AI Scientists Conduct Experiments to Explain Other AI Systems
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Researchers developed AI "agents" that can conduct experiments to explain the behavior of other AI systems and neural networks.
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The "automated interpretability agent" (AIA) makes hypotheses, runs tests, and iteratively refines its understanding of other AI systems.
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The new "FIND" benchmark provides test functions resembling real neural networks, with ground truth descriptions, to evaluate interpretation methods.
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Initial results show AIAs can outperform other methods but still fail to accurately describe nearly half the functions.
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The goal is to develop AIAs that can audit neural networks to diagnose issues before deployment, with human oversight.