AM26 Workshop
Building AI and Navigating AI Regulatory and Policy Landscapes
This workshop brings together researchers, practitioners, and users to examine experiences and perceptions of AI development and governance across diverse settings. It comprises (i) a hands-on training session in which participants will build and evaluate AI tools and agentic systems using both code-based and no-code approaches within the TACTIC framework, and (ii) research presentations accompanied by critical discussion of ongoing challenges and emerging research.
More About this Workshop
The ethical development and use of AI in libraries require robust governance and regulatory frameworks that account for the transnational nature of AI systems. A key challenge lies in defining the scope of regulation, including material (what is regulated), personal (who), territorial (where), and temporal (when) dimensions (Schuett, 2023). This workshop brings together researchers, practitioners, and users to examine experiences and perceptions of AI development and governance across diverse settings. In the hands-on development session, participants will build and evaluate AI tools and agentic systems using both code-based and no-code approaches through the TACTIC framework. Through engagement with real-world practices and user perspectives, the workshop advances best practices in AI governance and equips participants with practical strategies for responsible AI design, deployment, and oversight.
Day & Time
Friday
November 6, 2026
9 am - 5 pm
Presenters
Lala Hajibayova | Kent State
Clara Chu | University of Illinois at Urbana-Champaign
Gang Shao | Purdue University
Stefanie Havelka | University College Dublin
Yuan Li | University of Alabama
Arzu Suleymanova | EdTech
Agenda
8:30am-9:00: Welcome & Introduction
9:00-10:30: TACTIC Training
10:30:10:45: Coffee Break
10:45-12:00: TACTIC Training
12:00-12:30: Lunch Break
12:30-2pm: Paper Presentations
2:00-2:15: Break
2:15-4:00: Paper Presentations
4:00-4:45- Discussion and Future Directions
4:45-5:00- SIG/AI 2025 Best Paper Award, Conclusion
Registration Rates