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Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making

Authors :
Chan, Lok
Doyle, Kenzie
McElfresh, Duncan
Conitzer, Vincent
Dickerson, John P.
Borg, Jana Schaich
Sinnott-Armstrong, Walter
Source :
Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES '20)
Publication Year :
2020

Abstract

Given AI's growing role in modeling and improving decision-making, how and when to present users with feedback is an urgent topic to address. We empirically examined the effect of feedback from false AI on moral decision-making about donor kidney allocation. We found some evidence that judgments about whether a patient should receive a kidney can be influenced by feedback about participants' own decision-making perceived to be given by AI, even if the feedback is entirely random. We also discovered different effects between assessments presented as being from human experts and assessments presented as being from AI.

Details

Database :
arXiv
Journal :
Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES '20)
Publication Type :
Report
Accession number :
edsarx.2001.09766
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3375627.3375870