Aran Nayebi discusses a NeuroAI update to the Turing test

In this “Brain Inspired” episode, Aran Nayebi, assistant professor of machine learning at Carnegie Mellon University, joins Paul Middlebrooks to discuss his reverse-engineering approach to build autonomous artificial-intelligence agents. Nayebi also argues the famous Turing test should be updated for NeuroAI, to ensure AI models not only perform tasks like their biological counterparts, but also share similar neural network activity patterns.

Read the transcript.