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Whose morality? Which rationality? Challenging artificial intelligence as a remedy for the lack of moral enhancement

Computer Science

Whose morality? Which rationality? Challenging artificial intelligence as a remedy for the lack of moral enhancement

S. Serafimova

This paper by Silviya Serafimova delves into the intricate moral implications of algorithmic decision-making in machine ethics, challenging the notion that ethical intelligence can equate to human-level moral agency. It scrutinizes key normative theories to illuminate the complexities of crafting genuine ethical agents.

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~3 min • Beginner • English
Abstract
Moral implications of the decision-making process based on algorithms require special attention within the field of machine ethics. Specifically, research focuses on clarifying why even if one assumes the existence of well-working ethical intelligent agents in epistemic terms, it does not necessarily mean that they meet the requirements of autonomous moral agents, such as human beings. For the purposes of exemplifying some of the difficulties in arguing for implicit and explicit ethical agents in Moor's sense, three first-order normative theories in the field of machine ethics are put to test. Those are Powers' prospect for a Kantian machine, Anderson and Anderson's reinterpretation of act utilitarianism and Howard and Muntean's prospect for a moral machine based on a virtue ethical approach. By comparing and contrasting the three first-order normative theories, and by clarifying the gist of the differences between the processes of calculation and moral estimation, the possibility for building what-one might call strong "moral" AI scenarios—is questioned. The possibility of weak "moral" AI scenarios is likewise discussed critically.
Publisher
Humanities & Social Sciences Communications
Published On
Oct 07, 2020
Authors
Silviya Serafimova
Tags
algorithmic decision-making
machine ethics
moral agents
normative theories
ethical behavior
Kantianism
utilitarianism
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