Preparing for Organizational Policy-Crafting Around genAI Usage

Currently, various educational organizations have cobbled together a wide variety of generative AI (genAI) use policies, to govern the ways in which students are permitted to use these advanced tools during their learning. The best way forward is not yet known, and the forking paths are complex. In this piece, we propose flexible but unified principles for guiding educators and learners in the determining and communicating the appropriate uses of genAI. We have developed these principles specifically for post-secondary institutions and programs, as we work and teach at the university level; however, we consider these principles broadly applicable across educational organizations. Given that the field of genAI is rapidly moving, and that education is - as always - at the forefront of how those changes impact and involve society, simply keeping up with what is happening is a Herculean task. Therefore, we begin by describing some past and current approaches to using genAI in schools, so that the lay of the land is established. We then offer a flexible and unified approach to policy and classification of how genAI can be used for educational purposes. Finally, we conclude with recommendations for how educators can think about the benefits and risks of genAI in their classrooms.

Authors

Publication Details

Journal
Digital Repository at the University of Maryland (University of Maryland College Park)
Published
2026-09-17
DOI
https://doi.org/10.13016/4qfx-k8vp
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Preparing for Organizational Policy-Crafting Around genAI Usage

Mitchell J. Nathan, Caro Williams-Pierce, Samarth Ashwathanarayana
Digital Repository at the University of Maryland (University of Maryland College Park)
Ethics and Social Impacts of AI
preprint

Preparing for Organizational Policy-Crafting Around genAI Usage

Mitchell J. Nathan, Caro Williams-Pierce, Samarth Ashwathanarayana
preprint en

Abstract

Currently, various educational organizations have cobbled together a wide variety of generative AI (genAI) use policies, to govern the ways in which students are permitted to use these advanced tools during their learning. The best way forward is not yet known, and the forking paths are complex. In this piece, we propose flexible but unified principles for guiding educators and learners in the determining and communicating the appropriate uses of genAI. We have developed these principles specifically for post-secondary institutions and programs, as we work and teach at the university level; however, we consider these principles broadly applicable across educational organizations. Given that the field of genAI is rapidly moving, and that education is - as always - at the forefront of how those changes impact and involve society, simply keeping up with what is happening is a Herculean task. Therefore, we begin by describing some past and current approaches to using genAI in schools, so that the lay of the land is established. We then offer a flexible and unified approach to policy and classification of how genAI can be used for educational purposes. Finally, we conclude with recommendations for how educators can think about the benefits and risks of genAI in their classrooms.

Digital Repository at the University of Maryland (University of Maryland College Park)
Quality Education
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Preparing for Organizational Policy-Crafting Around genAI Usage — Mitchell J. Nathan, Caro Williams-Pierce, et al. · Digital Repository at the University of Maryland (University of Maryland College Park) (2026) | TGRS Research Map | TGRS