We are pleased to invite participation in the First Workshop on Optimal Reliance and Accountability in Interaction with Generative Language Models (ORIGen) to be held in conjuction with the Conference on Language Modeling (COLM) in Montreal, Canada, on October 10, 2025.
With the rapid integration of generative AI, exemplified by large language models (LLMs), into personal, educational, business, and even governmental workflows, such systems are increasingly being treated as “collaborators” with humans. In such scenarios, underreliance or avoidance of AI assistance may obviate the potential speed, efficiency, or scalability advantages of a human-LLM team, but simultaneously, there is a risk that subject matter non-experts may overrely on LLMs and trust their outputs uncritically, with consequences ranging from the inconvenient to the catastrophic. Therefore, establishing optimal levels of reliance within an interactive framework is a critical open challenge as language models and related AI technology rapidly advances.
ORIGen will examine question of reliance, trust, confidence, and accountability in interactions with modern generative systems from an interdisciplinary perspective, and we seek engagement from the NLP, AI, HCI, robotics, education, and cognitive science communities and beyond. The workshop will feature paper presentations as well as 4 invited talks from leading AI, NLP, and HCI researchers, and a panel discussion on the Future of Reliable and Accountable AI. More information about the workshop can be found at: https://origen-workshop.github.io