Call for Participation
This full-day CASCON workshop invites researchers, developers, and designers to explore how and why to design agentic AI systems that are explicitly situated within social and organizational contexts. We are especially interested in engaging both practitioners building agentic systems and scholars bringing social-theoretic perspectives that can deepen our understanding of how the “social” matters for the design, operation, and evaluation of agentic AI.
Together, we will investigate the value of integrating social theory into AI design, and the potential of this move to address critical challenges of bias, equity, and context-sensitivity. Our aims are to develop responsible approaches for the future of social agentics and to collaboratively imagine context-aware agentic systems across a range of applied domains.
We invite you to participate! Share your work and perspectives, reflect on your practices, and engage with others in the community. Submit a position contribution that explores how social knowledge, theory, and perspectives can inform the situated design and evaluation of agentic AI. Please see below in workshop themes for potential starting points. Please note that all attendees must register for CASCON: https://conf.researchr.org/home/cascon-2025
Submission
Submit a short position papers (up to 4 pages) presenting innovative ideas, empirical findings, or theoretical perspectives.
Please prepare manuscripts using CASCON formatting guidelines and submit via EasyChair: https://easychair.org/conferences/?conf=cascon2025
Important Dates:
Submission deadline: September 30, 2025 (AoE)
Author notification: October 15, 2025
If you have any questions, please contact Matt Ratto (matt.ratto@utoronto.ca) or Ali Sutani (ali.sutani@utoronto.ca).
Workshop Details
Date/time: Wednesday, November 12, 2025, 9:00 AM to 4:30 PM
Location: Second Student Centre, York University, 15 Library Lane, Room 2
Participants can also join virtually through Teams.
Workshop Themes
The overall goal of the workshop is to build a collaborative research community that integrates social-theoretic insights into responsible agentic AI.
To guide this work, we start from two general questions:
How are agentic AI systems currently embedded into existing social and organizational practices, and what are the best empirical methods to capture this complexity?
How can enhanced understanding of of socio-cultural dynamics inform the creation of new architectures and design patterns for context-aware agentic AI?
See the full workshop paper for more details.