Can AI Create a Replica of Your Personality in Just Two Hours?
New research from Stanford University and Google DeepMind reveals that AI can accurately replicate a person’s values and preferences with only a two-hour interview. These AI replica personality examples, called simulation agents, offer a new method for researchers in social sciences and other fields to conduct experiments that would be costly, impractical, or unethical to perform with real human subjects.
Simulation agents are distinct from tool-based agents, which dominate AI development today. Tool-based agents are designed to assist users by performing specific tasks, such as scheduling appointments or retrieving stored information.
By contrast, simulation agents aim to mimic human behaviors and personalities, enabling researchers to study real-world dynamics in controlled environments.
A New Frontier in AI Applications
John Horton, associate professor at MIT Sloan School of Management, highlighted the potential of simulation agents to revolutionize research. “This paper shows how you can do a kind of hybrid: use real humans to generate personas, which can then be used programmatically/in-simulation in ways you could not with real humans,” he explained.
These AI replica personality agents can be used to explore phenomena ranging from the spread of misinformation on social media to traffic congestion patterns. By simulating human behaviors, they provide a scalable and ethical alternative to involving actual participants in sensitive or large-scale studies.
The approach involves qualitative interviews to capture the nuances of individual personalities. “Two hours can be very powerful,” noted Park, a researcher involved in the study. He emphasized that interviews reveal unique details about individuals — such as life-changing experiences — that traditional surveys often fail to capture.
The Challenges and Risks of Personality Replication
Despite its promise, this AI replica personality technology raises ethical concerns. The ability to create AI models that replicate people’s personalities could be misused to impersonate individuals online, potentially leading to harmful consequences. These risks mirror those associated with deepfake technology, which has already demonstrated the dangers of unauthorized digital manipulation.
The evaluation methods used to validate these AI replicas also have limitations. Researchers relied on established tools such as the General Social Survey and assessments of Big Five personality traits. While effective for capturing broad behavioral patterns, these tools cannot fully encompass the intricacies of human individuality.
Behavioral replication tests, like the “dictator game,” further revealed gaps in the AI’s ability to mimic real human actions.
A More Accessible Path to Digital Twins
This research introduces a more efficient way to build digital twins — AI models designed to replicate individual personalities — than existing methods, which typically require vast datasets like emails or other digital footprints. Companies such as Tavus are exploring the potential of this streamlined approach.
“What was really cool here is that they show you might not need that much information,” said Tavus CEO Hassaan Raza, noting the potential to create digital twins using shorter, targeted interviews.
Ensuring ethical safeguards will be critical to preventing misuse while leveraging this innovation responsibly.