As artificial intelligence tools become more accessible in teaching and learning, they offer new possibilities for supporting—rather than supplanting—open education work. This roundtable discussion explores how AI can function as a practical timesaver in OER creation and maintenance, including revising learning outcomes, generating ancillary materials (such as quizzes, study guides, and practice activities), and supporting iterative improvement of open content. At the same time, participants will critically examine the limits and risks of AI use within open ecosystems, including issues of bias, transparency, labor, and trust.
Drawing on perspectives and advice from experienced OER practitioners—“OER long-timers” who have sustained this work across shifting technologies, funding cycles, and policy landscapes—this conversation will explore how AI can be integrated thoughtfully into community-centered OER practices while reinforcing collaboration, shared ownership, and care. Grounded in open education and open pedagogy scholarship (e.g., Wiley, 2014; Bali et al., 2020; Kasneci et al., 2023), this session invites participants to reflect on what it means to remain Open for Good—resilient, innovative, and collective—in an AI-mediated future.
