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Fix article reference for Adrian Roselli #4380

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tunetheweb merged 3 commits into from
Jan 17, 2026
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Fix article reference for Adrian Roselli #4380

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9b034c0
Fix article reference for Adrian Roselli
tricinel Jan 16, 2026
5adb94f
Fix typo
tricinel Jan 16, 2026
91e328e
Update src/content/en/2025/accessibility.md
tunetheweb Jan 17, 2026
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4 changes: 2 additions & 2 deletions src/content/en/2025/accessibility.md
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Expand Up @@ -858,7 +858,7 @@ Experts like Joe Dolson have explored whether <a hreflang="en" href="https://wpb

Hidde de Vries <a hreflang="en" href="https://hidde.blog/ai-for-accessible-components/">contrasts how humans and language models approach accessible component code</a>. Humans base HTML, CSS, and ARIA decisions on specifications, user needs, assistive technology behavior, and platform quirks, all guided by intentions for the interface. LLMs instead predict likely code from training data, which is problematic because most existing code has accessibility issues, and the models lack intent or understanding of specific users.

Adrian Roselli acknowledges that recent advances in computer vision and LLMs have brought real benefits, such as better image descriptions and improved captions and summaries. However, he argues <a hreflang="en" href="https://adrianroselli.com/2023/06/no-ai-will-not-fix-accessibility.html">these tools still lack context and authorship</a>. They can't know why content was created, what a joke or meme depends on, or how an interface is meant to work. Their descriptions and code suggestions can easily miss the point or mislead users.
Adrian Roselli acknowledges that recent advances in computer vision and LLMs can potentially help readers distill complex articles into understandable summaries. However, he argues <a hreflang="en" href="https://adrianroselli.com/2023/06/no-ai-will-not-fix-accessibility.html">these tools still lack context and authorship</a>. They can't know why content was created, what a joke or meme depends on, or how an interface is meant to work. Their descriptions and code suggestions can easily miss the point or mislead users.

AI raises significant ethical concerns that go beyond accessibility.

Expand Down Expand Up @@ -942,7 +942,7 @@ The map of TLD ranking is very similar to 2024, but obviously doesn't include th

{{ figure_markup(
image="map-accessible-countries-by-tld.png",
caption="Map of ccessible countries by Top Level Domain (TLD).",
caption="Map of accessible countries by Top Level Domain (TLD).",
description="Displayed visually in a world map, the most accessible countries are Norway with 87%, Finland with 86%, followed by Canada, USA, UK, Sweden, Ireland, Australia, New Zealand, Austria, Belgium, Switzerland, Denmark, and South Africa. China is the least accessible by Top Level Domain, with close to 67%.",
chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vQFD-7C6Jv6q1JyviDsKosRlVwaok7g7nRCQ9NGMw5MaAAohL7EcDejVwgp13Z_T2S_57Zi0YaVb7st/pubchart?oid=1554186781&format=interactive",
sheets_gid="1037208406",
Expand Down