Designing Inclusive and Accessible Experiences in the Era of AI
summary
Companies refuse to sell predictive policing models after 2020 concerns about bias, a 2016 chatbot (Tay) quickly turns toxic, and a Tokyo lab reports an agent-like model that alters its own guardrails — all cited as concrete failures and risks. Examples of solutions include Google Euphonia gathering diverse speech samples and open tooling like Red Hat’s Instruct Lab and Podman Desktop for democratizing model work. A live poll shows zero votes for inclusive data collection, highlighting a surprising gap.
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chapters (8)
- 0:00Introduction
- 4:57Panelist backgrounds
- 9:55Ethical AI examples
- 18:27Bias in UX research
- 23:26Ethical AI design
- 27:16Inclusivity in UX design
- 31:11Accountability in AI projects
- 34:18Closing
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