From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse

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10 Citaten (Scopus)
115 Downloads (Pure)

Samenvatting

People are increasingly subject to algorithmic decisions, and it is generally agreed that end-users should be provided an explanation or rationale for these decisions. There are different purposes that explanations can have, such as increasing user trust in the system or allowing users to contest the decision. One specific purpose that is gaining more traction is algorithmic recourse. We first propose that recourse should be viewed as a recommendation problem, not an explanation problem. Then, we argue that the capability approach provides plausible and fruitful ethical standards for recourse. We illustrate by considering the case of diversity constraints on algorithmic recourse. Finally, we discuss the significance and implications of adopting the capability approach for algorithmic recourse research.
Originele taal-2Engels
TitelAIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
UitgeverijAssociation for Computing Machinery, Inc
Pagina's712–722
Aantal pagina's11
ISBN van elektronische versie978-1-4503-9247-1
DOI's
StatusGepubliceerd - 26 jul. 2022
Evenement2022 AAAI/ACM Conference on Al, Ethics and Society, AIES'22 - Oxford, Verenigd Koninkrijk
Duur: 19 mei 202221 mei 2022

Congres

Congres2022 AAAI/ACM Conference on Al, Ethics and Society, AIES'22
Verkorte titelAIES'22
Land/RegioVerenigd Koninkrijk
StadOxford
Periode19/05/2221/05/22

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