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

• URL: http://arxiv.org/abs/2001.09766v1
• Date: Mon, 13 Jan 2020 14:15:18 GMT
• Title: Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making
• Authors: Lok Chan, Kenzie Doyle, Duncan McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong
• Abstract summary: We 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.
• Score: 48.66982301902923
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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