New paper models how AI alignment could lock in values as social norms evolve
weballergy · x · 2026-07-22
We’re sharing recent work on AI Value Alignment for Evolving Social Norms.
- The paper argues that alignment cannot be treated as a static target when user values and social norms keep changing.
- It uses macro, population-level models plus simulations to study how AI assistants may shape long-run value trajectories.
- The authors frame this as a preliminary but testable “social physics” approach, enabled by cheaper AI coding tools.
- They highlight the need for adaptive personalization and alignment methods that let users form their own views without being frozen into historical values.
Related event: Scholars Propose "Reverse Alignment" and Warn Against Static Alignment(11 posts)→
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