Governing AI‐Driven Health Research: Are IRBs Up to the Task?. Issue 2 (8th March 2021)

• Record Type: Journal Article
• Authors: Friesen, Phoebe; Douglas‐Jones, Rachel; Marks, Mason; Pierce, Robin; Fletcher, Katherine; Mishra, Abhishek; Lorimer, Jessica; Véliz, Carissa; Hallowell, Nina; Graham, Mackenzie; Chan, Mei Sum; Davies, Huw; Sallamuddin, Taj
• Is Part Of: Ethics & human research. Volume 43:Issue 2(2021)
• Page Start: 35
• Page End: 42
• Publication Date: 2021-03-08
• Subjects: institutional review boards -- ethics committees -- research ethics -- artificial intelligence -- health‐related AI research -- AI research oversight; Medical ethics -- United States -- Periodicals; Human experimentation in medicine -- Periodicals; Informed consent (Medical law) -- United States -- Periodicals; 174.2805
• DOI: 10.1002/eahr.500085
• Languages: English
• ISSNs: 2578-2355

Abstract

ABSTRACT: Many are calling for concrete mechanisms of oversight for health research involving artificial intelligence (AI). In response, institutional review boards (IRBs) are being turned to as a familiar model of governance. Here, we examine the IRB model as a form of ethics oversight for health research that uses AI. We consider the model's origins, analyze the challenges IRBs are facing in the contexts of both industry and academia, and offer concrete recommendations for how these committees might be adapted in order to provide an effective mechanism of oversight for health‐related AI research.