public-release-20260523-002
Comparado con public-release-20260523-001.
The University of Sheffield public-release-20260523-002 diferencias
Comparando public-release-20260523-001 con public-release-20260523-002.
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.
The University of Sheffield currently has 18 source-backed claim records and 8 official source attributions. Latest tracked changed date: 23 may 2026. Latest tracker diff: 0 comparable policy-text changes, 4 newly extracted claims, 4 source snapshot changes.
Esta página combina todas las diferencias de versiones públicas para The University of Sheffield. 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.
Combining 3 public release diffs for this university. Each section below keeps the original release-to-release comparison.
3 public release diffs
Comparado con public-release-20260523-001.
Comparando public-release-20260523-001 con public-release-20260523-002.
Comparado con public-release-20260523-002.
Comparando public-release-20260523-002 con public-release-20260524-001.
Comparado con public-release-20260526-001.
Comparando public-release-20260526-001 con public-release-20260526-003.
18 Afirmación registros
The University of Sheffield tells students that GenAI outputs should not be used as sources for assessment and should never be cited as if they were sources.
The University of Sheffield says it does not support use of sites that share lecture notes, essays, lab reports, or exam questions.
The University of Sheffield tells students not to provide personal, private, or confidential information in GenAI prompts.
The University of Sheffield warns that unpermitted GenAI use may be treated as unfair advantage even if the student discloses it.
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.
Sheffield PGR guidance says postgraduate researchers' use of generative AI must align with the University's expectations for responsible research and academic integrity.
The PGR guidance says researchers must ensure confidential, proprietary, or personally identifiable information is never uploaded to any GenAI platform.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
8 source attributions
official_guidance Tracker checked at 23 may 2026, 18:20
official_guidance Tracker checked at 14 may 2026, 2:13
official_guidance Tracker checked at 14 may 2026, 2:13
official_guidance Tracker checked at 14 may 2026, 2:13
official_guidance Tracker checked at 23 may 2026, 18:20
official_guidance Tracker checked at 14 may 2026, 2:13
official_guidance Tracker checked at 14 may 2026, 2:13
official_guidance Tracker checked at 14 may 2026, 2:13