School of Health Policy and Management, York University, Toronto, Canada.
Faculty of Social Work, University of Calgary, Calgary, Canada.
Stud Health Technol Inform. 2024 Aug 22;316:556-559. doi: 10.3233/SHTI240475.
This scoping review examines current research on AI for inclusive design for people with disabilities. We identified both advantages and challenges of AI-based solutions and suggested future research directions. Our search of four online databases for studies from the last five years revealed promising AI applications in education, daily living, home environments, workplaces, and healthcare. However, limitations include limited research, lack of user involvement, potential data bias, and reporting deficiencies. We stress the importance of future research prioritizing user-centered design, inclusive participation, AI bias mitigation, consideration of diverse populations, and ensuring user-friendly performance to fully realize AI's potential for accessibility and inclusion.
本范围综述考察了当前人工智能在残疾人士包容性设计方面的研究。我们确定了基于人工智能的解决方案的优势和挑战,并提出了未来的研究方向。我们在四个在线数据库中搜索了过去五年的研究,发现人工智能在教育、日常生活、家庭环境、工作场所和医疗保健方面有很有前景的应用。然而,局限性包括研究有限、缺乏用户参与、潜在的数据偏差和报告不足。我们强调未来研究的重要性,优先考虑以用户为中心的设计、包容性参与、人工智能偏差缓解、考虑不同人群以及确保用户友好的性能,以充分实现人工智能在可及性和包容性方面的潜力。