AnalysisPolicyOctober 9, 2026

Formula Predicts When AI Chatbots Are at Risk of Turning Bad

Read original source →securityweek.com

George Washington University researchers Neil Johnson and Frank (Yingjie) Huo published a paper on predicting when a chatbot goes rogue, focused on offline personal AI companions. They argue slippage stems from competition in the Attention head between conversation context and competing output basins, and offer a formula estimating the number of good outputs before the first bad one.

People · Neil Johnson, Frank (Yingjie) Huo

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