Friesen, Phoebe;
Douglas‐Jones, Rachel;
Marks, Mason;
Pierce, Robin;
Fletcher, Katherine;
Mishra, Abhishek;
Lorimer, Jessica;
... Sallamuddin, Taj; + view all
(2021)
Governing AI‐Driven Health Research: Are IRBs Up to the Task?
Ethics & Human Research
, 43
(2)
pp. 35-42.
10.1002/eahr.500085.
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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.
| Type: | Article |
|---|---|
| Title: | Governing AI‐Driven Health Research: Are IRBs Up to the Task? |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/eahr.500085 |
| Publisher version: | https://doi.org/10.1002/eahr.500085 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | AI research oversight, artificial intelligence, ethics committees, health-related AI research, institutional review boards, research ethics, Artificial Intelligence, Ethics Committees, Research, Governing Board, Humans |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Applied Health Research UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10145753 |
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