AI is shaping the future, but what happens when people with disabilities are left out? 🤖

Let’s uncover how bias in AI impacts fairness and inclusion. ⚖️

✅ Explore how AI and large language models influence daily life and access to information.
✅ Learn why disability is often misrepresented or missing in AI training datasets.
✅ Understand how “garbage in, garbage out” applies to representation in technology.
✅ Discover findings from Penn State on learned disability bias and its real-world impact.
✅ Hear how conflicting government disability definitions confuse AI models.
✅ See how hiring algorithms and proctoring software penalize disability-related traits.
✅ Find out why fairness frameworks prioritize race and gender while sidelining disability.
✅ Get insights from Harvard Gazette reports on missing disability protections in AI.
✅ Learn why over-simplified AI fairness rules hurt inclusion.
✅ Discover why we must challenge AI tools to better represent all abilities.

AI isn’t neutral—its fairness depends on the data we feed it. We must fight bias to build a truly inclusive future. 🌍

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