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

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, Katherine Fletcher, Abhishek Mishra, Jessica Lorimer, Carissa Véliz, Nina Hallowell, Mackenzie Graham, Mei Sum Chan, Huw Davies, Taj Sallamuddin

Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Tidsskriftartikel › Forskning › peer 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.

Originalsprog	Engelsk
Tidsskrift	IRB: Ethics & Human Research
Vol/bind	43
Udgave nummer	2
ISSN	0193-7758
DOI	https://doi.org/10.1002/eahr.500085
Status	Udgivet - 15 feb. 2021

Emneord

Artificial Intelligence
Health Research
Ethics Oversight
Institutional Review Boards
Governance Mechanisms

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10.1002/eahr.500085

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Citationsformater

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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, Katherine

AU - Mishra, Abhishek

AU - Lorimer, Jessica

AU - Véliz, Carissa

AU - Hallowell, Nina

AU - Graham, Mackenzie

AU - Chan, Mei Sum

AU - Davies, Huw

AU - Sallamuddin, Taj

PY - 2021/2/15

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

KW - Artificial Intelligence

KW - Health Research

KW - Ethics Oversight

KW - Institutional Review Boards

KW - Governance Mechanisms

KW - Artificial Intelligence

KW - Health Research

KW - Ethics Oversight

KW - Institutional Review Boards

KW - Governance Mechanisms

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M3 - Journal article

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

Abstract

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