Peer-Reviewed Publication
NPJ Digit Med2023;6(1):185.October 6, 2023Journal Article
Autonomous AI systems in the face of liability, regulations and costs.
Agustina D Saenz1,2,3, Zach Harned4,5, Oishi Banerjee1, Michael D Abràmoff6,7,8,9, Pranav Rajpurkar10
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
2Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
3Department of Medicine, Harvard Medical School, Boston, MA, USA.
4Center for Artificial Intelligence in Medicine & Imaging, Stanford University, Palo Alto, CA, USA.
5Fenwick & West LLP, Mountain View, CA, USA.
6Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
7Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA.
8Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA.
9Digital Diagnostics Inc, Coralville, IA, USA.
10Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. pranav_rajpurkar@hms.harvard.edu.
Abstract
Autonomous AI systems in medicine promise improved outcomes but raise concerns about liability, regulation, and costs. With the advent of large-language models, which can understand and generate medical text, the urgency for addressing these concerns increases as they create opportunities for more sophisticated autonomous AI systems. This perspective explores the liability implications for physici…
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