Nottingham, United Kingdom

University of Nottingham

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.

Short answer

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.

Citation-ready summary

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.

Claim coverage4 reviewedSource languageen-GBPublic JSON/api/public/v1/universities/university-of-nottingham.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Privacy claims.
  • Named AI services detected in public claims: Microsoft Copilot.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources4

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.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score90/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

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.

Privacy and data entry

University of Nottingham has 1 source-backed public claim for privacy and data entry; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%Evidence1Sources1

Teaching guidance

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

University of Nottingham has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence81%Evidence1Sources1

Security and procurement

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

4 reviewed evidence-backed public claim

Academic Integrity

The University of Nottingham Quality Manual includes unpermitted generative-AI-generated or AI-improved assessment work within false authorship.

Review: Agent reviewedConfidence95%

Normalized value: unpermitted_genai_generated_or_improved_assessment_work_false_authorship

Original evidence

Evidence 1
False 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

University of Nottingham student guidance says AI use for assessed work is assessment-specific: module or assessment information should say whether AI use is essential, optional, or prohibited, and students should not assume permission.

Review: Agent reviewedConfidence94%

Normalized value: assessment_specific_ai_use_essential_optional_prohibited_check_required

Original evidence

Evidence 1
Your 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

For study support outside assessments, University of Nottingham guidance recommends Microsoft Copilot with a Nottingham login and says logged-in Copilot will not record prompts, inputs, or uploads as training data.

Review: Agent reviewedConfidence93%

Normalized value: microsoft_copilot_recommended_for_study_support_with_login_privacy_note

Original evidence

Evidence 1
When 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

For assessments where AI use is essential or optional, University of Nottingham guidance says acknowledgement expectations should come from module or assessment information and that students should keep records or chat logs of AI interactions.

Review: Agent reviewedConfidence92%

Normalized value: allowed_ai_assessment_use_acknowledgement_and_records_expected

Original evidence

Evidence 1
Where 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.

Candidate claims

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.

Official sources

4 source attribution

Change log

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.

Last checkedMay 14, 2026Last changedMay 14, 2026Open change log

Corrections and missing 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.

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