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Governing AI‐Driven Health Research: Are IRBs Up to the Task?
Author(s) -
Friesen Phoebe,
DouglasJones Rachel,
Marks Mason,
Pierce Robin,
Fletcher Katherine,
Mishra Abhishek,
Lorimer Jessica,
Véliz Carissa,
Hallowell Nina,
Graham Mackenzie,
Chan Mei Sum,
Davies Huw,
Sallamuddin Taj
Publication year - 2021
Publication title -
ethics and human research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 32
eISSN - 2578-2363
pISSN - 2578-2355
DOI - 10.1002/eahr.500085
Subject(s) - corporate governance , task (project management) , order (exchange) , engineering ethics , mechanism (biology) , political science , research ethics , public relations , knowledge management , management science , computer science , business , management , engineering , epistemology , economics , philosophy , finance
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.