ai_tool_treatment
UMD publishes GenAI guidelines that apply to faculty, staff, students, and affiliates using GenAI tools in academic, research, or administrative activities.
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Change log
University of Maryland, College Park
Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Change summary
Current public record freshness and review state.
University of Maryland, College Park currently has 11 source-backed claim records and 5 official source attributions. Latest tracked changed date: May 15, 2026. No tracker diff rows are recorded in the latest public release.
This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Newly extracted claims are tracker additions and are not necessarily newly published by the university. Source snapshot changes show hash changes for the same source URL and are not by themselves policy changes.
Diff categories
Semantic classification for this release diff.
Release diff
Unified tracker diff generated from the previous and current public release snapshots.
No tracker claim/evidence/source changes are recorded for this university in the latest public release.
Claim changes
11 claim records
academic_integrity
For coursework, UMD tells students to assume GenAI use for assignments and assessments is not allowed unless the syllabus or assignment instructions specify otherwise.
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research
UMD guidance tells researchers not to input federal, state, or UMD data into externally sourced GenAI tools and not to upload unpublished research data or other confidential information into tools that have not undergone proper review.
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privacy
For administrative work, UMD guidance says administrative staff should not input non-public institutional data into externally sourced GenAI platforms and faculty or staff should not put moderate-risk Level 2 or higher data into public external GenAI platforms.
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teaching
UMD strongly encourages instructors to establish course-specific policies defining appropriate and inappropriate GenAI use.
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academic_integrity
UMD's Division of Academic Affairs advises against incorporating GenAI detection tools into course policies and says detection results should be treated only as potential indicators, not definitive proof or the sole basis for grading decisions.
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procurement
UMD guidance says individuals intending to use UMD credentials to access or purchase products with GenAI functionality should contact the Division of IT before signing up, including for free or open-source products.
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security_review
UMD's AI services page lists DIT AI services and states that listed DIT tools have gone through SRM review and are approved for university community members to use.
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security_review
UMD's AI software page identifies a list of software with AI capabilities approved by DIT Security and Compliance.
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teaching
UMD's TLTC guidance encourages instructors to communicate expectations for AI-based tools and to assess privacy/security risks, including using UMD-approved tools when possible.
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teaching
UMD's TLTC sample syllabus page gives instructors non-binding example AI course-policy language spanning prohibited, limited, and broad AI use, with citation or attribution expectations where applicable.
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Source snapshots
5 source attributions
Artificial Intelligence (AI)
official_guidance Tracker checked at May 15, 2026, 1:08 PM
Available Services
official_guidance Tracker checked at May 15, 2026, 1:08 PM
Guidelines for Use
official_policy_page Tracker checked at May 15, 2026, 1:05 PM
Sample Syllabus Language: AI Course Policies
official_guidance Tracker checked at May 15, 2026, 1:08 PM
Software
official_guidance Tracker checked at May 15, 2026, 1:08 PM