人工智能:衡量人工智能“评估”对道德决策的影响

Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong
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引用次数: 4

摘要

鉴于人工智能在建模和改进决策方面的作用越来越大,如何以及何时向用户提供反馈是一个迫切需要解决的话题。我们通过实证检验了虚假人工智能的反馈对捐赠肾分配道德决策的影响。我们发现一些证据表明,关于患者是否应该接受肾脏移植的判断可能会受到参与者自己的决策反馈的影响,这些反馈被认为是人工智能给出的,即使这些反馈完全是随机的。我们还发现了来自人类专家的评估和来自人工智能的评估之间的不同影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making
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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