September 2026
October 5, 2026
This policy governs the use of large language models (LLMs) by instructors using Reacting to the Past games. The Reacting Consortium (RC) does not regulate student use of these tools.
LLMs have the potential to facilitate learning, but protecting our authors' intellectual property remains paramount. Additionally, the Reacting Consortium is determined to defend the intellectual property of game architecture developed by and for the community.
Any LLM use of game materials requires the express permission of game authors. They may pick from either of the following choices. If they do not select an option, the default is prohibition.
1. Sharing published or downloaded materials about this game with LLMs is prohibited.
OR
2. Sharing published or downloaded game materials with LLMs is acceptable under the restraints described below.
Once the RC secures author preferences, they will be displayed on the official landing page for each game.
Instructors who share game materials with an LLM must provide the following information to the RC. This will help us to refine our policies.
Instructors using LLMs must disable data sharing when using their individual accounts. Alternatively, they may use tenant-grounded AIs or third-party providers with contractual guarantees that user inputs and uploaded materials are not used to train foundation models.
Distribution of AI-modified game materials beyond an instructor's own courses is prohibited, with a handful of exceptions. They may be shared with the author, members of the Reacting community involved in refining our policies, or at conference demonstrations.
If instructors use LLMs to create student-facing materials, they must include acknowledgments that they were created with the aid of an LLM, the name of the LLM, the name of the instructor, and the approximate date of distribution to students.
In cases of unauthorized use, the Reacting Consortium may take appropriate action, including issuing warnings, restricting participation, or suspending membership.
This policy will be reviewed for renewal or revision one year from its approval date (October 5, 2026).
Gamebooks published by UNCP are under copyright, which supersedes this policy.
Drafted by Nicolas Proctor with special attention to the ideas shared by the RCB in October 2026, participants in three online listening sessions in September 2026, and documents created in May 2026 by John Giebfried and Ray Kimball. I used Microsoft 360 Copilot to clarify my understanding of tenant-grounded AI licenses and ChatGPT 5.5 to research how to disable training data on private accounts.