ai_tool_treatment
UMD publishes GenAI guidelines that apply to faculty, staff, students, and affiliates using GenAI tools in academic, research, or administrative activities.
Review: Agent reviewed
Change log
University of Maryland, College Park
Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.
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.
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.
Claim/evidence diff preview
Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.
University of Maryland, College Park current policy evidence
Inserted lines represent current public claim and evidence records in the source-backed dataset.
+20-0
11 # University of Maryland, College Park AI policy record
2+ai_tool_treatment: UMD publishes GenAI guidelines that apply to faculty, staff, students, and affiliates using GenAI tools in academic, research, or administrative activities.
3+Evidence (en, b32fc71f9563): These guidelines apply to all UMD faculty, staff, students, and affiliates using GenAI tools and technologies in academic, research, or administrative activities.
4+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.
5+Evidence (en, b32fc71f9563): Students should assume that the use of GenAI tools to complete course assignments and assessments is not allowed unless otherwise specified in the course syllabus or assignment/assessment instructions.
6+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tells researchers not to input federal, state, or UMD data into externally sourced GenAI tools and not to upload unpublished research data or other confidential information into tools that have not undergone proper review.
7+Evidence (en, b32fc71f9563): Researchers should not input federal, state, or UMD data into externally sourced GenAI tools due to the high risk of exposing sensitive information to public or open-source domains.
8+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.
9+Evidence (en, b32fc71f9563): Administrative staff should not input any institutional data that is not publicly available into externally sourced platforms (free or paid) using GenAI tools.
10+teaching: UMD strongly encourages instructors to establish course-specific policies defining appropriate and inappropriate GenAI use.
11+Evidence (en, b32fc71f9563): Instructors are strongly encouraged to establish a course-specific policy that defines the appropriate and inappropriate use of GenAI tools.
12+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.
13+Evidence (en, b32fc71f9563): The Division of Academic Affairs advises against incorporating GenAI detection tools into course policies. Results from GenAI detection tools should be treated only as potential indicators of misconduct, not definitive proof.
14+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.
15+Evidence (en, b32fc71f9563): Individuals intending to use UMD credentials to access or purchase products or tools with GenAI functionality should contact the Division of IT at itsupport@umd.edu before signing up.
16+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.
17+Evidence (en, b0ccb1028a77): All software that will be used with university data or for educational activities must go through the university's Software Risk Management (SRM) review process.
18+security_review: UMD's AI software page identifies a list of software with AI capabilities approved by DIT Security and Compliance.
19+Evidence (en, 535d56159ee0): The following is a list of software with AI capabilities approved by DIT Security and Compliance. For a complete list of software approved for use, visit the Software Catalog.
20+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.
21+Evidence (en, 2518aa5abda8): Speak openly and frequently with your students about your expectations for technology use - specifically, for AI-based tools.
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.
Review: Agent reviewed
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.
Review: Agent reviewed
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.
Review: Agent reviewed
teaching
UMD strongly encourages instructors to establish course-specific policies defining appropriate and inappropriate GenAI use.
Review: Agent reviewed
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.
Review: Agent reviewed
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.
Review: Agent reviewed
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.
Review: Agent reviewed
security_review
UMD's AI software page identifies a list of software with AI capabilities approved by DIT Security and Compliance.
Review: Agent reviewed
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.
Review: Agent reviewed
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.
Review: Agent reviewed
Source snapshots
5 source attributions
Artificial Intelligence (AI)
official_guidance checked May 15, 2026
Available Services
official_guidance checked May 15, 2026
Guidelines for Use
official_policy_page checked May 15, 2026
Sample Syllabus Language: AI Course Policies
official_guidance checked May 15, 2026
Software
official_guidance checked May 15, 2026