AI, Pluralism, and (Social) Compensation

• URL: http://arxiv.org/abs/2404.19256v2
• Date: Tue, 15 Oct 2024 22:32:47 GMT
• Title: AI, Pluralism, and (Social) Compensation
• Authors: Nandhini Swaminathan, David Danks,
• Abstract summary: A strategy in response to pluralistic values in a user population is to personalize an AI system. If the AI can adapt to the specific values of each individual, then we can potentially avoid many of the challenges of pluralism. However, if there is an external measure of success for the human-AI team, then the adaptive AI system may develop strategies to compensate for its human teammate.
• Score: 1.5442389863546546
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: One strategy in response to pluralistic values in a user population is to personalize an AI system: if the AI can adapt to the specific values of each individual, then we can potentially avoid many of the challenges of pluralism. Unfortunately, this approach creates a significant ethical issue: if there is an external measure of success for the human-AI team, then the adaptive AI system may develop strategies (sometimes deceptive) to compensate for its human teammate. This phenomenon can be viewed as a form of social compensation, where the AI makes decisions based not on predefined goals but on its human partner's deficiencies in relation to the team's performance objectives. We provide a practical ethical analysis of the conditions in which such compensation may nonetheless be justifiable.

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