Governing AI-driven health research: Are IRBs up to the task?

Phoebe Friesen; Rachel Douglas-Jones; Mason Marks; Robin Pierce; Kathryn Fletcher; Abhishek Mishra; Jessica Lorimer; Carissa Veliz; Nina Hallowell; Mackenzie Graham; Mei Sum Chan; Huw  Davies; Taj Sallamuddin

doi:10.1002/eahr.500085

Governing AI-driven health research: Are IRBs up to the task?

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

^*Corresponding author for this work

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9 Citations (Scopus)

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.

Original language	English
Pages (from-to)	35-42
Number of pages	8
Journal	Ethics and Human Research
Volume	43
Issue number	2
DOIs	https://doi.org/10.1002/eahr.500085
Publication status	Published - Mar 2021

Keywords

Research ethics

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10.1002/eahr.500085

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title = "Governing AI-driven health research: Are IRBs up to the task?",

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.",

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T1 - Governing AI-driven health research

T2 - Are IRBs up to the task?

AU - Friesen, Phoebe

AU - Douglas-Jones, Rachel

AU - Marks, Mason

AU - Pierce, Robin

AU - Fletcher, Kathryn

AU - Mishra, Abhishek

AU - Lorimer, Jessica

AU - Veliz, Carissa

AU - Hallowell, Nina

AU - Graham, Mackenzie

AU - Chan, Mei Sum

AU - Davies, Huw

AU - Sallamuddin, Taj

PY - 2021/3

Y1 - 2021/3

N2 - 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.

AB - 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.

KW - Research ethics

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ER -

Governing AI-driven health research: Are IRBs up to the task?

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Regulating Socio-Technical Change

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Governing AI-driven health research: Are IRBs up to the task?

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Regulating Socio-Technical Change

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