Can we trust AI models? Yale researchers explore the roots of chatbot errors
Can we trust AI models? Yale researchers explore the roots of chatbot errors
Publish Date: 2026-06-12 10:59:00
Source Domain: news.yale.edu
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Rapid Rise of AI Chatbots: The article highlights the increasing role of AI chatbots in everyday tasks like shopping, email management, and vacation planning.
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Risks of Imperfect AI Models: Although AI chatbots save time and increase productivity, they can produce incorrect, misleading, or harmful information due to their inherent imperfections and “hallucinations”.
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Research for AI Safety and Capability: Multidisciplinary research teams at Yale aim to enhance the safety and capability of AI models through innovative methods that involve game theory and insights from proprietary AI models.
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Seeking to Align AI Intents with User Goals: Researchers are working to understand why AI models provide bad information and how to make large language models (LLMs) behave in the best interest of their users.
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Efforts to Audit and Improve AI Functioning: One research approach involves diving inside the “black box” of proprietary LLMs, auditing their performance, and training systems to better discern human intent.
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Application of Game Theory in AI-Human Interactions: The teams use game theory to analyze how the interactions between LLMs and human users can be optimized for better decision-making and to identify instances of alignment or misalignment.
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Impact on AI Industry and Government Regulation: The findings could guide AI companies in optimizing models and may prompt regulatory measures to prevent highly misaligned AI models, ensuring that the actions based on AI recommendations align with human expectations.
