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Project

People Overtrust AI-Generated Medical Advice despite Low Accuracy

Copyright

MIT Media Lab

MIT Media Lab

This project presents a comprehensive analysis of how artificial intelligence (AI)–generated medical responses are perceived and evaluated by nonexperts.

Methods

We conducted a study in which a total of 300 participants gave evaluations for medical responses that were either written by a medical doctor on an online health care platform or generated by a large language model and labeled by physicians as having high accuracy or low accuracy.

Results

Results showed that participants could not effectively distinguish between AI-generated responses and doctors’ responses and demonstrated a preference for AI-generated responses, rating high-accuracy AI-generated responses as significantly more valid, trustworthy, and complete/satisfactory. Low-accuracy AI-generated responses on average performed very similarly to doctors’ responses. Participants not only found these low-accuracy AI-generated responses to be valid, trustworthy, and complete/satisfactory, but also indicated a high tendency to follow the potentially harmful medical advice and incorrectly seek unnecessary medical attention as a result of the response provided. This problematic reaction was comparable with, if not stronger than, the reaction they displayed toward doctors’ responses. Both experts and nonexperts exhibited bias, finding AI-generated responses to be more thorough and accurate than doctors’ responses but still valuing the involvement of a doctor in the delivery of their medical advice.

Conclusions

The increased trust placed in inaccurate or inappropriate AI-generated medical advice can lead to misdiagnosis and harmful consequences for individuals seeking help. Further, participants were more trusting of high-accuracy AI-generated responses when told they were given by a doctor, and experts rated AI-generated responses significantly higher when the source of the response was unknown. Ultimately, AI systems should be implemented in collaboration with medical professionals when used for the delivery of medical advice in order to prevent misinformation while reaping the benefits of such cutting-edge technology.