Full Title: 1st Workshop on Optimal Reliance and Accountability in Interactions with Generative Language Models
Short Title: ORIGen

Date: 10-Oct-2025 - 10-Oct-2025
Location: Montreal, Canada
Web Site: https://origen-workshop.github.io

Linguistic Field(s): Cognitive Science; Computational Linguistics; Discourse Analysis; Linguistic Theories; Philosophy of Language

Call Deadline: 10-Jul-2025

Final Call for Papers:

The First Workshop on Optimal Reliance and Accountability in Interactions with Generative Language Models (ORIGen) will be held in conjunction with the Second Conference on Language Modeling (COLM) at the Palais des Congrès in Montreal, Quebec, Canada, on October 10, 2025!

ORIGen invites submission of Late Breaking papers, with a fast review cycle. Late Breaking submissions are due July 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.

- What factors influence overreliance on LLMs?
- How can the consequences of overreliance be predicted and guarded against?
- What verifiable methods can be used to apportion accountability for the outcomes of human-LLM interactions?
- What methods can be used to imbue such interactions with appropriate levels of “friction” to ensure that humans think through the decisions they make with LLMs in the loop?

The ORIGen workshop provides a new venue to address these questions and more through a multidisciplinary lens. We seek to bring together broad perspectives from AI, NLP, HCI, cognitive science, psychology, and education to highlight the importance of mediating human-LLM interactions to mitigate overreliance and promote accountability in collaborative human-AI decision-making.

Submissions of Late Breaking papers are due July 10, 2025. Please see our announcement [1] and call for papers [2] for more!

[1] https://origen-workshop.github.io/announcements/late-breaking-submission-track/
[2] https://origen-workshop.github.io/submissions/