Anawati Alex, Fleming Holly, Mertz Megan, Bertrand Jillian, Dumond Jennifer, Myles Sophia, Leblanc Joseph, Ross Brian, Lamoureux Daniel, Patel Div, Carrier Renald, Cameron Erin
Dr. Gilles Arcand Centre for Health Equity, NOSM University, Thunder Bay/Sudbury, Ontario, Canada.
Clinical Sciences Division, NOSM University, Sudbury/Thunder Bay, Ontario, Canada.
PLOS Digit Health. 2024 Sep 12;3(9):e0000597. doi: 10.1371/journal.pdig.0000597. eCollection 2024 Sep.
Situated within a larger project entitled "Exploring the Need for a Uniquely Different Approach in Northern Ontario: A Study of Socially Accountable Artificial Intelligence," this rapid review provides a broad look into how social accountability as an equity-oriented health policy strategy is guiding artificial intelligence (AI) across the Canadian health care landscape, particularly for marginalized regions and populations. This review synthesizes existing literature to answer the question: How is AI present and impacted by social accountability across the health care landscape in Canada?
A multidisciplinary expert panel with experience in diverse health care roles and computer sciences was assembled from multiple institutions in Northern Ontario to guide the study design and research team. A search strategy was developed that broadly reflected the concepts of social accountability, AI and health care in Canada. EMBASE and Medline databases were searched for articles, which were reviewed for inclusion by 2 independent reviewers. Search results, a description of the studies, and a thematic analysis of the included studies were reported as the primary outcome.
The search strategy yielded 679 articles of which 36 relevant studies were included. There were no studies identified that were guided by a comprehensive, equity-oriented social accountability strategy. Three major themes emerged from the thematic analysis: (1) designing equity into AI; (2) policies and regulations for AI; and (3) the inclusion of community voices in the implementation of AI in health care. Across the 3 main themes, equity, marginalized populations, and the need for community and partner engagement were frequently referenced, which are key concepts of a social accountability strategy.
The findings suggest that unless there is a course correction, AI in the Canadian health care landscape will worsen the digital divide and health inequity. Social accountability as an equity-oriented strategy for AI could catalyze many of the changes required to prevent a worsening of the digital divide caused by the AI revolution in health care in Canada and should raise concerns for other global contexts.
本快速综述是“探索安大略省北部独特不同方法的必要性:社会问责人工智能研究”这一更大项目的一部分,它全面审视了社会问责作为一种以公平为导向的卫生政策战略如何在加拿大医疗保健领域指导人工智能(AI)的发展,特别是针对边缘化地区和人群。本综述综合现有文献以回答以下问题:在加拿大医疗保健领域,人工智能是如何呈现的,以及它如何受到社会问责的影响?
一个由安大略省北部多个机构中具有不同医疗保健角色和计算机科学经验的多学科专家小组组成,以指导研究设计和研究团队。制定了一种搜索策略,该策略广泛反映了加拿大社会问责、人工智能和医疗保健的概念。在EMBASE和Medline数据库中搜索文章,由2名独立评审员对文章进行纳入审查。搜索结果、研究描述以及对纳入研究的主题分析作为主要结果进行报告。
搜索策略共产生679篇文章,其中纳入了36项相关研究。未发现有研究以全面的、以公平为导向的社会问责战略为指导。主题分析出现了三个主要主题:(1)将公平设计到人工智能中;(2)人工智能的政策和法规;(3)在医疗保健中人工智能实施过程中纳入社区声音。在这三个主要主题中,公平、边缘化人群以及社区和合作伙伴参与的必要性经常被提及,这些都是社会问责战略的关键概念。
研究结果表明,除非进行方向调整,加拿大医疗保健领域的人工智能将加剧数字鸿沟和健康不平等。社会问责作为一种针对人工智能的以公平为导向的战略,可以推动许多必要的变革,以防止加拿大医疗保健领域的人工智能革命导致数字鸿沟恶化,并且应该引起其他全球背景下的关注。