| Literature DB >> 33683015 |
Phoebe Friesen1, Rachel Douglas-Jones2, Mason Marks3, Robin Pierce4, Katherine Fletcher5, Abhishek Mishra6, Jessica Lorimer7, Carissa Véliz8, Nina Hallowell9, Mackenzie Graham10, Mei Sum Chan11, Huw Davies12, Taj Sallamuddin13.
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.Entities:
Keywords: AI research oversight; artificial intelligence; ethics committees; health-related AI research; institutional review boards; research ethics
Mesh:
Year: 2021 PMID: 33683015 DOI: 10.1002/eahr.500085
Source DB: PubMed Journal: Ethics Hum Res ISSN: 2578-2355