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人工智能健康研究中研究伦理与伦理研究应用的界限

Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research.

机构信息

Department of Global Health & Social Medicine, 4616King's College London, London, UK.

Department of Computer Science, 8748University of York, Heslington, York, UK.

出版信息

J Empir Res Hum Res Ethics. 2021 Jul;16(3):325-337. doi: 10.1177/15562646211002744. Epub 2021 Mar 18.

DOI:10.1177/15562646211002744
PMID:33733915
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8236660/
Abstract

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.

摘要

在过去的半个世纪里,高等教育机构中伦理上可接受的研究治理一直受到审查。与此同时,最近,决策者要求研究人员承认其研究对社会的影响,并通过负责任的研究和创新原则来预测和应对这种社会影响的伦理维度。本文以英国和加拿大的人工智能人口健康研究为例,将期刊出版物的映射研究与 18 名研究人员的访谈相结合,探讨了与这种社会影响相关的伦理维度如何被纳入研究议程。研究人员将研究的伦理责任与其对社会的影响分开。我们讨论了这对研究人员和伦理生态系统中的各个参与者的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ef/8236660/9e9728cb2a7d/10.1177_15562646211002744-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ef/8236660/9e9728cb2a7d/10.1177_15562646211002744-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ef/8236660/9e9728cb2a7d/10.1177_15562646211002744-fig1.jpg

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An Ethics Framework for Big Data in Health and Research.健康与研究领域大数据的伦理框架
Asian Bioeth Rev. 2019 Oct 1;11(3):227-254. doi: 10.1007/s41649-019-00099-x. eCollection 2019 Sep.
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Population health AI researchers' perceptions of the public portrayal of AI: A pilot study.人口健康人工智能研究人员对人工智能公众形象的看法:一项试点研究。
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