让助盲智能体真正可用，需从设计源头对齐无障碍需求。
Position: Assistive Agents Need Accessibility Alignment
- 将无障碍性视为核心对齐问题，而非次要功能。
- 基于778个任务分析，发现现有系统因视觉假设导致失效。
- 提出全生命周期设计流程，推动包容性智能体发展。
为视障用户设计的辅助智能体必须将无障碍性作为首要设计目标。尽管代理型AI进展迅速，但多数系统仍基于有视力用户的交互假设、低成本验证和可容忍试错来构建，导致在辅助场景中出现系统性失败，仅靠模型扩展或事后界面调整无法解决。通过对先前研究中778个辅助任务实例的分析，我们发现当前代理型AI在辅助场景中仍易失效，根源在于有视力用户的设计假设与视障用户在验证、风险及交互上的约束不匹配。我们主张将无障碍性视为对齐问题，而非边缘化可用性议题。为此，我们提出无障碍对齐概念，并设计了一套涵盖用户研究、系统设计、部署及部署后迭代的全生命周期设计流程。结论指出，以视障用户为中心的辅助任务是检验代理型AI的关键压力测试，也推动更广泛的包容性智能体设计转型。
原文摘要 · Abstract (English)
Assistive agents for Blind and Visually Impaired (BVI) users require accessibility alignment as a first-class design objective. Despite rapid progress in agentic AI, most systems are designed and evaluated under assumptions of sighted interaction, low-cost verification, and tolerable trial-and-error, leading to systematic failures in assistive scenarios that cannot be resolved by model scaling or post-hoc interface adaptations alone. Drawing on an analysis of 778 assistance task instances from prior work, we show that current agentic AI remain prone to failure in assistive scenarios due to mismatches between sighted-user design assumptions and the verification, risk, and interaction constraints faced by BVI users. We argue that accessibility should be treated as an alignment problem rather than a peripheral usability concern. To this end, we introduce accessibility alignment and propose a lifecycle-oriented design pipeline for accessibility-aligned assistive agents, spanning user research, system design, deployment and post-deployment iteration. We conclude that BVI-centered assistive tasks provide a critical stress test for agentic AI and motivate a broader shift toward inclusive agent design.
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