Preparing Accessibility for the Future and the Present
summary
Accessibility work warns that mainstream AI is already amplifying and automating exclusion: 90% of organizations use AI hiring tools that statistically screen out candidates with disabilities, social platforms censor facial differences, and fraud systems flag disability as risk. Regulatory documents exceed 1,000 but audits focus on outcomes and majority metrics that miss outliers; overlays and certification too often create complacency rather than prevention. Proposed fixes are concrete: include people with disabilities as designers and evaluators, require audit processes not outcomes, and build continual oversight into an Accessible Canada Act AI standard.
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chapters (19)
- 0:00Introduction and welcome
- 1:18Critique in accessibility work
- 3:15Loss and legacy of Judy Brewer
- 6:22The Cobra effect in accessibility
- 8:16Local vs global optimization in design
- 10:17Machiavellian playbook in web accessibility
- 15:06Origins of personal commitment
- 17:29Statistical reasoning and disability
- 20:38AI amplifying bias against disabilities
- 23:57Social Darwinism and AI
- 25:12Value of the imperfect and incomplete
- 26:51Strategies for AI accessibility standard
- 30:52Q&A begins
- 31:47Progress in inclusive design education
- 36:59Need for external AI regulation
- 39:32Auditing industry and prevention
- 43:24Quantitative vs qualitative metrics
- 47:46Scaling inclusive solutions
- 50:37Closing remarks and Q&A wrap-up
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