Artificial Intelligence (AI) is increasingly employed to enhance assistive technologies, yet it can fail in various ways. We conducted a systematic literature review of research into AI-based assistive technology for persons with visual impairments. Our study shows that most proposed technologies with a testable prototype have not been evaluated in a human study with members of the sight-loss community. Furthermore, many studies did not consider or report failure cases or possible risks. These findings highlight the importance of inclusive system evaluations and the necessity of standardizing methods for presenting and analyzing failure cases and threats when developing AI-based assistive technologies.

翻译：人工智能（AI）日益广泛地应用于增强辅助技术，但其可能存在多种失效方式。我们对面向视障人士的基于人工智能的辅助技术研究进行了系统性文献综述。我们的研究表明，大多数已提出并具备可测试原型的技术尚未在包含视障人士群体成员的人体研究中得到评估。此外，许多研究未考虑或报告失效案例或潜在风险。这些发现突显了包容性系统评估的重要性，以及在开发基于人工智能的辅助技术时，标准化呈现和分析失效案例及威胁方法的必要性。