Stanford University researchers have developed AI agents that can predict human behavior with remarkable accuracy. A recent study, led by Dr. Joon Sung Park and his team, demonstrates that a two-hour interview provides enough data for AI to replicate human decision-making patterns with 85% normalized accuracy.

Digital clones of a physical person go beyond deepfakes or "low-rank adaptations" known as LoRAs. These accurate representations of personalities could be used to profile users and test their responses to various stimuli, from political campaigns to policy proposals, mood assessments, and even more lifelike versions of current AI avatars.

The research team recruited 1,052 Americans, carefully selected to represent diverse demographics across age, gender, race, region, education, and political ideology. Each participant engaged in a two-hour conversation with an AI interviewer, producing transcripts averaging 6,491 words. The interviews, following a modified version of the American Voices Project protocol, explored participants' life stories, values, and perspectives on current social issues.

And that’s all you need to be profiled and have a clone.

But unlike other studies, the researchers took a different approach to processing interview data. Instead of simply feeding raw transcripts into their systems, researchers developed an "expert reflection" module. This analysis tool exam...