Last November, we presented you with our first update on Generative AI (GAI) use at Knowledge Commons (KC). As the Commons is sponsored, hosted, and developed at Michigan State University, we’ve taken our initial guidance from the MSU Interim Guidance on Data Uses and Risks of Generative AI. 

We wanted to update you on how we’re currently using GAI and where we’re planning on going with it in the near future. On the development side, we use GAI for a variety of tasks, including assistance with coding, example code, generation of code templates and fragments, documentation. We also use it for getting coding inspiration and learning about new coding concepts. On the community side, we use GAI for brainstorming, copyediting, and image generation. On our UX side, we use GAI to generate files we use for testing and this summer, we’ll also begin integrating GAI into our user experience research through data summaries. None of these processes occurs without a human in the loop. 

As a sneak peek to some exciting news, we heard from you in this year’s annual user survey and we’ll be rolling out a feature for our new open access repository (coming soon!) that gives users the ability to flag GAI content and see when a work has used GAI. 

As we’ve previously stated, when and if we do move forward with changes to the way we use GAI, we are committed to letting you know here on the blog and in the newsletter. We’d also love to hear from you about ways you would like to see KC engage with GAI in the future!