AI, Pluralism, and (Social) Compensation
April 30, 2024 Β· Declared Dead Β· + Add venue
"No code URL or promise found in abstract"
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Authors
Nandhini Swaminathan, David Danks
arXiv ID
2404.19256
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CY,
cs.GT,
cs.HC,
cs.LG,
cs.MA
Citations
0
Last Checked
4 months ago
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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