Baltimore, United States

University of Maryland, Baltimore

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage6 reviewedEvidence-backed claims6Reviewed6Candidate0Official sources4Source languageenPublic JSON/api/public/v1/universities/university-of-maryland-baltimore.json

Policy profile

Coverage score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence81%

AI disclosure

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Academic integrity

University of Maryland, Baltimore has 1 source-backed public claim for academic integrity; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence80%Evidence1Sources1

Teaching guidance

University of Maryland, Baltimore has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence82%Evidence1Sources1

AI tools

Derived tool records1

AI tools

University of Maryland, Baltimore

Tool
AI tools
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed

Evidence-backed claims

6 reviewed evidence-backed public claim

Other

UMB's AI Governance Policy applies to UMB faculty, staff, students, and affiliates who develop, use, or are impacted by AI technologies in research, teaching, operations, and service.

Review: Agent reviewedConfidence96%

Normalized value: university-wide AI governance scope

Original evidence

Evidence 1
This policy applies to all UMB faculty, staff, students, and affiliates who develop, utilize, or are impacted by AI technologies in research, teaching, operations, and service.

Localized display only

This policy applies to all UMB faculty, staff, students, and affiliates who develop, use, or are impacted by AI technologies in research, teaching, operations, and service.

Privacy

UMB says Sensitive/Restricted Data, including PII and PHI, should not be uploaded into public AI systems, and confidential or sensitive UMB data should only be uploaded into approved secure UMB-sponsored AI systems.

Review: Agent reviewedConfidence96%

Normalized value: no sensitive or restricted data in public AI systems

Original evidence

Evidence 1
Important: Never upload Sensitive/Restricted Data, which includes Personally Identifiable Information (PII) and Protected Health Information (PHI), into public AI systems. UMB confidential and sensitive data should only be uploaded into approved secure UMB sponsored AI systems.

Localized display only

UMB says never to upload Sensitive/Restricted Data, including PII and PHI, into public AI systems.

Procurement

UMB requires Strategic Sourcing and Acquisition Services and CITS approval for acquisition of new AI technology tools, including free tools.

Review: Agent reviewedConfidence95%

Normalized value: AI tool acquisition requires SSAS and CITS approval

Original evidence

Evidence 1
Acquisition of new AI technology requires Strategic Sourcing and Acquisition Services (SSAS) and Center for Information Technology Services (CITS) approval, for both procurement and free tools.

Localized display only

Acquisition of new AI technology requires SSAS and CITS approval, including both procurement and free tools.

Security Review

UMB states that AI tools must be reviewed and approved before use on university devices, networks, or with university data.

Review: Agent reviewedConfidence95%

Normalized value: AI tools require review before UMB device, network, or data use

Original evidence

Evidence 1
AI tools must be reviewed and approved before use on university devices, networks, or with university data.

Localized display only

AI tools must be reviewed and approved before UMB device, network, or university-data use.

Academic Integrity

UMB guidance says GenAI tools should not be used to fabricate, falsify, misrepresent information, impersonate individuals, or generate deceptive content, except in controlled ethical pedagogical or research uses.

Review: Agent reviewedConfidence94%

Normalized value: GenAI misuse conflicts with academic integrity

Original evidence

Evidence 1
GenAI tools should not be used to fabricate, falsify, or misrepresent information, impersonate individuals, or generate deceptive content except when intentionally employed by instructors or researchers for pedagogical or research purposes in a controlled and ethical manner.

Localized display only

GenAI tools should not be used to fabricate, falsify, misrepresent, impersonate, or generate deceptive content outside controlled ethical uses.

Ai Tool Treatment

UMB's AI Toolkit organizes AI tools by data classification level and identifies Level 2 enterprise AI tools as approved for highly sensitive and confidential data.

Review: Agent reviewedConfidence94%

Normalized value: AI tools organized by data classification

Original evidence

Evidence 1
Tools are organized by data classification level to help you choose the appropriate tool for your needs. Level 2 - Confidential Enterprise-grade AI tools approved for highly sensitive and confidential data.

Localized display only

The toolkit organizes tools by data classification level and identifies Level 2 enterprise AI tools for highly sensitive and confidential data.

Candidate claims

0 machine or needs-review claim

Official sources

4 source attribution

Change log

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

Corrections

Back to universities