Abstract

AI raises many serious ethical issues. Alongside the rapid development on AI, there is also a parallel development of various ethical recommendations and guidelines. These often fall into the category of “grey documents”, that is, they are neither binding regulations nor ethical research, but rather official guidelines issued by national governments, academia, international bodies, professional organizations, and the tech industry intended to guide AI development and use it in a more ethical way. Alongside this development there is also a growing secondary literature consisting of meta-analyses, commentaries and critical debate around these documents arguing for various kinds of synthesis or pointing to specific kinds of shortcomings.

This talk has two main aims. First, I will briefly introduce the broad lines of the ethical landscape of current AI Ethics with focus on the critical literature. Second, I will argue that a weakness of existing guidelines is that they are too loosely anchored in philosophical moral theory and that reconnecting the broader general AI ethical frameworks with moral theory and fundamental moral values might address some of the worries raised.

Madeleine Hayenhjelm (Ph.D, Phil.lic., Royal Institute of Technology) is a senior lecturer in Philosophy and specializes in Ethics of Risk and Moral Philosophy.

Please note. The subtitle was primarily generated by AI in collaboration with human review and may contain some errors.