public-release-20260715-005
Comparado con public-release-20260714-002.
Universidad of Birmingham public-release-20260715-005 diferencias
Comparando public-release-20260714-002 con public-release-20260715-005.
Registro de cambios
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
Estado actual de actualización y revisión del registro público.
University of Birmingham currently has 15 source-backed claim records and 11 official source attributions. Latest tracked changed date: 19 jul 2026. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
Esta página combina todas las diferencias de versiones públicas para University of Birmingham. Las instantáneas individuales de lanzamiento siguen disponibles desde sus URL específicas del lanzamiento.
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.
Las afirmaciones extraídas recientemente son adiciones al seguimiento y no necesariamente han sido publicadas por la universidad. Los cambios en las instantáneas de origen muestran cambios de hash para la misma URL de origen y no constituyen por sí mismos cambios en la política.
Clasificación semántica para esta diferencia de versión.
Diferencia del seguimiento unificado generada a partir de todas las instantáneas de lanzamiento público para esta universidad.
Comparando public-release-20260714-002 con public-release-20260715-005.
1 diferencia de lanzamiento público
Comparado con public-release-20260714-002.
Comparando public-release-20260714-002 con public-release-20260715-005.
15 Afirmación registros
Microsoft Copilot is listed for University of Birmingham in an official university AI tools source. Derived availability: allowed. Derived endorsement type: officially endorsed.
For assessments and assignments, students should assume generative AI use is not permitted unless the assessment or assignment explicitly states otherwise.
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.
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.
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.
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.
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.
University of Birmingham maintains a generative AI framework for teaching, learning, assessment, and support.
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.
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.
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.
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.
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.
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.
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.
11 source attributions
official_guidance Tracker checked at 13 may 2026, 5:00
official_guidance Tracker checked at 13 may 2026, 5:00
official_guidance Tracker checked at 13 may 2026, 5:00
official_guidance Tracker checked at 13 may 2026, 5:00
official_guidance Tracker checked at 13 may 2026, 5:00
official_guidance Tracker checked at 15 jul 2026, 22:53
official_guidance Tracker checked at 13 may 2026, 5:00
official_guidance Tracker checked at 13 may 2026, 5:00
official_guidance Tracker checked at 13 may 2026, 5:00
official_guidance Tracker checked at 13 may 2026, 5:00
official_guidance Tracker checked at 13 may 2026, 5:00