Policy presence
University of Nottingham has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Nottingham, United Kingdom
University of Nottingham is listed as QS 2026 rank 97. University of Nottingham has 4 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
University of Nottingham is listed as QS 2026 rank 97. University of Nottingham has 4 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists University of Nottingham as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-nottingham.json. The entity-level confidence is 95%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page 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.
Deterministic source-backed dimensions derived from this record's public claims.
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
University of Nottingham has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Nottingham has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
University of Nottingham has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Nottingham has 3 source-backed public claims for exams; deterministic analysis status: restricted.
University of Nottingham has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.
University of Nottingham has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
University of Nottingham has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
University of Nottingham has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
No source-backed public claim about teaching guidance is present in this profile.
The current public tracker record does not contain claim evidence about instructor, classroom, assessment-design, or syllabus guidance.
University of Nottingham has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
4 reviewed evidence-backed public claim
Academic Integrity
Normalized value: unpermitted_genai_generated_or_improved_assessment_work_false_authorship
Original evidence
Evidence 1False Authorship includes the submission of work that is generated and/or improved by software that is not permitted for that assessment. This may include the use of Generative Artificial Intelligence (AI) software to produce text, images or data or other work (e.g., Copilot, ChatGPT, DeepSeek, BARD, Wordtune, Quillbot, DALL-E, chatbots and similar).
Localized display only
The Quality Manual includes unpermitted AI-generated or AI-improved assessment work within false authorship.
Ai Tool Treatment
Normalized value: assessment_specific_ai_use_essential_optional_prohibited_check_required
Original evidence
Evidence 1Your module tutor and/or assessment documents should specify which uses of AI are essential, optional, and/or prohibited for each assessed piece of work. The information should also tell you how to acknowledge and provide evidence of any AI use. If you can't find this information, check with your module convenor. Do not make any assumptions about uses of AI in your assessments.
Localized display only
Nottingham says AI use is assessment-specific and students should not assume permission when guidance is absent.
Privacy
Normalized value: microsoft_copilot_recommended_for_study_support_with_login_privacy_note
Original evidence
Evidence 1When using generative AI to support your studies outside of your assessments, the university provides access to and recommends use of Microsoft Copilot, with your University of Nottingham login. When you are logged in, Copilot will not record your prompts, inputs, and uploads as training data. This is the best way to maintain privacy and data protection whilst using generative AI.
Localized display only
For study support outside assessment, Nottingham recommends logged-in Microsoft Copilot and says prompts, inputs and uploads are not recorded as training data.
Academic Integrity
Normalized value: allowed_ai_assessment_use_acknowledgement_and_records_expected
Original evidence
Evidence 1Where use of AI in your assessed work is marked as essential or optional, information on how to acknowledge your use of AI should be included in your module handbook or assessment brief. Whenever you are interacting with generative AI, it is good practice to keep a full record or chat log of these interactions.
Localized display only
For essential or optional AI use, Nottingham says acknowledgement instructions should be in module or assessment information and recommends keeping chat logs.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
4 source attribution
nottingham.ac.uk
nottingham.ac.uk
nottingham.ac.uk
nottingham.ac.uk
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.