Policy presence
University of Greenwich has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
London, United Kingdom
University of Greenwich
University of Greenwich has 5 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 20, 2026.
University of Greenwich AI policy short answer
v1 public contract
University of Greenwich has 5 source-backed AI policy claims from 3 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 20, 2026. Discovery context: University of Greenwich is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Greenwich as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 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-greenwich.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.
Policy signals in this record
- Evidence includes Academic integrity claims.
- Evidence includes Teaching claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- No specific AI service name is highlighted by the current public claim text.
- 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.
- Privacy, sensitive-data, or security 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 Greenwich has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Greenwich has 5 source-backed public claims for coursework; deterministic analysis status: required.
Exams
University of Greenwich has 4 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
University of Greenwich has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Greenwich has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
University of Greenwich has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
University of Greenwich has 3 source-backed public claims for named ai services; deterministic analysis status: required.
Teaching guidance
University of Greenwich has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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
5 reviewed evidence-backed public claim
Academic Integrity
The University of Greenwich 2025 Assessment and Feedback Policy says staff will provide students with the university guide on referencing generative AI, a video on using AI effectively, and the Declaration of AI use via the VLE to support understanding of acceptable AI usage in assessments.
Review: Agent reviewed
Normalized value: staff_provide_genai_reference_guide_video_and_ai_declaration_vle
Original evidence
Evidence 1Staff will provide students with the university’s guide on referencing generative AI, video on using AI effectively and Declaration of AI use via the VLE to support students’ understanding of acceptable AI usage in assessments.
Localized display only
Staff will provide students with the university guide on referencing generative AI, a video on using AI effectively, and the Declaration of AI use via the VLE.
Teaching
The University of Greenwich 2025 Assessment and Feedback Policy says assessment will be designed to maintain integrity and standards where students have access to generative AI, and encourages staff to incorporate generative AI as a learning tool while facilitating responsible student use.
Review: Agent reviewed
Normalized value: assessment_design_integrity_standards_with_student_genai_access
Original evidence
Evidence 1Learning technologies shall be used with consideration of potential biases and limitations of automation. Assessment will be designed to ensure that integrity and standards are maintained where students have access to generative AI, without sacrificing the importance of authenticity of assessment and pedagogic practice. Staff are encouraged to incorporate generative AI as a learning tool and equally facilitate responsible AI usage from students.
Localized display only
Assessment will be designed to ensure integrity and standards are maintained where students have access to generative AI, and staff are encouraged to incorporate generative AI as a learning tool while facilitating responsible student use.
Ai Tool Treatment
University of Greenwich student AI guidance encourages students to use AI to aid learning, while telling students to acknowledge AI use in assignments by adding a declaration and not to copy and paste directly from an AI tool for submitted English-language work.
Review: Agent reviewed
Normalized value: student_ai_learning_use_with_declaration_and_no_direct_copy_paste
Original evidence
Evidence 1We encourage you to use AI in your studies ... However, you must not copy and paste directly from an AI tool as your written English is an assessed element of all work written in the English language, and submitted work must always be your own. ... If you use AI in the process of undertaking your assignment, for example to create an outline of your assignment or to summarize articles, you should acknowledge this by adding a declaration at the end of your work.
Localized display only
We encourage you to use AI in your studies ... However, you must not copy and paste directly from an AI tool ... If you use AI in the process of undertaking your assignment ... you should acknowledge this by adding a declaration at the end of your work.
Privacy
For students who opt to use Studiosity, University of Greenwich says it processes personal data including name, email, course, student ID, and content of interactions with Studiosity tutors, and that Studiosity is an independent data controller based in Australia.
Review: Agent reviewed
Normalized value: studiosity_privacy_notice_data_fields_and_independent_controller
Original evidence
Evidence 1The University of Greenwich processes the following personal data about you if you opt to use the Studiosity service: First name, last name, email address; Course; Student ID; Content of your interactions with Studiosity tutors ... Studiosity is an independent data controller based in Australia.
Localized display only
For opted-in Studiosity users, Greenwich lists personal data including name, email, course, student ID, and interaction content, and says Studiosity is an independent data controller based in Australia.
Ai Tool Treatment
University of Greenwich describes Studiosity+ as an online service for eligible Greenwich students that uses AI to generate academic-writing feedback, with AI trained by subject specialists and feedback monitored by specialists.
Review: Agent reviewed
Normalized value: studiosity_plus_ai_writing_feedback_supported_service
Original evidence
Evidence 1The University has teamed up with Studiosity+ to bring you an online service that can help improve your academic writing skills. Studiosity+ will allow you to upload almost complete drafts of your essays, reports and other written assessment types. Studiosity+ uses AI to generate feedback on your writing. The AI has been trained by subject specialists, and specialists monitor the feedback you receive.
Localized display only
Studiosity+ is described as an online academic-writing support service that uses AI to generate writing feedback, with AI trained by subject specialists and feedback monitored by specialists.
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
3 source attribution
AI for students
gre.ac.uk
Assessment and Feedback Policy 2025
gre.ac.uk
Studiosity+
gre.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.