Using edge cases to disentangle fairness and solidarity in AI ethics

  • Brusseau J
N/ACitations
Citations of this article
15Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Principles of fairness and solidarity in AI ethics regularly overlap, creating obscurity in practice: acting in accordance with one can appear indistinguishable from deciding according to the rules of the other. However, there exist irregular cases where the two concepts split, and so reveal their disparate meanings and uses. This paper explores two cases in AI medical ethics, one that is irregular and the other more conventional, to fully distinguish fairness and solidarity. Then the distinction is applied to the frequently cited COMPAS versus ProPublica dispute in judicial ethics. The application provides a broader model for settling contemporary and topical debates about fairness and solidarity. It also implies a deeper and disorienting truth about AI ethics principles and their justification.

Cite

CITATION STYLE

APA

Brusseau, J. (2022). Using edge cases to disentangle fairness and solidarity in AI ethics. AI and Ethics, 2(3), 441–447. https://doi.org/10.1007/s43681-021-00090-z

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free