Plenary Panel Session: Human Language and Thought in the Era of Large Language Models
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Chair: APS President Randi C. Martin, Rice University
Moderator: L. Robert Slevc, University of Maryland, College Park
Speakers: Alexander Huth, The University of Texas at Austin, Laura Gwilliams, Stanford University, and Anna Ivanova, Georgia Institute of Technology
This panel brings together leading early career voices whose work engages with the relationship between human language and LLMs. How do these advances in language technologies influence how we think about and study the psychology and neurobiology of human language processing?
The capacity to rapidly communicate and think with language is a remarkable human ability that has been argued to separate humans from other forms of intelligence, biological or artificial. However, recent advances in artificial intelligence, specifically large language models (LLMs), appear to be approaching human-like performance. This symposium brings together leading early career voices whose work engages with the relationship between human language and LLMs. How do these advances in language technologies influence how we think about and study the psychology and neurobiology of human language processing?
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