AI accessibility tools have mostly been designed for individual use, helping one person overcome a specific functional barrier. But for many people with disabilities, complex tasks are accomplished through collaboration with others who bring complementary abilities, not solitary effort. We propose a three-layer framework, Channelling, Coordinating, and Co-Creating, that rethinks AI's role in ability-diverse collaboration: establishing shared informational ground across abilities, mediating workflows between collaborators with different abilities, and contributing as a bounded partner toward shared goals. Grounded in the Ability-Diverse Collaboration framework, grounding theory, and Carlile's 3T framework, it extends the ``agents as remote collaborators'' vision by centring the collaborative, interdependent ways people with disabilities already work.

翻译：人工智能无障碍工具大多为个人使用而设计，帮助个体克服特定功能性障碍。但对于许多残障人士而言，复杂任务往往通过与他人互补能力的协作完成，而非独自努力。我们提出一个三层框架——通道化（Channelling）、协调（Coordinating）与共创（Co-Creating）——重新思考AI在能力多样性协作中的角色：在不同能力间建立共享信息基础，调解能力各异协作者间的工作流，并作为有限合作伙伴共同达成目标。该框架基于能力多样性协作理论、扎根理论及Carlile的3T框架，通过聚焦残障人士已有的协作性、相互依存的工作方式，拓展了"智能体作为远程协作者"的愿景。