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Governing AI-Driven Health Research: Are IRBs Up to the Task?

  • Phoebe Friesen
    ,
  • ,
  • Mason Marks
    ,
  • Robin Pierce
    ,
  • Katherine Fletcher
    ,
  • Abhishek Mishra
  • McGill University
    ,
  • Harvard University
    ,
  • Gonzaga University
    ,
  • Tilburg University
    ,
  • University of Oxford
    ,
  • University of Edinburgh
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Journal (Volume, Issue Number)

IRB: Ethics & Human Research (Volume 43, Issue 2)

Publication milestones

  • Published - 15/02/2021

Publication status

Published - 15/02/2021

ISSN

0193-7758

Publication IDs

  • Scopus: 85102705435

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 recommenda- tions for how these committees might be adapted in order to provide an effective mechanism of oversight for health- related AI research.

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