The researchers from Stanford University, Northwestern University, the University of Washington, and Google DeepMind describe their work in a pre-prin

We can clone you wholesale: Boffins build ML agents that respond like specific people

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2024-11-26 15:00:07

The researchers from Stanford University, Northwestern University, the University of Washington, and Google DeepMind describe their work in a pre-print paper titled "Generative Agent Simulations of 1,000 People."

The US-based authors claim that by using their generative agent architecture, they were able to train generative AI models simulating at least 1,000 different people, such that the resulting models responded to a set of common social science survey questions in a way that closely matched the responses given by the people being simulated.

"We present a generative agent architecture that simulates more than 1,000 real individuals using two-hour qualitative interviews," the paper explains. "The architecture combines these interviews with a large language model to replicate individuals' attitudes and behaviors. By anchoring on individuals, we can measure accuracy by comparing simulated attitudes and behaviors to the actual attitudes and behaviors."

The two-hour interviews consisted of a series of interview questions developed by sociologists as part of the American Voices Project. They involved questions like "Tell me the story of your life – from your childhood, to education, to family and relationships, and to any major life events you may have had," and "How have you responded to the increased focus on race and/or racism and policing?"