Moral Relevance Approach for AI Ethics

Philosophies 9 (2):42 (2024)
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Abstract

Artificial intelligence (AI) ethics is proposed as an emerging and interdisciplinary field concerned with addressing the ethical issues of AI, such as the issue of moral decision-making. The conflict between our intuitive moral judgments constitutes an inevitable obstacle to decision-making in AI ethics. This article outlines the Moral Relevance Approach, which could provide a considerable moral foundation for AI ethics. Taking moral relevance as the precondition of the consequentialist principles, the Moral Relevance Approach aims to plausibly consider individual moral claims. It is not only the common ethical target shaping our moral consensus but also the inherent moral ability connecting others with us.

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References found in this work

What we owe to each other.Thomas Scanlon - 1998 - Cambridge, Mass.: Belknap Press of Harvard University Press.
Contractualism and Social Risk.Johann Frick - 2015 - Philosophy and Public Affairs 43 (3):175-223.
A Rawlsian algorithm for autonomous vehicles.Derek Leben - 2017 - Ethics and Information Technology 19 (2):107-115.

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