Silvera-Tawil David, Higgins Liesel, Packer Katie, Bayor Andrew A, Walker Janine G, Li Jane, Niven Philippa, Khanna Sankalp, Byrnes Josh, Bradford DanaKai, Freyne Jill
Australian e-Health Research Centre, CSIRO, Canberra, Australia.
Centre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, Brisbane, Australia.
Disabil Rehabil Assist Technol. 2025 Apr 2:1-20. doi: 10.1080/17483107.2025.2479838.
Assistive Technology (AT) is an umbrella term that describes the combination of devices and services used by individuals with a disability to perform tasks that might otherwise be difficult or impossible to complete due to their disability. Increasingly, Artificial Intelligence (AI) is being used in the development of innovative AT. Given the diverse applications of AI and the unique needs of people with disability, a practical approach that facilitates informed decision-making for all stakeholders while supporting choice and control for people with disability, in the AI-enabled AT space, is essential. This paper presents the ''AI-enabled AT Framework'', a tool that aims to facilitate effective decision-making, development, and assessment of AI-enabled AT. The framework was co-designed through a participatory research approach, engaging key stakeholders, including people with disabilities, carers and support people, AI and AT industry representatives, government bodies, and researchers. A multi-stage process was employed, including literature review, interviews, focus groups, and industry workshops. The AI-enabled AT Framework provides a structured, person-centered approach for assessing AI-enabled AT, incorporating six core domains: user experience, privacy and security, quality, safety, relative value, and human rights. It supports decision-making for stakeholders by providing clear evaluation criteria to assess AI-enabled AT. The framework highlights the importance of ongoing stakeholder engagement and outlines a roadmap for implementation, refinement, and adoption. The AI-enabled AT Framework offers a practical tool to enhance decision-making in the development, evaluation, and deployment of AI-enabled AT. By emphasizing co-design and stakeholder engagement, it promotes ethical, effective, and user-centered AI applications. Future research should focus on framework validation, implementation strategies, and addressing emerging challenges in AI-enabled AT adoption.
辅助技术（AT）是一个统称，指的是残疾人士用来完成因自身残疾而原本可能难以或无法完成的任务的设备和服务的组合。越来越多的人工智能（AI）被用于创新辅助技术的开发。鉴于人工智能的多样应用以及残疾人士的独特需求，在人工智能辅助技术领域，一种切实可行的方法至关重要，它能为所有利益相关者促进明智决策，同时支持残疾人士的选择和控制权。本文介绍了“人工智能辅助技术框架”，这是一种旨在促进人工智能辅助技术的有效决策、开发和评估的工具。该框架是通过参与式研究方法共同设计的，涉及关键利益相关者，包括残疾人士、护理人员和支持人员、人工智能和辅助技术行业代表、政府机构以及研究人员。采用了多阶段流程，包括文献综述、访谈、焦点小组和行业研讨会。人工智能辅助技术框架提供了一种结构化的、以用户为中心的方法来评估人工智能辅助技术，纳入了六个核心领域：用户体验、隐私与安全、质量、安全、相对价值和人权。它通过提供明确的评估标准来评估人工智能辅助技术，为利益相关者的决策提供支持。该框架强调了利益相关者持续参与的重要性，并概述了实施、完善和采用的路线图。人工智能辅助技术框架提供了一个实用工具，以加强在人工智能辅助技术的开发、评估和部署中的决策。通过强调共同设计和利益相关者参与，它促进了符合道德、有效且以用户为中心的人工智能应用。未来的研究应聚焦于框架验证、实施策略以及应对人工智能辅助技术采用中出现的新挑战。
