Title
Distributed Governance of Medical AI
Document Type
Article
Publication Date
2022
Abstract
Artificial intelligence (AI) has the potential to democratize expertise in medicine, bring expertise previously limited to specialists to a variety of health-care settings. But AI can easily falter, and making sure that AI works well across that variety of settings is a challenging task. Centralized governance, such as review by the Food and Drug Administration, can only do so much, since system performance will depend on the particular health-care setting and how the AI system is integrated into setting-specific clinical workflows. This Essay presents the need for distributed governance, where some oversight tasks are undertaken in localized settings. It points out the resource-based challenges of such governance and offers policy suggestions to ease the burden.
Recommended Citation
Price, W. Nicholson, II. "Distributed Governance of Medical AI." Southern Methodist University Science & Technology Law Review 25, no. 1 (2022): 3-21.