Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction
Most approaches to AI alignment treat human preferences as fixed targets to be inferred and optimized. This assumption conflicts with extensive empirical evidence showing that preferences are layered, dynamic, and constructed through interaction--particularly with adaptive technologies. As AI systems become more persistent, personalized, and socially embedded, they increasingly participate in shaping what people attend to, value, and endorse over time. We introduce Constructive Alignment, a para
Record details
Published: 1 April 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (1 April 2026), “Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction,” evidence record 6486, https://ethics.ai/record/6486 (originally published by arXiv).
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