Do
- Check whether your assessment brief explicitly permits generative AI use.
- Properly acknowledge all AI tool contributions in submitted work.
- Acknowledge generative AI used in the editorial process.
Kingston upon Thames, United Kingdom Last checked
Kingston University, London
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Kingston University, London
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Student guide · AR6 regulation and AG2 guidance
Check your brief and acknowledge all AI contributions.
Kingston's 2025/26 Academic Integrity regulations (AR6) define presenting AI content as your own without proper acknowledgement as misconduct unless explicitly permitted in the brief. AG2 requires acknowledging AI used for editorial assistance or proofreading.
A complete student policy summary is not available yet; see the collected claims and sources.
Scope and transition details
Kingston's 2025/26 regulations introduced formal GenAI definitions across AR6 (taught) and AR7 (research). Under AG2 guidance, students must acknowledge generative AI used as part of the editorial process.
Don't
- Don't present content generated by AI tools as your own without proper acknowledgement, except where explicitly permitted in the brief.
- Don't omit acknowledgement when using AI for editorial or proofreading help.
- Don't assume AI is permitted without an explicit assessment brief allowance.
Explore the current record by topic
Coursework
Required
Kingston University, London has 4 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Required
Kingston University, London has 4 source-backed public claims for exams; deterministic analysis status: required.
Disclosure
Required
Kingston University, London has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Privacy & sensitive data
Not mentioned in reviewed sources
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
Approved tools
Recommended
Kingston University, London has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Research & publication
Not mentioned in reviewed sources
No source-backed public claim about research AI use is present in this profile.
More reviewed record topics
Academic integrity
Required
Kingston University, London has 4 source-backed public claims for academic integrity; deterministic analysis status: required.
Teaching guidance
Not mentioned in reviewed sources
No source-backed public claim about teaching guidance is present in this profile.
Security and procurement
Not mentioned in reviewed sources
No source-backed public claim about AI security review or procurement is present in this profile.
AI tools & access
Tool access is not permission to use AI in an assessment. Check your assignment rules, eligible users and data restrictions.
No source-backed tool record has been established for this university yet. This does not mean AI tools are unavailable or prohibited.
Record updates
Updates to this site's reviewed record, not confirmation that the university changed its policy.
Update records are not available for this page yet.
Reviewed record
Reviewed claims
5 reviewed claims
Academic Integrity 3 reviewed claims
Academic Integrity
Kingston University's 2025/26 Academic Integrity procedure defines unacceptable use of generative AI as presenting AI-generated content as one's own without proper acknowledgement, except when the assessment brief explicitly permits it.
Review: Agent reviewed
Normalized value: unacceptable_genai_presenting_ai_content_without_acknowledgement_unless_assessment_brief_permits
Original evidence
Evidence 1The University defines the unacceptable use of Generative Artificial Intelligence as the act of presenting content generated by artificial intelligence tools (such as text, media, tables etc - list not exhaustive), as one's own without proper acknowledgement, except where the nature of the assessment makes this permissible and is explicitly stated in the assessment brief.Academic Integrity
Kingston University's AG2 guidance says that if generative AI is used as part of the editorial process, the student must acknowledge that use.
Review: Agent reviewed
Normalized value: generative_ai_editorial_process_use_must_be_acknowledged
Original evidence
Evidence 1Where a Generative AI has been used as part of the editorial process, then this must be acknowledged by the student.Academic Integrity
Kingston University's 2025/26 Academic Integrity procedure says contributions by artificial intelligence tools must be properly acknowledged.
Review: Agent reviewed
Normalized value: ai_contributions_must_be_acknowledged
Original evidence
Evidence 1Contributions by artificial intelligence (AI) tools must also be properly acknowledged.AI tool use 1 reviewed claim
Ai Tool Treatment
Kingston University's AG2 editorial-help guidance covers software tools including generative AI when students use third-party help in draft or final assessment work.
Review: Agent reviewed
Normalized value: generative_ai_treated_as_possible_third_party_editorial_help
Original evidence
Evidence 1This guidance is for use when a student is considering whether to employ a third party such as a professional copy editing or proof-reading company or software tool (including generative artificial intelligence (GAI)) when producing work in draft or final version.Source Status 1 reviewed claim
Source Status
Kingston University's 2025/26 regulation-change summary states that AR6 and AR7 introduced a formal definition of generative AI use within types of academic misconduct, and that AG2 became standalone guidance referencing AI and non-AI editorial help.
Review: Agent reviewed
Normalized value: 2025_26_genai_academic_integrity_definition_and_ag2_editorial_help_source_status
Original evidence
Evidence 1Introduction of a formal definition of use of generative artificial intelligence articulated within our current different types for academic misconduct. This guidance was previously published as an Annex within the Academic Integrity Procedures for Taught and Research degrees (AR6 and AR7) but has been reviewed as a new standalone document which references both AI and non-AI editorial help.Source record
Official sources
3 sources
3 official URLs; 3 source attributions and their captured versions retained.
Academic Guidance 2: Guidance on Editorial Help for Student Assessment 2025-2026
assets.kingston.ac.uk
University official source
assets.kingston.ac.uk
Hash and captured version
Academic Guidance 2: Guidance on Editorial Help for Student Assessment 2025-2026 · 2026-05-18T03:00:00.000Z
Representation unspecified in this historical record; do not assume an original-file hash.
c103d6c1350a4d057670958f0c84b9b548a45918337408572fa1475efd0b4aaf
Hashes identify a captured version; they do not establish current policy or review approval.
Academic Integrity Taught Courses 2025-2026
assets.kingston.ac.uk
University official source
assets.kingston.ac.uk
Hash and captured version
Academic Integrity Taught Courses 2025-2026 · 2026-05-18T03:00:00.000Z
Representation unspecified in this historical record; do not assume an original-file hash.
a65ad969e826de23bcb07305cb388c0ae37fd584f5404a64d9e9449cc22406f6
Hashes identify a captured version; they do not establish current policy or review approval.
Policies and regulations - Summary of changes to regulations for 2025-2026
assets.kingston.ac.uk
University official source
assets.kingston.ac.uk
Hash and captured version
Policies and regulations - Summary of changes to regulations for 2025-2026 · 2026-05-18T03:02:00.000Z
Representation unspecified in this historical record; do not assume an original-file hash.
4fbe3423fc7b9e7d6985eedcb404f69952bc1af9c2ce67ae7dd90d6a86437dcd
Hashes identify a captured version; they do not establish current policy or review approval.
Explore
Related university AI policy records
4 records
Record information, JSON & citation
Outdated or incorrect policy? Report an issue ↗
Citation: University AI Policy Tracker. "Kingston University, London AI Policy Tracker record." Last checked May 18, 2026. https://eduaipolicy.org/universities/kingston-university-london
Original university source language remains canonical. This tracker is not an official university statement.
Open change logSaved from University AI Policy Tracker. This record summarizes the cited sources; it is not an official university statement or assessment permission. Source and review dates are listed above. Hashes identify retained content, not authorization.
Questions students ask
Questions students ask
Can I use AI for my coursework?
Kingston University, London has 4 source-backed public claims for coursework; deterministic analysis status: required.
View evidence →Do I need to disclose AI use?
Kingston University, London has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
View evidence →Can I upload sensitive data?
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
View evidence →Which tools can I access?
Kingston University, London has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
View evidence →What are the examination rules?
Kingston University, London has 4 source-backed public claims for exams; deterministic analysis status: required.
View evidence →What rules apply to research and publication?
No source-backed public claim about research AI use is present in this profile.
View evidence →What counts as academic misconduct?
Kingston University, London has 4 source-backed public claims for academic integrity; deterministic analysis status: required.
View evidence →What guidance applies to teaching?
No source-backed public claim about teaching guidance is present in this profile.
View evidence →What security and procurement requirements apply?
No source-backed public claim about AI security review or procurement is present in this profile.
View evidence →