Change log

University of Oxford

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 Oxford currently has 11 source-backed claim records and 6 official source attributions. Latest tracked changed date: May 6, 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

11 claim records

other

Unapproved AI transcription bots should not be used in Teams meetings. The inbuilt Teams Transcription facility or Microsoft Copilot may be used subject to appropriate data protection considerations. Other AI transcription bot services should be avoided, and meeting organisers should set options to prevent participants from adding unapproved transcription bots.

Review: Agent reviewedConfidence90%Evidence1Languagesen

academic_integrity

Oxford requires postgraduate research students to include a statement on their use of generative AI in their final thesis submission.

Review: Agent reviewedConfidence95%Evidence1Languagesen

academic_integrity

For PGR students, the following uses of generative AI are not permitted in summative assessments: substantive original writing by GenAI (verbatim or closely paraphrased for chapters or parts thereof) which constitutes plagiarism; using AI to produce plots or data visualisations directly from prompts; and entering private or confidential data into third-party AI tools.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

External custom GPTs should not be used to process confidential University data or sensitive personal data. No non-public University data (including confidential, internal, or personal data) may be incorporated in any custom GPT shared with external users.

Review: Agent reviewedConfidence90%Evidence2Languagesen

academic_integrity

Staff setting summative assessment must: declare whether/how students can use AI; review assessment design for alignment with permitted AI use; ensure equality of baseline AI tool provision where authorised; specify declaration forms for student AI use; only identify suspected unauthorised AI use through marking or university-endorsed detection tools (none currently endorsed); and handle misconduct under usual disciplinary regulations.

Review: Agent reviewedConfidence95%Evidence1Languagesen

academic_integrity

Students undertaking summative assessment must: complete assessment in line with the AI use declaration for each assignment; acknowledge their AI use via a formal declaration in the prescribed format; and understand that submitting work breaching AI specifications constitutes cheating and may constitute plagiarism, handled under usual disciplinary regulations.

Review: Agent reviewedConfidence95%Evidence1Languagesen

academic_integrity

The University's policy on AI use in summative assessment is based on three principles endorsed by Education Committee in Trinity term 2025: (1) educational practice must be grounded in values of integrity, honesty and transparency, which must be clearly articulated and frequently discussed; (2) every discrete unit of assessment must be carefully designed to be fit for its specific purposes, clearly articulated to students; (3) every summative assessment must be accompanied by a clear explanation of what appropriate assistance is permitted and what is forbidden, specifying how students should report assistance received.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

All cloud-based generative AI tools must be subject to a security risk assessment before being used with University information. Free and open-source services generally cannot complete a full assessment and should not be used for confidential information.

Review: Agent reviewedConfidence95%Evidence1Languagesen

other

ChatGPT Edu and Google Gemini, when licensed via the AI Competency Centre, have been approved for processing of Confidential University data by the Information Security team. University data processed through these licensed platforms will not be used to train AI models. Confidential data must only be used with the University's approved, SSO-protected platforms.

Review: Agent reviewedConfidence95%Evidence3Languagesen

academic_integrity

For PGR summative assessment (transfer, confirmation, thesis), the following AI uses are permitted without declaration: local editing tools (grammar assistants, spell-checkers, code debuggers making small local changes); AI for background research, language translation, bibliography creation, and general subject understanding; and AI for coding where coding serves a research purpose but is not the substantive output. Students remain responsible for correctness of any code used.

Review: Agent reviewedConfidence90%Evidence1Languagesen

academic_integrity

Unauthorised use of generative AI falls under the University's plagiarism regulations and is subject to academic penalties in summative assessments. Students must learn and practise academic skills of note-taking and clear attribution to differentiate their own work from AI-derived material. Where AI use is authorised, students should give clear acknowledgment of how it has been used.

Review: Agent reviewedConfidence85%Evidence1Languagesen

Source snapshots

6 source attributions

AI and academic practice | Centre for Teaching and Learning

official_guidance Tracker checked at May 6, 2026, 12:57 AM

Snapshot hash
ca36f4631166d8e1a2175fc8836878552b4a14fa98d336b0ab4ddc20435456f8

An introduction to the use of generative AI tools in teaching

official_guidance Tracker checked at May 6, 2026, 12:57 AM

Snapshot hash
9414bd7307cd58218608ce57b4e8bc2f6f1dd910fb69e1747ffcbc21fb7ca0d9
University of Oxford AI Policy Tracker Release Diff | University AI Policy Tracker