Policy presence
University of York has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
York, United Kingdom
University of York has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of York has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
University of York has 4 source-backed public claims for coursework; deterministic analysis status: recommended.
University of York has 4 source-backed public claims for exams; deterministic analysis status: recommended.
University of York has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of York has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
University of York has 3 source-backed public claims for approved tools; deterministic analysis status: required.
University of York has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of York has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
University of York has 3 source-backed public claims 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.
9 reviewed evidence-backed public claim
Ai Tool Treatment
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
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
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
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
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.
Ai Tool Treatment
Normalized value: University of York identifies Google Gemini as its preferred generative AI tool.
Original evidence
Evidence 1Google Gemini is the University's preferred generative AI tool because any data inputted is fully protected and chats are never used for training or human review by Google.
Privacy
Normalized value: University of York says students must sign into Gemini with University credentials to ensure data protection.
Original evidence
Evidence 1You must sign into Gemini using your University credentials to ensure this.
Privacy
Normalized value: University of York tells students not to upload personal, sensitive, or copyrighted material to generative AI.
Original evidence
Evidence 1Do not upload personal/sensitive/copyrighted material to generative AI.
Teaching
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.
0 machine or needs-review claim
7 source attribution
york.ac.uk
york.ac.uk
york.ac.uk
york.ac.uk
york.ac.uk
york.ac.uk
york.ac.uk