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Accessibility is often viewed as a usability feature or compliance requirement, important but secondary. In AI‑driven systems, that no longer holds. LLMs interpret the content we produce, and their reliability depends on structure, semantics, and clarity. Accessible content is easier for humans and machines to understand, process, and reuse. This session reframes accessibility as a systems‑level engineering concern, showing why it outperforms OCR and leads to safer, more predictable AI outcomes.
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Guust Ysebie
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2026 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
ODSP916 | English (US) | Responsible AI
Pre-recorded | (200) Intermediate
#MSBuild
Chapters:
0:00 – Shared accessibility challenges for humans and LLMs
00:01:16 – Explanation of the PDF drawing language and rendering process
00:03:03 – LLMs can extract data well from structured PDFs
00:04:19 – Tagged PDFs provide HTML-like text structure with visual fidelity
00:04:52 – Structured PDFs enable better tool development and accessibility
00:06:12 – Overview of the sample PDF document with tables, lists, and watermark
00:09:23 – Semantic loss in traditional OCR causes missing sublists
00:10:17 – Key takeaway: design documents for understanding, not just rendering
00:10:52 – Benefits of accessible PDFs: smart data extraction, easy search, AI-ready Read More Microsoft Developer
