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AI agents help explain other AI systems

Boston MA (SPX) Jan 04, 2024 -
Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific challenges throughout history, rever

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AI agents help explain other AI systems

AI agents help explain other AI systems
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Joanna-materzynska , Antonio-torralba , Neil-chowdhury , Rott-shaham , Jacob-andreas , Martin-wattenberg , Tamar-rott-shaham , Watson-ai-lab , Artificial-intelligence-laboratory , Us-national-science-foundation , Amazon-research-award , Leadership-program

AI agents help explain other AI systems

AI agents help explain other AI systems
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Joanna-materzynska , Jacob-andreas , Martin-wattenberg , Sarah-schwettmann , Neil-chowdhury , Tamar-rott-shaham , Rott-shaham , Antonio-torralba , Harvard-university , Northeastern-university-assistant-professor-david-bau , Artificial-intelligence-laboratory , Department-of-electrical-engineering

AI agents help explain other AI systems

FIND (function interpretation and description) is a new technique for evaluating automated interpretability methods. Developed at MIT, the system uses artificial intelligence to automate the explanation of complex neural networks.

Antonio-torralba , Rott-shaham , Jacob-andreas , Tamar-rott-shaham , Joanna-materzynska , Martin-wattenberg , Neil-chowdhury , Watson-ai-lab , Artificial-intelligence-laboratory , Harvard-university , Northeastern-university-assistant-professor-david-bau , Department-of-electrical-engineering