Change log

University of Birmingham

Release-to-release tracker diff with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.

Change summary

Current public record freshness and review state.

University of Birmingham currently has 14 source-backed claim records and 10 official source attributions. Latest tracked changed date: May 13, 2026. No tracker diff rows are recorded in the latest public release.

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

Release diff

Unified tracker diff generated from the previous and current public release snapshots.

No tracker claim/evidence/source changes are recorded for this university in the latest public release.

Claim changes

14 claim records

academic_integrity

For assessments and assignments, students should assume generative AI use is not permitted unless the assessment or assignment explicitly states otherwise.

Review: Agent reviewedConfidence96%Evidence1Languagesen

security_review

The University states that generative AI detection tools are not currently allowable and that student work should not be uploaded to generative AI detection software.

Review: Agent reviewedConfidence96%Evidence1Languagesen

academic_integrity

For AI-supported marking and feedback, the University says all decisions, outcomes, and feedback must be reviewed by academic staff before release to students, and generative AI tools alone cannot allocate marks and student grades.

Review: Agent reviewedConfidence96%Evidence1Languagesen

privacy

The research AI guidance says personal, confidential, or sensitive data must not be entered into AI tools without clear justification, data minimisation, and a Data Protection Impact Assessment where applicable.

Review: Agent reviewedConfidence96%Evidence1Languagesen

ai_tool_treatment

The student guidance allows use of generative AI tools as study aids for personal learning and research, while distinguishing that from submitting AI-generated output as the student's own assessment work.

Review: Agent reviewedConfidence95%Evidence1Languagesen

research

The research AI guidance applies to University of Birmingham researchers using, developing, or deploying AI, and places accountability for substantive claims, interpretations, and outputs on human researchers.

Review: Agent reviewedConfidence95%Evidence1Languagesen

teaching

University of Birmingham maintains a generative AI framework for teaching, learning, assessment, and support.

Review: Agent reviewedConfidence94%Evidence1Languagesen

teaching

Academic staff are expected to state whether and how generative AI tools are permitted in assessments or assignments, including in course outlines, briefs, Canvas pages, and handbooks.

Review: Agent reviewedConfidence94%Evidence1Languagesen

teaching

University-wide AI marking principles allow academic staff to use AI systems to support assessment, grading, moderation and feedback after appropriate approval, while academic staff remain responsible for academic judgements and feedback.

Review: Agent reviewedConfidence94%Evidence1Languagesen

academic_integrity

For PGT dissertations, students should not submit AI-generated material or content unless the School specifically permits it, and permitted use must follow the University framework and be referenced.

Review: Agent reviewedConfidence93%Evidence1Languagesen

security_review

The research AI guidance says researchers should use University-endorsed AI tools for licensing, data protection, and information security compliance, and should justify and record use of unapproved or externally hosted tools.

Review: Agent reviewedConfidence93%Evidence1Languagesen

procurement

The researcher tool-selection guidance points researchers to University-approved Enterprise Microsoft Copilot access and tells them to confirm the Enterprise data protection indicator before using it.

Review: Agent reviewedConfidence91%Evidence1Languagesen

procurement

The AI tools licensing guidance tells users to review terms and conditions before registering for a new AI tool and to seek advice when data protection, accessibility, indemnity, or copyright concerns arise.

Review: Agent reviewedConfidence89%Evidence1Languagesen

privacy

When AI-supported marking and feedback practices are used, student-facing information should explain why and how AI tools are used, human oversight, academic judgement, and privacy concerns about student data or work.

Review: Agent reviewedConfidence88%Evidence1Languagesen

Source snapshots

10 source attributions