Welcome to The AI Educator series from EDSAFE AI! In this micro-podcast, we call on experts and enthusiasts from the AI education community to share their thoughts on three critical questions about AI implementation. Tune in to hear leaders put their own distinct spin on the same set of questions in each rapid-fire interview, ensuring quick and actionable takeaways.
In this episode of The AI Educator, Andrea Claver from EDSAFE AI speaks with Michael Klein, Senior Director for Preparedness and Response at the Institute for Security and Technology. Drawing on his 20-year background in education, from teaching in Brooklyn and Harlem to leading K–12 cybersecurity at the U.S. Department of Education, Michael shares why the most exciting potential of AI in education isn't in the classroom, but in the server room. He explains how AI can empower under-resourced districts with security tools comparable to a Fortune 500 security team, while also stressing that the human capacity to fix those vulnerabilities remains a hurdle.
Michael challenges the major misconception that AI safety in schools is strictly about the model layer, like preventing cheating or hallucinations, arguing that the crucial gap lies in infrastructure safety. He flags systemic risks around data retention, FERPA compliance, expanded attack surfaces, and vendor concentration. He also notes that relying on a small number of core software vendors creates dangerous single points of failure across K–12 education. He reassures overwhelmed educators that defending against transnational criminal organizations shouldn't fall solely on local district staff, calling on states, federal agencies, and vendors to shoulder their share of the burden. To help districts act immediately, he offers practical steps schools can take – like tracking actual software usage, requiring student data agreements, and turning on multi-factor authentication.
21 Sept 2026
Ethical AI in Virtual Education with Dr. Courtney Kofeldt Grove
In this episode of The AI Educator, Andrea Claver from EDSAFE AI speaks with Dr. Courtney Kofeldt Grove, Director of Teaching, Learning, and Innovation at Pennsylvania Leadership Charter School (PALCS) and 2026 EDSAFE Vanguard Fellow. Courtney shares how PALCS proactively embraced generative AI as an unavoidable shift, particularly in their fully virtual learning environment. In this episode, she introduces the school's newly launched AI Resource Guide. This practical blueprint helps educators navigate student privacy, academic integrity, and ethical considerations in an online mindset.
Courtney challenges the common misconception that using AI automatically shortcuts student learning, arguing instead that thoughtful AI integration can require even more complex cognitive work. She outlines how teachers can push students from passive consumption of AI-generated content toward active evaluation, verifying claims, detecting bias, and challenging assumptions. Shifting the classroom's focus from final products to the value of the learning process itself, Courtney explains why AI should speed up iteration rather than replace critical thinking. Finally, she offers a reassuring message to overwhelmed school leaders: you don’t need to become an AI expert overnight; the most vital intelligence in the classroom will always be human intelligence.View AI Resource Guide: https://www.aipolicylab.org/post/pennsylvania-leadership-charter-school-ai-resource-guide
8 Sept 2026
Collaborative Path to Proactive Policy with Anne-Sophie Seret
In this episode of The AI Educator, Andrea Claver from EDSAFE AI speaks with Anne-Sophie Seret, Executive Director of Everyone AI and Chief Program Officer at iRAISE. Anne-Sophie explores how AI can level the global playing field by providing tutoring to children in developing countries and tailoring education for those with learning disabilities, ensuring that a child's potential is no longer limited by their zip code. She challenges common misconceptions about safety, warning that an EdTech tool is not automatically secure just because it is used at school or popular in other districts.
Anne-Sophie highlights the hidden risks of anthropomorphic design, where AI models pretend to be human and foster dangerous emotional dependence in children. She critiques the industry’s reliance on engagement as a flawed KPI for actual learning. She also suggests reinventing the classroom by shifting the focus from final results, like essays and exams, to the value of the learning process itself. Finally, she shares an exclusive look at new tools for evaluating AI models and celebrates that the discussion about the impact of AI on cognitive and socio-emotional development has reached the global stage of the G7 agenda.
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