AI发展需兼顾无障碍设计，保障残障群体参与与权益。
Accessibility Considerations in the Development of an AI Action Plan
- 将无障碍纳入AI研发全流程，包括开源协作与数据集构建
- 强调可访问界面与专用功能库，提升残障用户使用体验
- 关注残障相关数据隐私与算法偏见，防范新型歧视风险
我们主张在多个关键领域中体现无障碍：充分利用人工智能的新能力；支持人工智能的开源开发，使残障人士及专注残障领域的专业人士能够参与其中；开发无障碍应用，实现人工智能在无障碍领域的潜力；开展开源模型的开发与验证，确保算法中考虑无障碍问题；通过数据增强将无障碍纳入训练数据集；设计可访问界面，使残障人士能使用任何AI应用并验证其输出；提供专用功能与工具库，便于在各类场景和应用中集成AI支持；关注数据安全与隐私风险，包括基于人工智能的无障碍技术收集的数据，以及残障信息泄露的可能性；识别残障相关的AI风险与偏见，包括直接偏见（残障者使用AI时）和间接偏见（他人使用涉及残障者数据的AI时）。
原文摘要 · Abstract (English)
We argue that there is a need for Accessibility to be represented in several important domains: - Capitalize on the new capabilities AI provides - Support for open source development of AI, which can allow disabled and disability focused professionals to contribute, including - Development of Accessibility Apps which help realise the promise of AI in accessibility domains - Open Source Model Development and Validation to ensure that accessibility concerns are addressed in these algorithms - Data Augmentation to include accessibility in data sets used to train models - Accessible Interfaces that allow disabled people to use any AI app, and to validate its outputs - Dedicated Functionality and Libraries that can make it easy to integrate AI support into a variety of settings and apps. - Data security and privacy and privacy risks including data collected by AI based accessibility technologies; and the possibility of disability disclosure. - Disability-specific AI risks and biases including both direct bias (during AI use by the disabled person) and indirect bias (when AI is used by someone else on data relating to a disabled person).
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