AI Ethics • Recommended preparation included RS co-lead’s top recommended readings, podcasts, and films. • Topics: Environment, dis/misinformation, labor (invisibilized and/or displaced), bias, privacy Agenda Jamboard AI, Art, and Copyright • Lowest attendance, but we had a good discussion on fair use, copyright, and copyright infringement. Agenda Jamboard Campus Activities During the first half of 2023, many groups on campus were addressing ChatGPT and AI/ML (more generally) in different ways. The campus has an active AI/ML and data science research community on one hand, while many disciplines which have academic writing assignments were grappling with ChatGPT. In October 2023, the library started receiving requests to participate in AI literacy and teaching activities discussions which more widely support the campus Overview What are librarians to do when widely and publicly accessible chatbots burst onto the academic scene with promises of easy no-work essays (but produce sophomoric writing), a research assistant that will destroy libraries (but can’t quote citations), and the end of tedious repetitive tasks (but really have been used to try to replace artists and other creative work)? Start a discussion group. Of course. This is a “how we did it” poster. The Co-Leads Kat is in the Library’s Research Services (RS) Department. She has a science background, and earned a MS in Data Science in 2017, although involvement in data science realm was keeping track of conversations on AI/ML ethics and bias issues to help inform consultations and interactions with campus researchers and the RDM community. Carrie is in the Library’s Teaching and Learning (T&L) Department. Her focus is info lit instruction and student engagement. Carrie has a Humanities background with an MS in Art History. She has zero background in computer science or AI. She represents the newcomer perspective with an eye to making AI accessible to others who share her background and perspective. ChatGPT the Early Days Internal Library Discussion Group While RS co-lead tested ChatGPT bias in December 2022, the significance related to instruction started with a comment from a University Writing Program (UWP) instructor late December: “[This essay assignment submission was so weird. They didn’t even correctly identify the characters in the book.]” This resulted in early conversations with UWP instructors on LLMs, extensive testing of ChatGPT, and librarian contributions to “The Challenges of ChatGPT in a Composition Classroom” an internal document shared with writing program lecturers Feb 2023. Separately, T&L started internal discussions on ChatGPT in Jan 2023: • Addressing faculty concerns around cheating and plagiarism. • Whose responsibility it was to support faculty in navigating AI. • Looking at what was being done on other campuses/libraries. In preparation for the discussion group, the co-leads had planning discussions to identify our goals, the format, possible topics. Overall, we wanted a place to have shared learning and a discussion on how AI/ML is impacting academic libraries, and higher education in general. QR codes link to our suggested preparation, discussion questions, slide decks, jamboards, and feedback, where appropriate. Call for Participation • Initial discussion was well attended with staff from most departments in the library. Covered goals, logistics, and general concerns. • Plus/Delta feedback was very positive. Agenda Jamboard Chatbots + ChatGPT • Presentation on chatbots + open discussion • Brief history of Chatbots and NLM • How LLMs function in layperson’s terms • Monetization, bias, and ethics Slide deck AI in Instruction • Included resources to prepare for discussion • Incorporating AI Literacy in instruction • ChatGPT session transcript review Agenda Jamboard Campus Action: Generative AI Guidelines • Focuses on data security and privacy. While UCR data is secure under Google Cloud Platform agreement, it isn’t always clear which Google