Person-Affecting Morality and AI Ethics

Speaker: Dr Abelard Podgorski, The National University of Singapore

Abstract: 

There is a choice point in ethics between theories which care about whether our actions make the world impersonally better or worse, and theories which care about whether our actions are better or worse for particular individuals. The distinction has important implications for issues in population ethics, but has played relatively little role in discussion of ethical issues involving AI. In this talk, I try to argue that accepting the latter, “person-affecting” views has significant and underappreciated implications for debates in AI ethics, both on how to morally assess the effects of AI technology on human welfare and how to understand our obligations to AI agents themselves.

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