College Park, United States

University of Maryland, College Park

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Reviewed record

已审核主张

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.

审核: 智能体已审核置信度97%

标准化值: {"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"}

原始证据

证据 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.

本地化显示 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.

Ai Tool Treatment

UMD publishes GenAI guidelines that apply to faculty, staff, students, and affiliates using GenAI tools in academic, research, or administrative activities.

审核: 智能体已审核置信度94%

标准化值: university-wide_genai_guidelines

原始证据

证据 1
These guidelines apply to all UMD faculty, staff, students, and affiliates using GenAI tools and technologies in academic, research, or administrative activities.

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.

审核: 智能体已审核置信度93%

标准化值: students_assume_disallowed_unless_specified

原始证据

证据 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.

研究

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tells researchers not to input federal, state, or UMD data into externally sourced GenAI tools and not to upload unpublished research data or other confidential information into tools that have not undergone proper review.

审核: 智能体已审核置信度93%

标准化值: external_genai_research_data_restriction

原始证据

证据 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.

隐私

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.

审核: 智能体已审核置信度93%

标准化值: administrative_external_genai_data_restriction

原始证据

证据 1
Administrative staff should not input any institutional data that is not publicly available into externally sourced platforms (free or paid) using GenAI tools.

教学

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

审核: 智能体已审核置信度92%

标准化值: course_specific_policy_encouraged

原始证据

证据 1
Instructors are strongly encouraged to establish a course-specific policy that defines the appropriate and inappropriate use of GenAI tools.

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.

审核: 智能体已审核置信度92%

标准化值: ai_detection_not_definitive_proof

原始证据

证据 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.

采购

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.

审核: 智能体已审核置信度91%

标准化值: dit_contact_before_genai_tool_signup

原始证据

证据 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.

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.

审核: 智能体已审核置信度90%

标准化值: dit_ai_services_srm_reviewed

原始证据

证据 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.

Security Review

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

审核: 智能体已审核置信度90%

标准化值: ai_capable_software_dit_security_compliance

原始证据

证据 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.

教学

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.

审核: 智能体已审核置信度88%

标准化值: tltc_instructor_ai_expectations_and_risk

原始证据

证据 1
Speak openly and frequently with your students about your expectations for technology use - specifically, for AI-based tools.

教学

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.

审核: 智能体已审核置信度88%

标准化值: sample_syllabus_language_non_binding

原始证据

证据 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 record

官方来源

6 sources

Record information, JSON & citation
审核agent reviewed置信度97%Snapshot status未发布JSON公开 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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