Ethical and Productive: Considering Generative Artificial Intelligence Citation Across Learning and Research
Recorded on 01/25/2024Posted in Library Technology and IT
How can librarians support the citation and ethical use of generative AI in learning and research?
Access the presentation slides.
Resources Shared by Webinar Speakers and Attendees:
- “How Should You Cite Generative AI and ChatGPT?,” Choice – LibTech Insights.
- “How to cite ChatGPT,” APA Style.
- Kaandossiwin: How We Come to Know: Indigenous Re-Search Methodologies by Kathleen E. Absolon.
- Stonehill College’s subject guide on citing AI.
- “Training Generative AI Models on Copyrighted Works Is Fair Use,” Association of Research Libraries.
- University of Waterloo’s subject guide on generative AI citation.
- University of Waterloo’s AI guidelines, “Artificial Intelligence at UW.”
- You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It’s Making the World a Weirder Place by Janelle Shane.
Summary:
As librarians consider the implications of generative artificial intelligence (AI) for our students and scholars, important questions around the ethical use of these tools and ways to properly credit AI generated work abound. This webinar offers insight into how librarians can work through these questions and support the citation and ethical use of generative AI to our campus communities in learning and research.
In this webinar you will:
- Consider the process and experience of creating citation and annotated resources to address varied facets of generative AI use in the classroom
- Understand how campus contexts and considerations can influence and help scope librarian engagement with generative AI
- Explore nuance and ethical uses of generative AI in the higher education context
- Discover citation resources to support students using generative AI in their learning
Together we will examine how generative AI might be used as an information tool in higher education and contemplate the role academic librarians could have in our campus conversations around these resources.
Speakers:
Kari D. Weaver, BA, MLIS, EdD
Learning, Teaching, and Instructional Design LibrarianUniversity of WaterlooDr. Kari D. Weaver (she/her) is an impassioned library educator who believes learning with information is essential to every aspect of our modern world. At the University of Waterloo, this perspective shapes her leadership of information literacy and digital learning in the library. She currently serves as the library representative on her campus New Technologies, Pedagogy, and Academic Integrity Committee where she contributes to policy and pedagogical conversations, decision-making, and professional development programming on generative artificial intelligence in teaching and learning at the University of Waterloo.
Dr. Weaver’s extensive research background centers on the intersection of human information behavior and pedagogy. She publishes on a wide range of topics including information literacy, academic integrity, misinformation, scientific communication, educational research methods, online learning, and digital accessibility. Professionally, she is the Chair of the ACRL Women and Gender Studies Section (WGSS) and a member of the Canadian Association of Professional Academic Librarians’ (CAPAL) Research and Scholarship Committee.
R. Antonio Muñoz Gómez
Digital Scholarship LibrarianUniversity of WaterlooAntonio Muñoz Gómez (he/him) is the digital scholarship librarian at the University of Waterloo, with previous experience in cataloguing and metadata. He is interested in the intersections between ethics and librarianship.
All Choice webinars offer Zoom’s auto-generated AI captioning. If you have any questions, please contact: scofer@ala.org.
This webinar is part of Choice’s LibTech Insights (LTI) content vertical, which examines the day-to-day impact of library and education technology on academic librarians, faculty, researchers, administrators, and students. The channel provides practical guidance on technology trends and products as they relate to productivity, accessibility, discovery, operations, and content management.