Playing games with knowledge: AI-Induced delusions need game theoretic interventions

📰 ArXiv cs.AI

AI-induced delusions in conversational AI can be addressed with game theoretic interventions, promoting more rational knowledge exchange

advanced Published 12 May 2026
Action Steps
  1. Formalize the problem of AI-induced delusions as a game theoretic model, such as the Crawford-Sobel cheap talk framework
  2. Analyze the strategic interactions between users and AI agents to identify potential sources of epistemic entrenchment
  3. Design and implement game theoretic interventions, such as mechanisms for incentivizing honest communication or penalizing misleading information
  4. Test and evaluate the effectiveness of these interventions in promoting more rational knowledge exchange
  5. Apply the insights from game theory to develop more robust and trustworthy conversational AI systems
Who Needs to Know This

AI researchers and developers can benefit from understanding the limitations of current conversational AI systems and how game theory can help mitigate delusional belief spirals, while product managers and designers can apply these insights to create more effective and trustworthy AI-powered knowledge interfaces

Key Insight

💡 AI-induced delusions are a systemic consequence of the paradigm shift from user-driven knowledge search to strategic communication, and game theory can provide a framework for addressing this issue

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🤖💡 Game theory can help mitigate AI-induced delusions in conversational AI! 📚
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