University AI Policy Tracker
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Kingston upon Thames, United Kingdom

Kingston University, London

RankingQS World University Rankings 2026: =660UpdatedMay 18, 2026

No reviewed summary yet

Reviewed record

Reviewed claims

5 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 reviewedConfidence97%

Normalized value: unacceptable_genai_presenting_ai_content_without_acknowledgement_unless_assessment_brief_permits

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
The 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.
Source language
English (en-GB)
Snapshot hash
a65ad969…
Retrieved
May 18, 2026
Evidence locator
PDF paragraph 16, Unacceptable use of Generative Artificial Intelligence

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 reviewedConfidence96%

Normalized value: generative_ai_editorial_process_use_must_be_acknowledged

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
Where a Generative AI has been used as part of the editorial process, then this must be acknowledged by the student.
Source language
English (en-GB)
Snapshot hash
c103d6c1…
Retrieved
May 18, 2026
Evidence locator
PDF principles governing use of third party help

Academic Integrity

Kingston University's 2025/26 Academic Integrity procedure says contributions by artificial intelligence tools must be properly acknowledged.

Review: Agent reviewedConfidence95%

Normalized value: ai_contributions_must_be_acknowledged

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
Contributions by artificial intelligence (AI) tools must also be properly acknowledged.
Source language
English (en-GB)
Snapshot hash
a65ad969…
Retrieved
May 18, 2026
Evidence locator
PDF text near Academic Integrity principles

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 reviewedConfidence92%

Normalized value: generative_ai_treated_as_possible_third_party_editorial_help

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
This 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 language
English (en-GB)
Snapshot hash
c103d6c1…
Retrieved
May 18, 2026
Evidence locator
PDF introduction

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 reviewedConfidence90%

Normalized value: 2025_26_genai_academic_integrity_definition_and_ag2_editorial_help_source_status

Last checked
May 18, 2026
Last changed
May 18, 2026

Original evidence

Evidence 1
Introduction 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 language
English (en-GB)
Snapshot hash
4fbe3423…
Retrieved
May 18, 2026
Evidence locator
PDF page 8, Academic Integrity Regulations - AR6 and AR7; Academic Guidance 2

Source record

Official sources

3 sources

Record information, JSON & citation
Reviewagent reviewedConfidence97%Snapshot statusNot publishedJSONPublic JSON

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.

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