2024 09 20 06 ALENA NIKOLAEVA & DAVID JENSENIUS -The A1lyboros maximizing accessibility with Copilot
summary
Copilot demonstrates concrete help: Copilot suggests code fixes (form labels, headings, alt text) and a demo shows the magic button applies changes but misses items and adds risky ARIA that require manual review. WCAG is the baseline and new EU rules force WCAG manual tests required for focus, target size and redundant entry. Papers and tools are named (IBM AI Explainability 360, Microsoft AI); a cited stat flags a data gap: data desert where 25–40% of people with learning disabilities also report mental health problems.
AI-written summary · about
chapters (12)
- 0:00Accessibility and AI intro
- 1:57Inclusive user involvement
- 3:25Disability context explained
- 7:35Changing biased tech language
- 9:03AI bias challenges
- 11:12Reducing AI disability bias
- 14:03WCAG guidelines overview
- 18:15Design system accessibility workflow
- 19:00AI tools for accessibility
- 22:52AI accessibility limits
- 24:17Verifying AI suggestions
- 25:43Empowering users
related talks
28mYou Don’t Need to Worry About Accessibility with AI (Or Do You?)
32mAccessibility powered by AI
25mBuilding Accessible UI using GitHub Copilot
43mHow to Use AI to Build Accessible Products
43mWalking Down the A11Y Road - Lessons Learnt From...
46mCOPilotING My Autism in Tech
40mMicrosoft AI for Inclusion and Innovation
57mCan Gen AI make the world Disability inclusive?
