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Reasoning and reliability in AI

Reasoning and reliability in AI
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Reasoning and reliability in AI

PhD students Athul Paul Jacob, Maohao Shen, Victor Butoi, and Andi Peng, interning with the MIT-IBM Watson AI Lab, look to improve natural language usage in AI models so that the AI systems can be more dependable and accurate.

Automated system teaches users when to collaborate with an AI assistant

Boston MA (SPX) Dec 12, 2023 - Artificial intelligence models that pick out patterns in images can often do so better than human eyes - but not always. If a radiologist is using an AI model to help her determine whether a patient

Automated system teaches users when to collaborate with an AI assistant

A new onboarding technique from MIT can help humans collaborate more effectively with AI assistants. The process finds situations where the human either over-trusts or under-trusts the AI, describing these as natural language rules, and creates training exercises based on these rules to guide the user.

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