AI loves the average—and that’s exactly why too many people get left out. We sit down with David Banes, chair of the Equitable AI Alliance, to explore how we move disability from the margins of tech conversation to the center of how AI is built, funded, and deployed. From Mobile World Congress to major health and education forums, we share what it takes to get lived experience on main stages and why those introductions from sponsors and allies change the room.
We dig into the mechanics of inclusion: design for outliers to include everyone, co‑design with disabled people across the entire product lifecycle, and demand transparency in both datasets and model reasoning. David breaks down where bias shows up most—recruitment tools, university admissions, assessment systems—and how domain‑specific AI can misread faces, voices, and behavior as errors rather than human difference. We talk candidly about the privacy paradox: anonymized data protects people but can hide whether disability is represented at all. The path forward blends informed consent, easy‑read terms, and community governance with rigorous accessibility testing and evaluation against disability‑relevant metrics.
Culture shapes everything, so we confront how ideas like “independence” vary by region and why global perspectives must steer inclusive AI. You’ll hear about the Alliance’s open Resource Hub, growing webinar series, and practical ways organizations can partner to raise standards across industry. If you care about accessible technology, ethical AI, and building systems that actually work for real people, this conversation gives you a roadmap and a reason to act.
Subscribe for future episodes, share this one with a colleague shaping AI policy or product, and leave a review to help more listeners find these conversations. Your introduction might be the bridge that puts disability on the next big stage.
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