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

Technologies in Practice

Research output: Journal Article or Conference Article in Journal › Journal article › Research › 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.

Original language	English
Journal	IRB: Ethics & Human Research
Volume	43
Issue number	2
ISSN	0193-7758
DOIs	https://doi.org/10.1002/eahr.500085
Publication status	Published - 15 Feb 2021

Keywords

Artificial Intelligence
Health Research
Ethics Oversight
Institutional Review Boards
Governance Mechanisms

Access to Document

10.1002/eahr.500085

Governing AI Driven Health Research: Are IRBs up to the Task?Submitted manuscript, 55.4 KB

Cite this

@article{76079eb524b047d7bed22060f69e3be8,

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{\textquoteright}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.",

keywords = "Artificial Intelligence, Health Research, Ethics Oversight, Institutional Review Boards, Governance Mechanisms, Artificial Intelligence, Health Research, Ethics Oversight, Institutional Review Boards, Governance Mechanisms",

author = "Phoebe Friesen and Rachel Douglas-Jones and Mason Marks and Robin Pierce and Katherine Fletcher and Abhishek Mishra and Jessica Lorimer and Carissa V{\'e}liz and Nina Hallowell and Mackenzie Graham and Chan, {Mei Sum} and Huw Davies and Taj Sallamuddin",

year = "2021",

month = feb,

day = "15",

doi = "10.1002/eahr.500085",

language = "English",

volume = "43",

journal = "IRB: Ethics & Human Research",

issn = "0193-7758",

publisher = "Hastings Center",

number = "2",

}

TY - JOUR

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

Y1 - 2021/2/15

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

U2 - 10.1002/eahr.500085

DO - 10.1002/eahr.500085

M3 - Journal article

SN - 0193-7758

VL - 43

JO - IRB: Ethics & Human Research

JF - IRB: Ethics & Human Research

IS - 2

ER -

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

Abstract

Keywords

Access to Document

Fingerprint

Cite this