AINeutralarXiv – CS AI · 10h ago6/10
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Quantifying Theoretical AI Alignment Guarantees: Receiver-Utility Bounds in Bayesian Persuasion
Researchers prove theoretical bounds on how much useful information reaches humans when AI agents are misaligned and strategically withhold or distort evidence. The study establishes that receiver utility degrades by at most 50% under worst-case misalignment, with tighter bounds for certain prior distributions, providing quantifiable guarantees for AI alignment scenarios.