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Bethany Mickel, Emily Scida

This article is approachable as it moves past the usual hype-versus-fear framing of AI in education and offers a genuinely practical structure in the form of the "Six Mode Adoption Framework" for thinking about where and how GenAI can responsibly support OER work. It doesn't shy away from the thorny legal and ethical questions such as copyright ambiguity, data practices, and institutional transparency that anyone working in this space needs to grapple with. The slow, reflective approach feels natural and certainly addresses concerns we've encountered with the infusion of GenAI in the open educational practices space.

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Bethany Mickel, Emily Scida

We found these guidelines especially helpful because they're written specifically for the practical, day-to-day decisions OER creators face when using GenAI, rather than staying at a conceptual level. The examples for checking prompts and outputs for copyright and trademark issues are valuable additions since this is an area where vague advice often leaves instructors unsure of where the actual lines are. The clear breakdown of the US Copyright Office's findings also makes this a resource we'd point colleagues to first when they're trying to sort out what's legally required versus what's simply good ethical practice.

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Bethany Mickel, Emily Scida

We found this resource especially useful because it moves beyond high-level discussion and offers something instructors can actually put into practice, grounded in a real survey of educator comfort levels with AI rather than assumptions about what faculty need. We also appreciate that it ties its guidance back to UNESCO's OER Recommendation, giving it a clear ethical and professional framework rather than treating GenAI use as a purely technical add-on. For anyone in our collection's audience looking for a single, practical guide to working through the barriers of AI-assisted OER development, we'd recommend starting here.

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Bethany Mickel, Emily Scida

We recommend this Creative Commons resource for anyone navigating the intersection of OER and GenAI. It addresses considerations such as when openly licensed works are used to train AI. It also clarifies that fair use and the reality that text-and-data-mining exceptions may already permit the use of AI scraping regardless of license terms. Honest and forthright, we appreciate that it acknowledges the ethical dimensions that copyright alone cannot resolve and that it encourages a broader, community-driven approach to responsible AI use in open education contexts.

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Bethany Mickel, Emily Scida

This hub is a valuable starting point because it brings together a wide range of resources on GenAI in open education in one centralized place. We value that it's grounded in the principles of a community practice as it is highly participatory and encourages contributions. This hub is a shared initiative of University of Virginia Libraries and the Institute for the Study of Knowledge Management (ISKME), and funded by support of the Institute of Museum and Library Services.

ES

Bethany Mickel, Emily Scida

We found this UNESCO course to be a useful complement to the more conceptual pieces in our collection since it's structured as a hands-on professional development rather than just a framework or think-piece. We particularly value that it grounds participants in concrete quality evaluation criteria for GenAI resources, which is something often glossed over in broader discussions of AI and OER.