Change log

The University of Sheffield

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Change summary

Current public record freshness and review state.

The University of Sheffield currently has 14 source-backed claim records and 6 official source attributions. Latest tracked changed date: May 14, 2026.

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.

Claim/evidence diff preview

Diff-style preview built from current public claim/evidence records. Full old/new source diffs require paired historical snapshots.

The University of Sheffield current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+20-0
11 # The University of Sheffield AI policy record
2+source_status: StudySkills@Sheffield guidance says GenAI detection tools are not used at the University of Sheffield because of error-rate and false-positive or false-negative concerns.
3+Evidence (en, 4defbbab80f3): GenAI detection tools are not used at the University of Sheffield. This is due to concerns over their error rates and the potential for both false positives and false negatives when scanning for potential use of GenAI.
4+research: Sheffield PGR guidance says postgraduate researchers' use of generative AI must align with the University's expectations for responsible research and academic integrity.
5+Evidence (en, 5121cdd790a5): PGRs, as researchers, produce original knowledge for an assessment (thesis and viva) that leads to the PhD, and as such, you must be mindful of the principles of research integrity and academic integrity, and your use of generative AI must align with the University's expectations for responsible research and academic integrity.
6+privacy: The PGR guidance says researchers must ensure confidential, proprietary, or personally identifiable information is never uploaded to any GenAI platform.
7+Evidence (en, 5121cdd790a5): Researchers must ensure that confidential, proprietary, or personally identifiable information is never uploaded to any GenAI platform.
8+security_review: IT Services productivity principles say only University-approved AI tools should be used for official University business, and staff have access to Google Gemini as the institutionally supported GenAI tool.
9+Evidence (en, f4c294ec78b0): Only University-approved AI tools should be used for official University business. All staff have access to Google Gemini as the institutionally-supported GenAI tool.
10+privacy: IT Services productivity principles say AI use must comply with GDPR and University data-protection policies, and sensitive or confidential information must not be entered into public or unregulated AI models.
11+Evidence (en, f4c294ec78b0): All use of AI must comply with GDPR and the University's data protection policies. Sensitive or confidential information must not be entered into public or unregulated AI models.
12+academic_integrity: Student academic-integrity guidance tells students to check school or department guidance and module assessment criteria before using GenAI, because use may be prohibited on some modules or assessments.
13+Evidence (en, 4defbbab80f3): The golden rule: always check your school / department guidance and the specific module assessment criteria as the use of GenAI may be specifically prohibited on certain modules or assessments.
14+academic_integrity: Student academic-integrity guidance says a full disclosure of GenAI-produced content should always be acknowledged, and passing off that content as one's own work counts as academic misconduct.
15+Evidence (en, 4defbbab80f3): A full disclosure of any content produced by GenAI should always be acknowledged in your work. Attempts to pass off content as your own work is counted as academic misconduct and may lead to action being taken against you.
16+ai_tool_treatment: IT Services productivity principles say GenAI use is optional except where a team has adopted it for specific tasks, and it is a supportive resource rather than a mandatory requirement for any role.
17+Evidence (en, f4c294ec78b0): The use of GenAI, except where your team may have adopted use for specific tasks, is optional. This technology is intended to be a supportive resource, not a mandatory requirement for any role.
18+ai_tool_treatment: The University of Sheffield identifies Google Gemini as the institutionally supported GenAI tool for learning and teaching, and says Gemini should be used where possible to support those activities.
19+Evidence (en, a02a017bb434): All students and staff have access to Google Gemini as the institutionally supported GenAI tool. Where possible, Gemini should be used to support learning and teaching activities.
20+teaching: The University of Sheffield says every undergraduate programme integrates GenAI literacy through structured teaching activities and formal assessment, while giving staff and students clarity about acceptable AI use across assessments.
21+Evidence (en, a02a017bb434): The University has developed a Common Approach to ensure every undergraduate programme integrates GenAI literacy through structured teaching activities and formal assessment, while providing clarity to staff and students about acceptable AI use across all assessments.

Claim changes

14 claim records

source_status

StudySkills@Sheffield guidance says GenAI detection tools are not used at the University of Sheffield because of error-rate and false-positive or false-negative concerns.

Review: Agent reviewedConfidence96%Evidence1Languagesen

research

Sheffield PGR guidance says postgraduate researchers' use of generative AI must align with the University's expectations for responsible research and academic integrity.

Review: Agent reviewedConfidence96%Evidence1Languagesen

privacy

The PGR guidance says researchers must ensure confidential, proprietary, or personally identifiable information is never uploaded to any GenAI platform.

Review: Agent reviewedConfidence96%Evidence1Languagesen

security_review

IT Services productivity principles say only University-approved AI tools should be used for official University business, and staff have access to Google Gemini as the institutionally supported GenAI tool.

Review: Agent reviewedConfidence96%Evidence1Languagesen

privacy

IT Services productivity principles say AI use must comply with GDPR and University data-protection policies, and sensitive or confidential information must not be entered into public or unregulated AI models.

Review: Agent reviewedConfidence96%Evidence1Languagesen

academic_integrity

Student academic-integrity guidance tells students to check school or department guidance and module assessment criteria before using GenAI, because use may be prohibited on some modules or assessments.

Review: Agent reviewedConfidence95%Evidence1Languagesen

academic_integrity

Student academic-integrity guidance says a full disclosure of GenAI-produced content should always be acknowledged, and passing off that content as one's own work counts as academic misconduct.

Review: Agent reviewedConfidence95%Evidence1Languagesen

ai_tool_treatment

IT Services productivity principles say GenAI use is optional except where a team has adopted it for specific tasks, and it is a supportive resource rather than a mandatory requirement for any role.

Review: Agent reviewedConfidence95%Evidence1Languagesen

ai_tool_treatment

The University of Sheffield identifies Google Gemini as the institutionally supported GenAI tool for learning and teaching, and says Gemini should be used where possible to support those activities.

Review: Agent reviewedConfidence94%Evidence1Languagesen

teaching

The University of Sheffield says every undergraduate programme integrates GenAI literacy through structured teaching activities and formal assessment, while giving staff and students clarity about acceptable AI use across assessments.

Review: Agent reviewedConfidence93%Evidence1Languagesen

research

The PGR guidance permits students to use generative AI in thesis writing, provided the use is consistent with the guidance and properly declared, and warns that exceeding the guidance risks breaching the Academic Misconduct Policy.

Review: Agent reviewedConfidence92%Evidence1Languagesen

academic_integrity

Assessment guidance says that when GenAI use is allowed, students may be asked to provide full disclosure using an Acknowledge, Describe, Evidence template, while noting that some schools may use a different process.

Review: Agent reviewedConfidence91%Evidence1Languagesen

security_review

For student-facing tools outside Google Suite, the University says the New IT Solution Request Process is followed to check data-protection and information-security compliance before those tools are made available on a use-case basis.

Review: Agent reviewedConfidence90%Evidence1Languagesen

other

University Library copyright guidance says users should ensure third-party copyright material pasted into a GenAI system is suitably licensed or used with the rights owner's permission, and should study model terms carefully.

Review: Agent reviewedConfidence89%Evidence1Languagesen

Source snapshots

6 source attributions