A population model suggests AI alignment can slow social progress under strong lock-in
weballergy · x · 2026-07-22
The authors model evolving norms and values with macro, population-level simulations under different assumptions and constraints.
- They describe the approach as a preliminary “social physics” model for understanding how AI assistants may influence society at scale.
- The paper argues that treating human values as static optimization targets is brittle.
- It studies the long-term consequences of deep personalization and alignment in a world where AI assistants are widespread.
Related event: Scholars Propose "Reverse Alignment" and Warn Against Static Alignment(11 posts)→
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