School of Health Policy and Management, York University, Toronto, ON, Canada.
Master of Science in eHealth, McMaster University, Hamilton, ON, Canada.
Health Informatics J. 2024 Jul-Sep;30(3):14604582241285743. doi: 10.1177/14604582241285743.
Artificial intelligence (AI) can enhance life experiences and present challenges for people with disabilities. This study aims to investigate the relationship between AI and disability, exploring the potential benefits and challenges of using AI for people with disabilities. A systematic scoping review was conducted using eight online databases; 45 scholarly articles from the last 5 years were identified and selected for thematic analysis. The review's findings revealed AI's potential to enhance healthcare; however, it showed a high prevalence of a narrow medical model of disability and an ableist perspective in AI research. This raises concerns about the perpetuation of biases and discrimination against individuals with disabilities in the development and deployment of AI technologies. We recommend shifting towards a social model of disability, promoting interdisciplinary collaboration, addressing AI bias and discrimination, prioritizing privacy and security in AI development, focusing on accessibility and usability, investing in education and training, and advocating for robust policy and regulatory frameworks. The review emphasizes the urgent need for further research to ensure that AI benefits all members of society equitably and that future AI systems are designed with inclusivity and accessibility as core principles.
人工智能(AI)可以丰富生活体验,同时也给残疾人士带来挑战。本研究旨在探讨 AI 与残疾之间的关系,探索 AI 对残疾人士的潜在益处和挑战。我们采用系统范围的综述方法,使用了八个在线数据库;确定并选择了过去 5 年来的 45 篇学术文章进行主题分析。综述结果显示,AI 具有改善医疗保健的潜力;然而,AI 研究中存在着高度流行的狭隘医学残疾模式和对残疾人士的歧视性观点。这引发了人们对 AI 技术的开发和应用中对残疾人士的偏见和歧视持续存在的担忧。我们建议转向残疾的社会模式,促进跨学科合作,解决 AI 偏见和歧视问题,在 AI 开发中优先考虑隐私和安全,关注可及性和可用性,投资教育和培训,并倡导建立强有力的政策和监管框架。该综述强调需要进一步研究,以确保 AI 公平地使社会所有成员受益,并确保未来的 AI 系统以包容性和可及性为核心原则进行设计。