Change log

University of Maryland, Baltimore

Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.

Change summary

Current public record freshness and review state.

University of Maryland, Baltimore currently has 6 source-backed claim records and 4 official source attributions. Latest tracked changed date: May 20, 2026. No tracker diff rows are recorded in the latest public release.

This page combines all public release diffs for University of Maryland, Baltimore. Individual release snapshots remain available from their release-specific URLs.

No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.

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.

Policy text0Newly extracted0Evidence0Source snapshots0Source text0Source added0Source removed0

Combined release diff

Unified tracker diff generated from all public release snapshots for this university.

University of Maryland, Baltimore combined release diff

Initial tracked release. Lines represent public claim/evidence records entering the release snapshot.

+12-0
11 # University of Maryland, Baltimore AI policy record
2+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.
3+Evidence (en, 53d628f3a1a7): 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.
4+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.
5+Evidence (en, 7caeb6b8879b): 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.
6+procurement: UMB requires Strategic Sourcing and Acquisition Services and CITS approval for acquisition of new AI technology tools, including free tools.
7+Evidence (en, 53d628f3a1a7): 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.
8+security_review: UMB states that AI tools must be reviewed and approved before use on university devices, networks, or with university data.
9+Evidence (en, 7dabcbc34b96): AI tools must be reviewed and approved before use on university devices, networks, or with university data.
10+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.
11+Evidence (en, 7caeb6b8879b): 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.
12+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.
13+Evidence (en, 4f7cf4887c8a): 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.

Release history

0 public release diffs

Claim changes

6 claim records

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%Evidence1Languagesen

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%Evidence1Languagesen

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%Evidence1Languagesen

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%Evidence1Languagesen

procurement

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

Review: Agent reviewedConfidence95%Evidence1Languagesen

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%Evidence1Languagesen

Source snapshots

4 source attributions

AI Toolkit - AI at UMB

official_guidance Tracker checked at May 20, 2026, 2:20 PM

Snapshot hash
4f7cf4887c8a662ac222e01367e0d574ecfdcef2fbd252be8cfb2b9dc5327a5c