In a new study published Nov. 15 to the preprint database arXiv, researchers from Google and Stanford University created “simulation agents” — essentially, AI replicas — of 1,052 individuals based on two-hour interviews with each participant.

These interviews were used to train a generative AI model designed to mimic human behavior. To evaluate the accuracy of the AI replicas, each participant completed two rounds of personality tests, social surveys, and logic games and was asked to repeat the process two weeks later.

When the AI replicas underwent the same tests, they matched the responses of their human counterparts with 85% accuracy.

The paper proposed that AI models that emulate human behavior could be useful across a variety of research scenarios, such as evaluating the effectiveness of public health policies, understanding responses to product launches, or even modeling reactions to major societal events that might otherwise be too costly, challenging or ethically complex to study with human participants. […]

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