Ezra Hale Lecture Series on AI: Does AI work like the brain?
Does AI work like the brain? An exploration through neurons, attention, and consciousness
Abstract: Increasingly impressive artificial intelligence (AI) systems are being built with artificial neural networks (ANNs) as their base. ANNs, as their name suggests, were originally inspired by how real neurons work. To what extent do modern AI systems with all of their artificial neurons work like the brain? And how can we know? I will discuss the history of how AI and neuroscience have interacted and a variety of current works at the NeuroAI intersection, including studies on the visual system and attention. I will end with a brief discussion of a recent speculative report on the use of neuroscience theories to determine if an AI system is conscious.
Bio: Grace Lindsay an Assistant Professor of Psychology and Data Science and Principle Investigator of The Lindsay Lab at New York University. Her lab studies the brain by using artificial neural networks as models of biological information processing. She also works separately on machine learning for climate change applications. After earning a BS in neuroscience from the University of Pittsburgh and spending a year at the Bernstein Center for Computational Neuroscience in Freiburg, Germany, she received her PhD at the Center for Theoretical Neuroscience at Columbia University in the lab of Ken Miller. Afterward, Lindsay was a Sainsbury Wellcome Centre/Gatsby Computational Neuroscience Unit Research Fellow at University College London. Lindsay is also the author of Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain, published in 2021.
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