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Using AI to create a reasonable facsimile of a person's personality
The interview interface. a) The primary interview interface: A 2D sprite representing the AI interviewer agent is displayed in a white circle that pulsates to match the extent of the audio, visualizing the interviewer agent’s speech in the course of the AI interviewer’s flip. b) Participant’s response: The 2D sprite of the AI interviewer agent modifications right into a microphone emoji when it’s the participant’s flip to reply, with the white circle pulsating to match the extent of the participant’s audio being captured. c) Progress bar and subtitles: A 2D sprite map reveals the participant’s visible avatar touring from one finish level to the opposite in a straight line, indicating progress. The interface additionally options choices to show subtitles or pause the interview. Credit score: arXiv (2024). DOI: 10.48550/arxiv.2411.10109

A small crew of pc scientists and sociologists, working with Google DeepMind, has developed an AI utility that may generate a simulation of an individual’s character after interviewing them for simply two hours. The group has written a paper describing their work and the place they imagine such efforts are heading; it’s obtainable on the arXiv preprint server.

As scientists proceed to push the boundaries of AI analysis, they proceed to seek out new and attention-grabbing purposes. On this newest effort, the analysis crew used the LLM mannequin ChatGPT as a foundation for creating a brand new mannequin that can be utilized to be taught sufficient about an individual being interviewed and to precisely give solutions that the identical particular person would have given if requested.

The mannequin works by asking a string of inquiries to a given particular person and listening to the solutions. After two hours, the mannequin stops and processes what it has heard. It then generates a simulated for the one that was simply interviewed.

It’s then examined by asking the simulated character many various questions, then asking the unique particular person the identical questions and evaluating the solutions they gave. Up to now, the researchers have discovered an accuracy price of roughly 85%.

The analysis crew notes that their intention is to not make folks redundant however to make sociology analysis simpler. The primary software obtainable to is surveys. Growing them, writing them up, giving them, after which analyzing them to be taught one thing a few given group of individuals is time-consuming and costly.

The researchers on this new effort surprise if it could be potential to seize how folks view issues or their opinion on them after which use these captured views as the idea for surveys—if that’s the case, they’d be far cheaper. And that will permit for a lot of extra surveys to be carried out, significantly increasing understanding of the largest points going through a given society.

The crew developed their mannequin by paying a thousand folks to sit down for interviews with their system. They name the simulated personalities “brokers,” which they observe are nothing just like the AI brokers (or assistants) at present used to assist folks get their work finished. It’s notable, nonetheless, that related fashions could possibly be used to vastly enhance the utility of labor brokers or, sometime, maybe, to assist private robots higher work together with their human companions.

Extra data:
Joon Sung Park et al, Generative Agent Simulations of 1,000 Folks, arXiv (2024). DOI: 10.48550/arxiv.2411.10109

Journal data:
arXiv


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AI can create an affordable facsimile of an individual’s character after two-hour interview (2024, November 28)
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