AINeutralarXiv – CS AI · 9h ago7/10
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A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing
Researchers introduce PERSUASIONTRACE, a framework for studying how large language models persuade humans across multi-turn conversations by tracking belief changes in real-time rather than just measuring pre/post outcomes. The study reveals that humans cluster into predictable persuasion patterns and that a Bayesian-network simulator better replicates authentic human belief dynamics than vanilla LLMs, with implications for both AI safety and persuasion research methodology.