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Accuracy and Uncertainty in Machine Deception Detection (Research White Paper)

Chang, Heng-Sheng
arXiv (All) · Papers
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artificial-intelligencecryptography-and-securitymachine-learning
A deception detector is only as useful as the trust its alarms deserve. Like a polygraph, detectors that read a language model's internal activations can catch deceptive responses that look honest. Yet current detectors depend on which layers they read, weaken on broader tests, and do not state how
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