Policy presence
University of York has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
York, United Kingdom
University of York
University of York is listed as QS 2026 rank 169. University of York has 6 source-backed AI policy claim records from 6 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 York is listed as QS 2026 rank 169. University of York has 6 source-backed AI policy claim records from 6 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 York as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 6 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-york.json. The entity-level confidence is 94%. 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.
Policy signals in this record
- Evidence includes AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Research claims.
- Evidence includes Teaching claims.
- Named AI services detected in public claims: Gemini.
- Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Review: Agent reviewed
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.
Review: Machine candidate
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.
AI disclosure
University of York has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Coursework
University of York has 3 source-backed public claims for coursework; deterministic analysis status: recommended.
Exams
University of York has 3 source-backed public claims for exams; deterministic analysis status: recommended.
Privacy and data entry
University of York has 2 source-backed public claims for privacy and data entry; deterministic analysis status: required.
Academic integrity
University of York has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
Approved tools
University of York has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
University of York has 2 source-backed public claims for named ai services; deterministic analysis status: required.
Teaching guidance
University of York has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of York has 3 source-backed public claims for research guidance; deterministic analysis status: recommended.
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.
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
6 reviewed evidence-backed public claim
Ai Tool Treatment
The University of York identifies Gemini as the University's preferred GenAI tool because data inputted into it is fully protected.
Review: Agent reviewed
Normalized value: gemini_preferred_tool_data_protected
Original evidence
Evidence 1Gemini is the University's preferred GenAI tool because: Any data inputted is fully protected.
Localized display only
York names Gemini as the preferred GenAI tool and says University-account input is protected.
Academic Integrity
University of York student assessment guidance says false authorship is considered an academic misconduct offence under University policy and is treated very seriously.
Review: Agent reviewed
Normalized value: false_authorship_academic_misconduct
Original evidence
Evidence 1False authorship is considered an academic misconduct offence under University policy and is treated very seriously.
Localized display only
York treats false authorship from unapproved or undisclosed help, including generative AI, as academic misconduct.
Privacy
For University data, York's IT guidance says staff and students must only use GenAI tools that are provided and licensed by the University.
Review: Agent reviewed
Normalized value: university_data_requires_university_provided_licensed_genai_tools
Original evidence
Evidence 1staff and students must only use GenAI tools that are provided and licensed by the University.
Localized display only
York's IT guidance restricts University data use to University-provided and licensed GenAI tools.
Research
For PGR programmes, York states that postgraduate researchers are responsible for maintaining critical oversight of their use of generative AI.
Review: Agent reviewed
Normalized value: pgr_ai_use_critical_oversight
Original evidence
Evidence 1You are responsible for maintaining a critical oversight of your use of generative AI.
Localized display only
York's PGR guidance puts responsibility for critical oversight of GenAI use on postgraduate researchers.
Research
York's Responsible AI Use in Research policy requires researchers to document when and what AI tools are used and their influence on the research and dissemination process.
Review: Agent reviewed
Normalized value: researchers_document_ai_tool_use_and_influence
Original evidence
Evidence 1Researchers must document when and what AI tools are used and their influence on the research and dissemination process
Localized display only
York's research AI policy requires researchers to document AI tool use and its influence on research and dissemination.
Teaching
For taught teaching and assessment, York staff guidance recommends keeping students informed of expectations at module and assessment level.
Review: Agent reviewed
Normalized value: staff_guidance_module_assessment_expectations
Original evidence
Evidence 1Keep students informed of expectations at module and assessment level
Localized display only
York recommends that staff keep students informed of module and assessment expectations around GenAI.
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
6 source attribution
Generative AI - Staff guidance
york.ac.uk
Generative AI - Taught students guidance
york.ac.uk
Generative AI tools
york.ac.uk
Guidance on the use of generative Artificial Intelligence in PGR programmes
york.ac.uk
Responsible AI Use in Research
york.ac.uk
Student guidance on using AI and translation tools
york.ac.uk
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.
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.