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  1. 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 compilation and application of a set (...)
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  • Machine learning and power relations.Jonne Maas - forthcoming - AI and Society.
    There has been an increased focus within the AI ethics literature on questions of power, reflected in the ideal of accountability supported by many Responsible AI guidelines. While this recent debate points towards the power asymmetry between those who shape AI systems and those affected by them, the literature lacks normative grounding and misses conceptual clarity on how these power dynamics take shape. In this paper, I develop a workable conceptualization of said power dynamics according to Cristiano Castelfranchi’s conceptual framework (...)
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  • What ethics can say on artificial intelligence: Insights from a systematic literature review.Francesco Vincenzo Giarmoleo, Ignacio Ferrero, Marta Rocchi & Massimiliano Matteo Pellegrini - 2024 - Business and Society Review 129 (2):258-292.
    The abundance of literature on ethical concerns regarding artificial intelligence (AI) highlights the need to systematize, integrate, and categorize existing efforts through a systematic literature review. The article aims to investigate prevalent concerns, proposed solutions, and prominent ethical approaches within the field. Considering 309 articles from the beginning of the publications in this field up until December 2021, this systematic literature review clarifies what the ethical concerns regarding AI are, and it charts them into two groups: (i) ethical concerns that (...)
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  • Moral distance, AI, and the ethics of care.Carolina Villegas-Galaviz & Kirsten Martin - forthcoming - AI and Society:1-12.
    This paper investigates how the introduction of AI to decision making increases moral distance and recommends the ethics of care to augment the ethical examination of AI decision making. With AI decision making, face-to-face interactions are minimized, and decisions are part of a more opaque process that humans do not always understand. Within decision-making research, the concept of moral distance is used to explain why individuals behave unethically towards those who are not seen. Moral distance abstracts those who are impacted (...)
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  • The relationship between the attitudes of the use of AI and diversity awareness: comparisons between Japan, the US, Germany, and South Korea.Yuko Ikkatai, Yuko Itatsu, Tilman Hartwig, Jooeun Noh, Naohiro Takanashi, Yujin Yaguchi, Kaori Hayashi & Hiromi M. Yokoyama - forthcoming - AI and Society:1-15.
    Recent technological advances have accelerated the use of artificial intelligence (AI) in the world. Public concerns over AI in ethical, legal, and social issues (ELSI) may have been enhanced, but their awareness has not been fully examined between countries and cultures. We created four scenarios regarding the use of AI: “voice,” “recruiting,” “face,” and “immigration,” and compared public concerns in Japan, the US, Germany, and the Republic of Korea (hereafter Korea). Additionally, public ELSI concerns in respect of AI were measured (...)
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