University AI Policy Tracker
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College Park, United States

University of Maryland, College Park

RankingQS World University Rankings 2026: =207UpdatedJul 19, 2026

No reviewed summary yet

Reviewed record

Reviewed claims

12 reviewed claims

Ai Tool Treatment

TerpAI is listed for University of Maryland, College Park in an official university AI tools source. Derived availability: allowed. Derived endorsement type: not specified.

Review: Agent reviewedConfidence97%

Normalized value: {"tool":"institutional_ai_service","rawToolName":"TerpAI","description":"TerpAI is a UMD-owned chatbot powered by OpenAI and provided by the Division of Information Technology.","howToObtain":"Use the UMD service as a student, faculty member, or staff member.","costToUser":"Not specified by the cited source.","availability":"allowed","endorsementType":"not_specified"}

Last checked
Jul 16, 2026
Last changed
Jul 16, 2026

Original evidence

Evidence 1
The University of Maryland has launched TerpAI, a new UMD-owned chatbot powered by OpenAI and available to all UMD students, faculty and staff. It is one of several GenAI services provided by the Division of Information Technology.

Localized display only

The University of Maryland has launched TerpAI, a new UMD-owned chatbot powered by OpenAI and available to all UMD students, faculty and staff. It is one of several GenAI services provided by the Division of Information Technology.

Source language
English (en)
Snapshot hash
fd7608e1…
Retrieved
Jul 16, 2026

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 reviewedConfidence94%

Normalized value: university-wide_genai_guidelines

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
These guidelines apply to all UMD faculty, staff, students, and affiliates using GenAI tools and technologies in academic, research, or administrative activities.
Source language
English (en)
Snapshot hash
b32fc71f…
Retrieved
May 15, 2026
Evidence locator
Scope

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 reviewedConfidence93%

Normalized value: students_assume_disallowed_unless_specified

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
b32fc71f…
Retrieved
May 15, 2026
Evidence locator
Teaching and Learning

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 reviewedConfidence93%

Normalized value: external_genai_research_data_restriction

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
b32fc71f…
Retrieved
May 15, 2026
Evidence locator
Research and Scholarship

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 reviewedConfidence93%

Normalized value: administrative_external_genai_data_restriction

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Administrative staff should not input any institutional data that is not publicly available into externally sourced platforms (free or paid) using GenAI tools.
Source language
English (en)
Snapshot hash
b32fc71f…
Retrieved
May 15, 2026
Evidence locator
Administrative Work

Teaching

UMD strongly encourages instructors to establish course-specific policies defining appropriate and inappropriate GenAI use.

Review: Agent reviewedConfidence92%

Normalized value: course_specific_policy_encouraged

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Instructors are strongly encouraged to establish a course-specific policy that defines the appropriate and inappropriate use of GenAI tools.
Source language
English (en)
Snapshot hash
b32fc71f…
Retrieved
May 15, 2026
Evidence locator
Teaching and Learning

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 reviewedConfidence92%

Normalized value: ai_detection_not_definitive_proof

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
b32fc71f…
Retrieved
May 15, 2026
Evidence locator
Faculty & Instructors

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 reviewedConfidence91%

Normalized value: dit_contact_before_genai_tool_signup

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Individuals intending to use UMD credentials to access or purchase products or tools with GenAI functionality should contact the Division of IT at [email protected] before signing up.
Source language
English (en)
Snapshot hash
b32fc71f…
Retrieved
May 15, 2026
Evidence locator
Procuring AI Tools & Software

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 reviewedConfidence90%

Normalized value: dit_ai_services_srm_reviewed

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
b0ccb102…
Retrieved
May 15, 2026
Evidence locator
AI Services from the Division of IT

Security Review

UMD's AI software page identifies a list of software with AI capabilities approved by DIT Security and Compliance.

Review: Agent reviewedConfidence90%

Normalized value: ai_capable_software_dit_security_compliance

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
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.
Source language
English (en)
Snapshot hash
535d5615…
Retrieved
May 15, 2026
Evidence locator
Software

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 reviewedConfidence88%

Normalized value: tltc_instructor_ai_expectations_and_risk

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
Speak openly and frequently with your students about your expectations for technology use - specifically, for AI-based tools.
Source language
English (en)
Snapshot hash
2518aa5a…
Retrieved
May 15, 2026
Evidence locator
Overview

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 reviewedConfidence88%

Normalized value: sample_syllabus_language_non_binding

Last checked
May 15, 2026
Last changed
May 15, 2026

Original evidence

Evidence 1
The University of Maryland strongly encourages instructors to establish a course-specific policy that defines the appropriate and inappropriate use of Generative AI (GenAI) tools.
Source language
English (en)
Snapshot hash
d1cb72f7…
Retrieved
May 15, 2026
Evidence locator
Sample Syllabus Language: AI Course Policies

Source record

Official sources

6 sources

Record information, JSON & citation
Reviewagent reviewedConfidence97%Snapshot statusNot publishedJSONPublic JSON

Citation: University AI Policy Tracker. "University of Maryland, College Park AI Policy Tracker record." Last checked July 19, 2026. https://eduaipolicy.org/universities/university-of-maryland-college-park

Original university source language remains canonical. This tracker is not an official university statement.

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