PNAS Paper: Borrowing from Legal Interpretation to Reduce AI Alignment Loopholes
PeterHndrsn · x · 2026-07-31
A new paper published in PNAS reveals that frontier models interpret the same natural language principles in vastly different ways.
Drawing lessons from statutory interpretation in law, the researchers demonstrate that imposing interpretive constraints and automated rule refinement can significantly reduce loopholes and mitigate the risk of reward hacking in rule-based AI alignment.
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