AI in Education Podcast UnBlooms: Tina Austin on thinking well with AI and rethinking Bloom's
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Mar 26, 2026 Tina Austin, educator and founder of GAInable who advises schools on responsible AI and teaches AI ethics. She discusses the messy reality of AI adoption in US schools. She challenges framework overload and introduces UnBlooms, a problem-centered alternative to Bloom's. Conversations cover redesigning assessments, agent risks, privacy concerns, equity, and practical, skeptical approaches for educators.
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How Tina's LinkedIn Experiments Launched Her AI Work
- Tina Austin started sharing her generative AI experiments on LinkedIn and quickly moved from departmental talks to requests from other faculties and companies.
- Microsoft invited her to present in Chicago, OpenAI featured her experiments, and that momentum turned into a growing consultancy and community presence.
U.S. Education Is A Patchwork Of AI Practices
- AI adoption in U.S. education is fragmented, not unified, with districts and classes varying wildly in access and practice.
- Some students adopted AI immediately while others avoid it, and policy at state and district levels is still trying to catch up.
Design AI Around The Problem Not The Tool
- Start with the problem you want to solve, not the tool; design AI use cases around classroom problems and subject goals.
- Tina used a custom GPT to teach mitochondrial inheritance by comparing it with regular ChatGPT so students saw why the tailored model mattered.