监管与健康相关的人工智能的安全性。

IF 1.8 3区 农林科学 Q2 FORESTRY Scandinavian Journal of Forest Research Pub Date : 2022-05-01 DOI:10.12927/hcpol.2022.26824
Michael Da Silva, Colleen M Flood, Anna Goldenberg, Devin Singh
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引用次数: 0

摘要

本文分析了加拿大目前对与健康相关的人工智能(AI)的监管方法能否应对相关的安全挑战。文章主要关注加拿大卫生部对人工智能医疗设备的监管,研究现有监管方法能否充分解决一般安全问题,以及与算法偏差有关的问题,以及这些问题与隐私和安全利益交叉所带来的挑战。报告指出了若干问题,并提出了改革建议,旨在确保加拿大人能够获得有益的人工智能,同时将不安全的产品拒之于加拿大市场之外,并鼓励为适当的目的和人群安全、有效地使用人工智能产品。
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Regulating the Safety of Health-Related Artificial Intelligence.

This article analyzes whether Canada's present approach to regulating health-related artificial intelligence (AI) can address relevant safety-related challenges. Focusing primarily on Health Canada's regulation of medical devices with AI, it examines whether the existing regulatory approach can adequately address general safety concerns, as well as those related to algorithmic bias and challenges posed by the intersections of these concerns with privacy and security interests. It identifies several issues and proposes reforms that aim to ensure that Canadians can access beneficial AI while keeping unsafe products off Canadian markets and motivating safe, effective use of AI products for appropriate purposes and populations.

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来源期刊
CiteScore
3.00
自引率
5.60%
发文量
26
审稿时长
3.3 months
期刊介绍: The Scandinavian Journal of Forest Research is a leading international research journal with a focus on forests and forestry in boreal and temperate regions worldwide.
期刊最新文献
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