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

  • Phoebe Friesen
  • , Rachel Douglas-Jones
  • , Mason Marks
  • , Robin Pierce
  • , Katherine Fletcher
  • , Abhishek Mishra
  • , Jessica Lorimer
  • , Carissa Véliz
  • , Nina Hallowell
  • , Mackenzie Graham
  • , Mei Sum Chan
  • , Huw Davies
  • , Taj Sallamuddin

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

    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.
    Original languageEnglish
    JournalIRB: Ethics & Human Research
    Volume43
    Issue number2
    ISSN0193-7758
    DOIs
    Publication statusPublished - 15 Feb 2021

    Keywords

    • Artificial Intelligence
    • Health Research
    • Ethics Oversight
    • Institutional Review Boards
    • Governance Mechanisms

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