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Fundamental Issues of Artificial Intelligence

Cham: Springer (2016)

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  1. 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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  • Introduction: The prize essays.Emil Višňovský - 2021 - Human Affairs 31 (1):3-5.
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  • Günther Anders in Silicon Valley: Artificial intelligence and moral atrophy.Elke Schwarz - 2019 - Thesis Eleven 153 (1):94-112.
    Artificial Intelligence as a buzzword and a technological development is presently cast as the ultimate ‘game changer’ for economy and society; a technology of which we cannot be the master, but which nonetheless will have a pervasive influence on human life. The fast pace with which the multi-billion dollar AI industry advances toward the creation of human-level intelligence is accompanied by an increasingly exaggerated chorus of the ‘incredible miracle’, or the ‘incredible horror’, intelligent machines will constitute for humanity, as the (...)
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  • The future of artificial intelligence, posthumanism and the inflection of Pixley Isaka Seme’s African humanism.Malesela John Lamola - 2022 - AI and Society 37 (1):131-141.
    Increasingly, innovation in artificial intelligence technologies portends the re-conceptualization of human existentiality along the paradigm of posthumanism. An exposition of this through a critical culturo-historical methodology uncloaks the Eurocentric genitive basis of the philosophical anthropology that underpins this technological posthumanism, as well as its dystopian possibilities. As a contribution to obviating the latter, an Africanist civilizational humanism proclaimed by Pixley ka Isaka Seme is proffered as a plausible alternative paradigm for humanity’s technological advancement. Seme, a pan-Africanist thinker of the early (...)
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  • Technological Unemployment, Meaning in Life, Purpose of Business, and the Future of Stakeholders.Tae Wan Kim & Alan Scheller-Wolf - 2019 - Journal of Business Ethics 160 (2):319-337.
    We offer a precautionary account of why business managers should proactively rethink about what kinds of automation firms ought to implement, by exploring two challenges that automation will potentially pose. We engage the current debate concerning whether life without work opportunities will incur a meaning crisis, offering an argument in favor of the position that if technological unemployment occurs, the machine age may be a structurally limited condition for many without work opportunities to have or add meaning to their lives. (...)
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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 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 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 suggest that regardless (...)
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  • Foundations of an Ethical Framework for AI Entities: the Ethics of Systems.Andrej Dameski - 2020 - Dissertation, University of Luxembourg
    The field of AI ethics during the current and previous decade is receiving an increasing amount of attention from all involved stakeholders: the public, science, philosophy, religious organizations, enterprises, governments, and various organizations. However, this field currently lacks consensus on scope, ethico-philosophical foundations, or common methodology. This thesis aims to contribute towards filling this gap by providing an answer to the two main research questions: first, what theory can explain moral scenarios in which AI entities are participants?; and second, what (...)
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