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New developments in the philosophy of AI

In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer (2016)

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  1. Public perception of military AI in the context of techno-optimistic society.Eleri Lillemäe, Kairi Talves & Wolfgang Wagner - forthcoming - AI and Society:1-15.
    In this study, we analyse the public perception of military AI in Estonia, a techno-optimistic country with high support for science and technology. This study involved quantitative survey data from 2021 on the public’s attitudes towards AI-based technology in general, and AI in developing and using weaponised unmanned ground systems (UGS) in particular. UGS are a technology that has been tested in militaries in recent years with the expectation of increasing effectiveness and saving manpower in dangerous military tasks. However, developing (...)
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  • The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (1):99-120.
    Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, (...)
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  • The right to refuse diagnostics and treatment planning by artificial intelligence.Thomas Ploug & Søren Holm - 2020 - Medicine, Health Care and Philosophy 23 (1):107-114.
    In an analysis of artificially intelligent systems for medical diagnostics and treatment planning we argue that patients should be able to exercise a right to withdraw from AI diagnostics and treatment planning for reasons related to (1) the physician’s role in the patients’ formation of and acting on personal preferences and values, (2) the bias and opacity problem of AI systems, and (3) rational concerns about the future societal effects of introducing AI systems in the health care sector.
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  • Ethical Issues for Autonomous Trading Agents.Michael P. Wellman & Uday Rajan - 2017 - Minds and Machines 27 (4):609-624.
    The rapid advancement of algorithmic trading has demonstrated the success of AI automation, as well as gaps in our understanding of the implications of this technology proliferation. We explore ethical issues in the context of autonomous trading agents, both to address problems in this domain and as a case study for regulating autonomous agents more generally. We argue that increasingly competent trading agents will be capable of initiative at wider levels, necessitating clarification of ethical and legal boundaries, and corresponding development (...)
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  • Artificial intelligence: a “promising technology”.Hartmut Hirsch-Kreinsen - forthcoming - AI and Society:1-12.
    This paper addresses the question of how the ups and downs in the development of artificial intelligence (AI) since its inception can be explained. It focuses on the development of artificial intelligence in Germany since the 1970s, and particularly on its current dynamics. An assumption is made that a mere reference to rapid advances in information technologies and the various methods and concepts of artificial intelligence in recent decades cannot adequately explain these dynamics, because from a social science perspective, this (...)
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  • On Machine Learning and the Replacement of Human Labour: Anti-Cartesianism versus Babbage’s path.Felipe Tobar & Rodrigo González - 2022 - AI and Society 37 (4):1459-1471.
    This paper addresses two methodological paths in Artificial Intelligence: the paths of Babbage and anti-Cartesianism. While those researchers who have followed the latter have attempted to reverse the Cartesian dictum according to which machines cannot think in principle, Babbage’s path, which has been partially neglected, implies that the replacement of humans—and not the creation of minds—should provide the foundation of AI. In view of the examined paths, the claim that we support here is this: in line with Babbage, AI researchers (...)
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  • Discourse analysis of academic debate of ethics for AGI.Ross Graham - 2022 - AI and Society 37 (4):1519-1532.
    Artificial general intelligence is a greatly anticipated technology with non-trivial existential risks, defined as machine intelligence with competence as great/greater than humans. To date, social scientists have dedicated little effort to the ethics of AGI or AGI researchers. This paper employs inductive discourse analysis of the academic literature of two intellectual groups writing on the ethics of AGI—applied and/or ‘basic’ scientific disciplines henceforth referred to as technicians (e.g., computer science, electrical engineering, physics), and philosophy-adjacent disciplines henceforth referred to as PADs (...)
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  • AI and the path to envelopment: knowledge as a first step towards the responsible regulation and use of AI-powered machines.Scott Robbins - 2020 - AI and Society 35 (2):391-400.
    With Artificial Intelligence entering our lives in novel ways—both known and unknown to us—there is both the enhancement of existing ethical issues associated with AI as well as the rise of new ethical issues. There is much focus on opening up the ‘black box’ of modern machine-learning algorithms to understand the reasoning behind their decisions—especially morally salient decisions. However, some applications of AI which are no doubt beneficial to society rely upon these black boxes. Rather than requiring algorithms to be (...)
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  • Imaginative Value Sensitive Design: Using Moral Imagination Theory to Inform Responsible Technology Design.Steven Umbrello - 2020 - Science and Engineering Ethics 26 (2):575-595.
    Safe-by-Design (SBD) frameworks for the development of emerging technologies have become an ever more popular means by which scholars argue that transformative emerging technologies can safely incorporate human values. One such popular SBD methodology is called Value Sensitive Design (VSD). A central tenet of this design methodology is to investigate stakeholder values and design those values into technologies during early stage research and development (R&D). To accomplish this, the VSD framework mandates that designers consult the philosophical and ethical literature to (...)
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  • Singularitarianism and schizophrenia.Vassilis Galanos - 2017 - AI and Society 32 (4):573-590.
    Given the contemporary ambivalent standpoints toward the future of artificial intelligence, recently denoted as the phenomenon of Singularitarianism, Gregory Bateson’s core theories of ecology of mind, schismogenesis, and double bind, are hereby revisited, taken out of their respective sociological, anthropological, and psychotherapeutic contexts and recontextualized in the field of Roboethics as to a twofold aim: the proposal of a rigid ethical standpoint toward both artificial and non-artificial agents, and an explanatory analysis of the reasons bringing about such a polarized outcome (...)
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  • Towards Establishing Criteria for the Ethical Analysis of Artificial Intelligence.Michele Farisco, Kathinka Evers & Arleen Salles - 2020 - Science and Engineering Ethics 26 (5):2413-2425.
    Ethical reflection on Artificial Intelligence (AI) has become a priority. In this article, we propose a methodological model for a comprehensive ethical analysis of some uses of AI, notably as a replacement of human actors in specific activities. We emphasize the need for conceptual clarification of relevant key terms (e.g., intelligence) in order to undertake such reflection. Against that background, we distinguish two levels of ethical analysis, one practical and one theoretical. Focusing on the state of AI at present, we (...)
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