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Updated: Jul 30, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Can AI language models replace human participants?
Danica Dillion1, Niket Tandon2, Yuling Gu2
1University of North Carolina, Department of Psychology and Neuroscience, Chapel Hill, NC 27599-3270, USA.
Abstract:
Recent work suggests that language models such as GPT can make human-like judgments across a number of domains. We explore whether and when language models might replace human participants in psychological science. We review nascent research, provide a theoretical model, and outline caveats of using AI as a participant.
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