Ethics training was provided to approximately 60 laboratory professionals in a UK not-for-profit blood cancer organisation, with group discussions incorporated into the session. The session covered dominant ethical theories and principles, the defining moments in medical research ethics and the (...)
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  9.  34
    Beyond Criticism of Ethics Review Boards: Strategies for Engaging Research Communities and Enhancing Ethical Review Processes.Andrew Hickey, Samantha Davis, Will Farmer, Julianna Dawidowicz, Clint Moloney, Andrea Lamont-Mills, Jess Carniel, Yosheen Pillay, David Akenson, Annette Brömdal, Richard Gehrmann, Dean Mills, Tracy Kolbe-Alexander, Tanya Machin, Suzanne Reich, Kim Southey, Lynda Crowley-Cyr, Taiji Watanabe, Josh Davenport, Rohit Hirani, Helena King, Roshini Perera, Lucy Williams, Kurt Timmins, Michael Thompson, Douglas Eacersall & Jacinta Maxwell - 2022 - Journal of Academic Ethics 20 (4):549-567.
    A growing body of literature critical of ethics review boards has drawn attention to the processes used to determine the ethical merit of research. Citing criticism on the bureaucratic nature of ethics review processes, this literature provides a useful provocation for (re)considering how the ethics review might be enacted. Much of this criticism focuses on how ethics review boards _deliberate,_ with particular attention given to the lack of transparency and opportunities for researcher recourse that characterise (...) review processes. Centered specifically on the conduct of ethics review boards convened within university settings, this paper draws on these inherent criticisms to consider the ways that ethics review boards might enact more communicative and deliberative practices. Outlining a set of principles against which ethics review boards might establish strategies for engaging with researchers and research communities, this paper draws attention to how _Deliberative communication_, _Engagement with researchers_ and the _Distribution of responsibility_ for the ethics review might be enacted in the day-to-day practice of the university human ethics review board. This paper develops these themes via a conceptual lens derived from Habermas’ (The theory of communicative action. Volume 1: Reason and the rationalization of society, 1984 ) articulation of ‘communicative action’ and Fraser’s (Social Text, 25(26), 56–80, 1990 ) consideration of ‘strong publics’ to cast consideration of the role that human ethics review boards might play in supporting university research cultures. _Deliberative communication_, _Engagement with researchers_ and the _Distribution of responsibility_ provide useful conceptual prompts for considering how ethics review boards might undertake their work. (shrink)
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  10.  15
    The ethics review and the humanities and social sciences: disciplinary distinctions in ethics review processes.Jessica Carniel, Andrew Hickey, Kim Southey, Annette Brömdal, Lynda Crowley-Cyr, Douglas Eacersall, Will Farmer, Richard Gehrmann, Tanya Machin & Yosheen Pillay - 2023 - Research Ethics 19 (2):139-156.
    Ethics review processes are frequently perceived as extending from codes and protocols rooted in biomedical disciplines. As a result, many researchers in the humanities and social sciences (HASS) find these processes to be misaligned, if not outrightly obstructive to their research. This leads some scholars to advocate against HASS participation in institutional review processes as they currently stand, or in their entirety. While ethics review processes can present a challenge to HASS researchers, these are not insurmountable and, in (...)
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  11.  21
    Prepared for practice? UK Foundation doctors’ confidence in dealing with ethical issues in the workplace.Lorraine Corfield, Richard Alun Williams, Claire Lavelle, Natalie Latcham, Khojasta Talash & Laura Machin - 2021 - Journal of Medical Ethics 47 (12):e25-e25.
    This paper investigates the medical law and ethics learning needs of Foundation doctors by means of a national survey developed in association with key stakeholders including the General Medical Council and Health Education England. Four hundred sevnty-nine doctors completed the survey. The average self-reported level of preparation in MEL was 63%. When asked to rate how confident they felt in approaching three cases of increasing ethical complexity, more FYs were fully confident in the more complex cases than in the (...)
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  12.  10
    Time-limited trials: A qualitative study exploring the role of time in decision-making on the Intensive Care Unit.Bradley Lonergan, Alexandra Wright, Rachel Markham & Laura Machin - 2020 - Clinical Ethics 15 (1):11-16.
    BackgroundWithholding and withdrawing treatment are deemed ethically equivalent by most Bioethicists, but intensivists often find withdrawing more difficult in practice. This can lead to futile treatment being prolonged. Time-limited trials have been proposed as a way of promoting timely treatment withdrawal whilst giving the patient the greatest chance of recovery. Despite being in UK guidelines, time-limited trials have been infrequently implemented on Intensive Care Units. We will explore the role of time in Intensive Care Unit decision-making and provide a UK (...)
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  13.  19
    Programming Machine Ethics.Luís Moniz Pereira & Ari Saptawijaya - 2016 - Cham: Springer Verlag. Edited by Ari Saptawijaya.
    Source: "This book addresses the fundamentals of machine ethics. It discusses abilities required for ethical machine reasoning and the programming features that enable them. It connects ethics, psychological ethical processes, and machine implemented procedures. From a technical point of view, the book uses logic programming and evolutionary game theory to model and link the individual and collective moral realms. It also reports on the results of experiments performed using several model implementations. Opening specific and promising (...)
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  14. Machine Ethics.Michael Anderson & Susan Leigh Anderson (eds.) - 2011 - Cambridge Univ. Press.
    The essays in this volume represent the first steps by philosophers and artificial intelligence researchers toward explaining why it is necessary to add an ...
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  15. Incremental Machine Ethics.Thomas M. Powers - 2011 - IEEE Robotics and Automation 18 (1):51-58.
    Approaches to programming ethical behavior for computer systems face challenges that are both technical and philosophical in nature. In response, an incrementalist account of machine ethics is developed: a successive adaptation of programmed constraints to new, morally relevant abilities in computers. This approach allows progress under conditions of limited knowledge in both ethics and computer systems engineering and suggests reasons that we can circumvent broader philosophical questions about computer intelligence and autonomy.
     
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  16.  73
    From machine ethics to computational ethics.Samuel T. Segun - 2021 - AI and Society 36 (1):263-276.
    Research into the ethics of artificial intelligence is often categorized into two subareas—robot ethics and machine ethics. Many of the definitions and classifications of the subject matter of these subfields, as found in the literature, are conflated, which I seek to rectify. In this essay, I infer that using the term ‘machine ethics’ is too broad and glosses over issues that the term computational ethics best describes. I show that the subject of inquiry (...)
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  17. A challenge for machine ethics.Ryan Tonkens - 2009 - Minds and Machines 19 (3):421-438.
    That the successful development of fully autonomous artificial moral agents (AMAs) is imminent is becoming the received view within artificial intelligence research and robotics. The discipline of Machines Ethics, whose mandate is to create such ethical robots, is consequently gaining momentum. Although it is often asked whether a given moral framework can be implemented into machines, it is never asked whether it should be. This paper articulates a pressing challenge for Machine Ethics: To identify an ethical framework (...)
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  18.  8
    Machine Ethics in Care: Could a Moral Avatar Enhance the Autonomy of Care-Dependent Persons?Catrin Misselhorn - forthcoming - Cambridge Quarterly of Healthcare Ethics:1-14.
    It is a common view that artificial systems could play an important role in dealing with the shortage of caregivers due to demographic change. One argument to show that this is also in the interest of care-dependent persons is that artificial systems might significantly enhance user autonomy since they might stay longer in their homes. This argument presupposes that the artificial systems in question do not require permanent supervision and control by human caregivers. For this reason, they need the capacity (...)
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  19. rethinking machine ethics in the era of ubiquitous technology.Jeffrey White (ed.) - 2015 - Hershey, PA, USA: IGI.
    Table of Contents Foreword .................................................................................................... ......................................... xiv Preface .................................................................................................... .............................................. xv Acknowledgment .................................................................................................... .......................... xxiii Section 1 On the Cusp: Critical Appraisals of a Growing Dependency on Intelligent Machines Chapter 1 Algorithms versus Hive Minds and the Fate of Democracy ................................................................... 1 Rick Searle, IEET, USA Chapter 2 We Can Make Anything: Should We? .................................................................................................. 15 Chris Bateman, University of Bolton, UK Chapter 3 Grounding Machine Ethics within the Natural System ........................................................................ 30 Jared Gassen, JMG Advising, USA Nak Young Seong, Independent (...)
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  20.  28
    Machine Ethics: Do Androids Dream of Being Good People?Gonzalo Génova, Valentín Moreno & M. Rosario González - 2023 - Science and Engineering Ethics 29 (2):1-17.
    Is ethics a computable function? Can machines learn ethics like humans do? If teaching consists in no more than programming, training, indoctrinating… and if ethics is merely following a code of conduct, then yes, we can teach ethics to algorithmic machines. But if ethics is not merely about following a code of conduct or about imitating the behavior of others, then an approach based on computing outcomes, and on the reduction of ethics to the (...)
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  21. Deontological Machine Ethics.Thomas M. Powers - 2005 - In M. Anderson, S. L. Anderson & C. Armen (eds.), Association for the Advancement of Artificial Intelligence Fall Symposium Technical Report.
    Rule-based ethical theories like Kant's appear to be promising for machine ethics because of the computational structure of their judgments. On one formalist interpretation of Kant's categorical imperative, for instance, a machine could place prospective actions into the traditional deontic categories (forbidden, permissible, obligatory) by a simple consistency test on the maxim of action. We might enhance this test by adding a declarative set of subsidiary maxims and other "buttressing" rules. The ethical judgment is then an outcome (...)
     
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  22.  69
    Machine ethics and the idea of a more-than-human moral world.Steve Torrance - 2011 - In M. Anderson S. Anderson (ed.), Machine Ethics. Cambridge Univ. Press. pp. 115.
  23.  9
    Programming Machine Ethics.Luís Moniz Pereira - 2016 - Cham: Imprint: Springer. Edited by Ari Saptawijaya.
    This book addresses the fundamentals of machine ethics. It discusses abilities required for ethical machine reasoning and the programming features that enable them. It connects ethics, psychological ethical processes, and machine implemented procedures. From a technical point of view, the book uses logic programming and evolutionary game theory to model and link the individual and collective moral realms. It also reports on the results of experiments performed using several model implementations. Opening specific and promising inroads (...)
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  24. The problem of machine ethics in artificial intelligence.Rajakishore Nath & Vineet Sahu - 2020 - AI and Society 35 (1):103-111.
    The advent of the intelligent robot has occupied a significant position in society over the past decades and has given rise to new issues in society. As we know, the primary aim of artificial intelligence or robotic research is not only to develop advanced programs to solve our problems but also to reproduce mental qualities in machines. The critical claim of artificial intelligence advocates is that there is no distinction between mind and machines and thus they argue that there are (...)
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  25. The status of machine ethics: A report from the AAAI symposium. [REVIEW]Michael Anderson & Susan Leigh Anderson - 2007 - Minds and Machines 17 (1):1-10.
    This paper is a summary and evaluation of work presented at the AAAI 2005 Fall Symposium on Machine Ethics that brought together participants from the fields of Computer Science and Philosophy to the end of clarifying the nature of this newly emerging field and discussing different approaches one could take towards realizing the ultimate goal of creating an ethical machine.
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  26.  62
    Once people understand that machine ethics is concerned with how intelligent machines should behave, they often maintain that Isaac Asimov has already given us an ideal set of rules for such machines. They have in mind Asimov's three laws of robotics: 1. a robot may not injure a human being, or, through inaction, allow a human.Susan Leigh Anderson - 2011 - In M. Anderson S. Anderson (ed.), Machine Ethics. Cambridge Univ. Press.
  27.  33
    Political Machines: Ethical Governance in the Age of AI.Fiona J. McEvoy - 2019 - Moral Philosophy and Politics 6 (2):337-356.
    Policymakers are responsible for key decisions about political governance. Usually, they are selected or elected based on experience and then supported in their decision-making by the additional counsel of subject experts. Those satisfied with this system believe these individuals – generally speaking – will have the right intuitions about the best types of action. This is important because political decisions have ethical implications; they affect how we all live in society. Nevertheless, there is a wealth of research that cautions against (...)
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  28.  21
    Programming Machine Ethics by Luís Moniz Pereira and Ari Saptawijaya.Robert Kowalski - 2017 - AI and Society 32 (2):299-300.
  29. Implementations in Machine Ethics: A Survey.Suzanne Tolmeijer, Markus Kneer, Cristina Sarasua, Markus Christen & Abraham Bernstein - 2020 - ACM Computing Surveys 53 (6):1–38.
    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 (...)
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  30. Philosophical Concerns with Machine Ethics.Susan Leigh Anderson - 2011 - In M. Anderson S. Anderson (ed.), Machine Ethics. Cambridge Univ. Press.
  31. The Motivations and Risks of Machine Ethics.Stephen Cave, Rune Nyrup, Karina Vold & Adrian Weller - 2019 - Proceedings of the IEEE 107 (3):562-574.
    Many authors have proposed constraining the behaviour of intelligent systems with ‘machine ethics’ to ensure positive social outcomes from the development of such systems. This paper critically analyses the prospects for machine ethics, identifying several inherent limitations. While machine ethics may increase the probability of ethical behaviour in some situations, it cannot guarantee it due to the nature of ethics, the computational limitations of computational agents and the complexity of the world. In addition, (...)
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  32.  24
    Where Bioethics Meets Machine Ethics.Anna C. F. Lewis - 2020 - American Journal of Bioethics 20 (11):22-24.
    Char et al. question the extent and degree to which machine learning applications should be treated as exceptional by ethicists. It is clear that of the suite of ethical issues raised by mac...
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  33. Bonding Brains to Machines: Ethical Implications of Electroceuticals for the Human Brain.Jens Clausen - 2013 - Neuroethics 6 (3):429-434.
    Novel neurotechnologies like deep brain stimulation and brain-computer interfaces promise clinical benefits for severely suffering patients. Nevertheless, such electroceuticals raise several ethical issues on different levels: while on the level of clinical neuroethics issues with direct relevance for diagnosis and treatment have to be discussed, on the level of research neuroethics questions regarding research and development of these technological devices like investigating new targets and different diseases as well as thorough inclusion criteria are dealt with. On the level of theoretical (...)
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  34. Second Workshop on Implementing Machine Ethics.Vaz Alves Gleifer, Louise Dennis, Michael Fisher, Anthony Behan, Dina Babushkina, Christoph Merdes, Ken Archer, Labhaoise Ní Fhaoláin, Andrew Hines, Loizos Michael, C. Rafael Cardoso, Daniel Ene, Tom Evans, Satwant Kaur, Sarah Carter, Sergio Grancagnolo & Steven Greidinger - unknown
    s for the Second Workshop on Implementing Machine Ethics.
     
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  35.  59
    A Prima Facie Duty Approach to Machine Ethics Machine Learning of Features of Ethical Dilemmas, Prima Facie Duties, and Decision Principles through a Dialogue with Ethicists.Susan Leigh Anderson & Michael Anderson - 2011 - In M. Anderson S. Anderson (ed.), Machine Ethics. Cambridge Univ. Press.
  36. Conceptualizing Policy in Value Sensitive Design: A Machine Ethics Approach.Steven Umbrello - 2021 - In Steven John Thompson (ed.), Machine Law, Ethics, and Morality in the Age of Artificial Intelligence. Hershey, PA, USA: pp. 108-125.
    The value sensitive design (VSD) approach to designing transformative technologies for human values is taken as the object of study in this chapter. VSD has traditionally been conceptualized as another type of technology or instrumentally as a tool. The various parts of VSD’s principled approach would then aim to discern the various policy requirements that any given technological artifact under consideration would implicate. Yet, little to no consideration has been given to how laws, regulations, policies and social norms engage within (...)
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  37.  87
    Levels of Trust in the Context of Machine Ethics.Herman T. Tavani - 2015 - Philosophy and Technology 28 (1):75-90.
    Are trust relationships involving humans and artificial agents possible? This controversial question has become a hotly debated topic in the emerging field of machine ethics. Employing a model of trust advanced by Buechner and Tavani :39–51, 2011), I argue that the “short answer” to this question is yes. However, I also argue that a more complete and nuanced answer will require us to articulate the various levels of trust that are also possible in environments comprising both human agents (...)
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  38. Introduction: Machine Ethics and the Ethics of Building Intelligent Machines. [REVIEW]Marcello Guarini - 2013 - Topoi 32 (2):213-215.
  39.  31
    A qualified defense of top-down approaches in machine ethics.Tyler Cook - forthcoming - AI and Society:1-15.
    This paper concerns top-down approaches in machine ethics. It is divided into three main parts. First, I briefly describe top-down design approaches, and in doing so I make clear what those approaches are committed to and what they involve when it comes to training an AI to behave ethically. In the second part, I formulate two underappreciated motivations for endorsing them, one relating to predictability of machine behavior and the other relating to scrutability of machine decision-making. (...)
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  40. A Kantian Course Correction for Machine Ethics.Ava Thomas Wright - 2023 - In Jonathan Tsou & Gregory Robson (eds.), Technology Ethics: A Philosophical Introduction and Readings. New York: Routledge. pp. 141-151.
    The central challenge of “machine ethics” is to build autonomous machine agents that act morally rightly. But how can we build autonomous machine agents that act morally rightly, given reasonable disputes over what is right and wrong in particular cases? In this chapter, I argue that Immanuel Kant’s political philosophy can provide an important part of the answer.
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  41.  56
    Autonomous reboot: Aristotle, autonomy and the ends of machine ethics.Jeffrey White - 2022 - AI and Society 37 (2):647-659.
    Tonkens has issued a seemingly impossible challenge, to articulate a comprehensive ethical framework within which artificial moral agents satisfy a Kantian inspired recipe—"rational" and "free"—while also satisfying perceived prerogatives of machine ethicists to facilitate the creation of AMAs that are perfectly and not merely reliably ethical. Challenges for machine ethicists have also been presented by Anthony Beavers and Wendell Wallach. Beavers pushes for the reinvention of traditional ethics to avoid "ethical nihilism" due to the reduction of morality (...)
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  42.  43
    Identifying Ethical Considerations for Machine Learning Healthcare Applications.Danton S. Char, Michael D. Abràmoff & Chris Feudtner - 2020 - American Journal of Bioethics 20 (11):7-17.
    Along with potential benefits to healthcare delivery, machine learning healthcare applications raise a number of ethical concerns. Ethical evaluations of ML-HCAs will need to structure th...
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  43. The Nature, Importance, and Difficulty of Machine Ethics.James Moor - 2006 - IEEE Intelligent Systems 21:18-21.
     
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  44.  35
    Moral Orthoses: A New Approach to Human and Machine Ethics.Marius Dorobantu & Yorick Wilks - 2019 - Zygon 54 (4):1004-1021.
    Machines are increasingly involved in decisions with ethical implications, which require ethical explanations. Current machine learning algorithms are ethically inscrutable, but not in a way very different from human behavior. This article looks at the role of rationality and reasoning in traditional ethical thought and in artificial intelligence, emphasizing the need for some explainability of actions. It then explores Neil Lawrence's embodiment factor as an insightful way of looking at the differences between human and machine intelligence, connecting it (...)
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  45.  91
    Considerations about the relationship between animal and machine ethics.Oliver Bendel - 2016 - AI and Society 31 (1):103-108.
  46. Robot morali? Considerazioni filosofiche sulla machine ethics.Fabio Fossa - 2020 - Sistemi Intelligenti 2020 (2):425-444.
    The purpose of this essay is to determine the domain of validity of the notions developed in Machine Ethics [ME]. To this aim, I analyse the epistemological and methodological presuppositions that lie at the root of such technological project. On this basis, I then try and develop the theoretical means to identify and deconstruct improper applications of these notions to objects that do not belong to the same epistemic context, focusing in particular on the extent to which ME (...)
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  47. Mind and machine: ethical and epistemological implications for research. [REVIEW]Norm Friesen - 2010 - AI and Society 25 (1):83-92.
    Technologies are significant in research not only as instruments for gathering data and analyzing information; they also provide a valuable resource for the development of theory—in terms of what has been called the “tools to theory heuristic.” Focusing on the specific example of the fields of educational psychology and instructional technology and design, this paper begins by describing how the workings of the “tools to theory heuristic” are evident in the metaphors and descriptions of behaviorism, cognitivism, and constructivism. In each (...)
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  48.  18
    Something Old, Something New, Something Borrowed, Something Blue Part 2: From Frankenstein to Battlefield Drones; A Perspective on Machine Ethics.Mark Dougherty - 2013 - Journal of Intelligent Systems 22 (1):1-7.
    . Intelligent systems are reaching the point where they can take very significant decisions on behalf of humans and society. The moral and ethical impact of such systems needs to be taken very seriously, both internally and externally in respect of such systems. Although some work into defining and systematizing machine ethics has begun, a great deal of work remains to be done and many research questions remain open.
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  49. Autonomous Reboot: the challenges of artificial moral agency and the ends of Machine Ethics.Jeffrey White - manuscript
    Ryan Tonkens (2009) has issued a seemingly impossible challenge, to articulate a comprehensive ethical framework within which artificial moral agents (AMAs) satisfy a Kantian inspired recipe - both "rational" and "free" - while also satisfying perceived prerogatives of Machine Ethics to create AMAs that are perfectly, not merely reliably, ethical. Challenges for machine ethicists have also been presented by Anthony Beavers and Wendell Wallach, who have pushed for the reinvention of traditional ethics in order to avoid (...)
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  50.  28
    Synthetic Deliberation: Can Emulated Imagination Enhance Machine Ethics?Robert Pinka - 2020 - Minds and Machines 31 (1):121-136.
    Artificial intelligence is becoming increasingly entwined with our daily lives: AIs work as assistants through our phones, control our vehicles, and navigate our vacuums. As these objects become more complex and work within our societies in ways that affect our well-being, there is a growing demand for machine ethics—we want a guarantee that the various automata in our lives will behave in a way that minimizes the amount of harm they create. Though many technologies exist as moral artifacts, (...)
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