AM25 Symposium
Investigating Interdisciplinary Approaches to Responsible and Ethical AI: Challenges and Opportunities (SIG-AI)
This symposium aims to bring together researchers and practitioners to critically examine the developments of AI-driven technologies and to discuss the need for an interdisciplinary approach to responsible AI.
More about this Symposium
As AI-driven technologies are transforming every aspect of our lives and become increasingly autonomous, there is a growing risk that users may become overly dependent on them, potentially reducing human oversight and limiting the capacity to intervene when necessary (White & Shah, 2025). These AI developments call for an interdisciplinary and responsible approach to AI advancements to ensure fair, accountable, transparent, ethical (FATE) (Inuwa-Dutse, 2023) and sustainable impact on human development.
This symposium aims to bring together researchers and practitioners to critically examine the challenges and opportunities presented by AI-driven technologies. Through case studies, interactive discussions, and collaborative activities, participants will work together to develop a comprehensive roadmap for an interdisciplinary approach to the responsible, fair and ethical advancement of AI.
The key questions guiding this symposium are:
- What constitutes an effective interdisciplinary approach to the development of responsible AI?
- How can we ensure accountability, transparency, and explainability in AI-driven information services and practices?
- How can we address the environmental impacts of AI applications and/or solutions?
- What design principles should guide AI development to uphold human values and rights while ensuring equitable and fair access to information?
- How can information professionals contribute to ensuring fair and equitable access to information sources and services while also addressing the digital divide that is further exacerbated by rapidly advancing AI technologies?
Day & Time
Friday
November 14, 2025
9 AM - 5 PM EST
Presenters
Lala Hajibayova | Kent State University | USA
Andrew Cox | University of Sheffield | UK
Stefanie Havelka | University College Dublin | Ireland
Yuan Li | University of Alabama | USA
Agenda
- Opening welcome
- A keynote presentation: Dr. Chirag Shah, University of Washington
- Coffee Break
- Panel Discussion: Case Studies
- Lunch Break
- Presentations/Q&A
- Coffee Break
- Wrap-up Discussion
- Closing and Future Directions
