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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Sep 11, 2019
Date Accepted: Oct 12, 2019

The final, peer-reviewed published version of this preprint can be found here:

Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test

Powell J

Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test

J Med Internet Res 2019;21(10):e16222

DOI: 10.2196/16222

PMID: 31661083

PMCID: 6914236

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Trust me I’m a chatbot: why AI in healthcare won’t pass the Turing test

  • John Powell

ABSTRACT

Over the next decade one issue which will dominate sociotechnical studies in health informatics is the extent to which the promise of artificial intelligence in healthcare will be realised, and the social and ethical issues which accompany this. A useful thought experiment is the application of the ‘Turing test’ to user-facing artificial intelligence systems in healthcare. In this paper I argue that many medical decisions require value judgements and the doctor-patient relationship requires empathy and understanding to arrive at a shared decision, often handling large areas of uncertainty and balancing competing risks. Arguably, medicine requires wisdom more than intelligence, artificial or otherwise. Artificial intelligence therefore needs to supplement rather than replace medical professionals and identifying the complementary positioning of artificial intelligence in medical consultation is a key challenge for the future. In healthcare, artificial intelligence needs to pass the implementation game, not the imitation game.


 Citation

Please cite as:

Powell J

Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test

J Med Internet Res 2019;21(10):e16222

DOI: 10.2196/16222

PMID: 31661083

PMCID: 6914236

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