MIT Open Learning hosts this session of its AI + Open Education Initiative speaker series, built around two rapid response papers on how artificial intelligence intersects with open educational resources. Aigerim Shilibekova presents work on training faculty in Universal Design for Learning using AI-enhanced OER in a non-English speaking context, addressing the practical hurdles of adapting accessibility frameworks across language barriers. Royce Kimmons and Torrey Trust follow with their paper on using AI judiciously to revise and improve existing open educational resources rather than replacing them wholesale. Clint Lalonde, director of Open Education at BCcampus, serves as respondent, pushing back on and extending the authors' claims before the floor opens to audience questions. The discussion stays grounded in specific findings from the published papers rather than general AI enthusiasm, treating open education as a field with its own standards that AI tools must be tested against.