Neuroscientist Dr. Kevin Chen argues that artificial neural networks provide genuine insight into biological cognition because they face similar computational constraints.
Which AI-neuroscience comparison would best support Chen's insight claim?
AI has advanced rapidly
Neural networks trained on vision develop receptive fields matching biological neurons; face recognition failures in AI mirror human prosopagnosia patterns; and AI language models make similar errors to aphasic patients—convergent constraints produce convergent solutions
Computers process information
Neuroscience studies brains
Correct Answer: B
Choice B is the best answer. Multiple convergent patterns across different domains proves constraint-driven similarity.
đź’ˇ Strategy: Claims about insight from models need similarity in specific mechanisms and failures.