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King's College London

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Coursework

Set by the assessment brief

King's does not ban AI, but the level allowed is set per assessment using four suggested levels: Minimal (spell/grammar checkers, transcription), Limited/selective (delineated tasks), Open (no specific restrictions but key stages tracked) and Embedded (AI is part of the task). Copying AI output into a submission is not appropriate under the Academic Misconduct Policy, and work must remain the student's own; ask if unsure.

Official source ↗

Exams

Follow the assessment rules

No university-wide AI permission for examinations was found; the applicable level is set in each assessment brief. Copilot access does not authorise exam use.

Official source ↗

Disclosure

Declaration required

Students must acknowledge any generative AI use in coursework with a declaration statement alongside the references, unless the assessment brief gives other wording: either that no part was generated by AI (grammar and spell checking is consistent with this) or that parts have AI contributions within the brief's acceptable use, naming the tools and how they were used. AI is not cited as an authoritative source. Doctoral students choose one of two AI declarations on the RD2 form.

Official source ↗

Privacy & sensitive data

No personal or others' content

Students should not input personal data, sensitive information or content created by others into any AI platform, even though King's Copilot has commercial data protection. Doctoral students must discuss confidentiality, copyright, data protection and ethics with their supervisors and get written approval before uploading any part of their research. Staff must not upload student work or details to AI tools without explicit permission.

Official source ↗

Institutional tools

Copilot via KCL account

All King's students and staff can use Microsoft Copilot text and image generation by signing in with their KCL Microsoft account; the Enterprise licence provides commercial data protection. King's does not describe Copilot as the only or required tool, and access does not authorise its use in a particular assessment.

Official source ↗

Research & publication

Doctoral: assistive use with approval

Doctoral students may use AI in an assistive role to clarify their own writing, including rewriting or paraphrasing parts of the thesis, but not to replace their authorship; AI in the research process itself (e.g. data analysis) falls under research design and ethics review. Uploading research material needs prior written supervisory approval, theses carry an RD2 AI declaration, and examiners must not upload theses to AI or use AI detectors.

Official source ↗
More reviewed record topics

Academic integrity & procedures

Staged misconduct process

Inappropriate, unattributed AI use can be academic misconduct, but poor academic practice (e.g. incomplete citation) is not misconduct. Cases normally start with an informal Academic Integrity Meeting where students may be asked to explain their work but need not give specific answers. A Stage One penalty can be contested within 10 working days of written notification; a Misconduct Committee decision can be appealed within 10 working days on limited grounds. Outcomes range from warnings and capped resubmission to suspension or expulsion. King's has not enabled Turnitin's AI-detection percentage, though similarity checking continues.

Official source ↗

Teaching & course guidance

Recommended

King's College London supports considered use of generative AI and is open to evolving teaching, assessment, and feedback practices according to need and disciplinary differences. Institutional guidance for AI-assisted marking and feedback (July 2025) emphasizes that reading and assessing student work should primarily be conducted by humans, with human oversight essential to ensure accuracy and appropriateness. Staff should not use GenAI tools to detect students' use of GenAI, as these tools are notoriously unreliable. Staff should never upload student work or include student details into any AI system or GenAI tool without explicit consent, permission, and forethought; approved or supported university GenAI tools should be used for AI-assisted feedback and marking. This guidance governs staff marking and data handling, and does not set course permissions for students.

Official source ↗

Security & procurement

Unclear

Central IT security review protocols, enterprise vendor data protection assessments, and university-wide procurement guidelines for artificial intelligence platforms remain unverified in reviewed public records.

Before you submit

Do

  • Check the assessment brief for the AI level (Minimal, Limited, Open or Embedded) and ask if uncertain.
    Requirement in this scope
  • Add the AI declaration statement with your references (no-AI or AI-contribution version, naming tools and uses).
    Requirement in this scope
  • Doctoral students: get written supervisory approval before uploading research material, and complete the RD2 AI declaration.
    Requirement in this scope

Don’t

  • Do not copy AI-generated output into a submission as your own or let AI make substantive changes to your work.
    Requirement in this scope
  • Do not input personal data, sensitive information or other people's content into any AI platform.
    Requirement in this scope
  • Do not treat Copilot access as permission for a particular assessment.
    Source guidance

AI use questioned?

King's College London

King's College London generative AI guidance (student, doctoral, AI-assisted marking, context, macro-level; last updated April/July 2025); Academic Misconduct Policy (effective 1 September 2023, status Current, next review September 2026). Institution audit remains PARTIAL.

Investigation & response

Under King's Academic Misconduct Policy, a suspected case normally goes first to a Stage One Academic Integrity Meeting (AIM) with two staff members. The AIM is not a hearing and should be informal, supportive and exploratory; where authorship or third-party involvement is in doubt the student may be asked to explain their answers, ideas or references, but must not be pressured or obliged to give specific responses and may respond in writing instead. Staff share their notes, and the student may add information, normally within 5 working days. Possible Stage One outcomes are no concern, poor academic practice, a local educative or restorative outcome, or referral to a Stage Two Misconduct Committee.

Original evidence and scope

Under King's Academic Misconduct Policy, a suspected case normally goes first to a Stage One Academic Integrity Meeting (AIM) with two staff members. The AIM is not a hearing and should be informal, supportive and exploratory; where authorship or third-party involvement is in doubt the student may be asked to explain their answers, ideas or references, but must not be pressured or obliged to give specific responses and may respond in writing instead. Staff share their notes, and the student may add information, normally within 5 working days. Possible Stage One outcomes are no concern, poor academic practice, a local educative or restorative outcome, or referral to a Stage Two Misconduct Committee.

draft-claim-kcl-academic-integrity-meeting
The student will be invited to attend the Academic Integrity Meeting (AIM), which will normally be with any two of the following staff members: module leader, programme leader (or deputy), ASB Chair (or nominee), Programme Manager or personal tutor.

Academic Misconduct Policy s7.7-7.8; physical PDF page 8; lines 392-395 of captured PDF text

Official university source ↗
The meeting is not a hearing, and the meeting should be informal, supportive and exploratory.

Academic Misconduct Policy s7.8; physical PDF page 8; lines 397-398 of captured PDF text

Official university source ↗
Where the academic integrity concerns involve concerns of third-party involvement or doubts about the authorship of the submission, it is appropriate to ask the student to explain their answers, ideas, concepts or references.

Academic Misconduct Policy s7.9; physical PDF page 8; lines 400-402 of captured PDF text

Official university source ↗
The student should not be under any pressure, or obliged to provide specific responses. If a student declines to engage with the AIM, they will have the opportunity to provide a written response.

Academic Misconduct Policy s7.10; physical PDF page 8; lines 406-408 of captured PDF text

Official university source ↗
Staff should keep notes of the discussion and share these with the student, along with any other relevant materials discussed (e.g. items listed in 7.3). The student may provide any other relevant information after the meeting, and should normally do this within 5 working days.

Academic Misconduct Policy s7.11; physical PDF page 9; lines 414-417 of captured PDF text

Official university source ↗
4. That the matter should be referred to Stage Two.

Academic Misconduct Policy s7.13 outcome 4; physical PDF page 9; lines 443-443 of captured PDF text

Official university source ↗

King's Academic Misconduct Policy distinguishes poor academic practice from academic misconduct: an ASB Chair may decide a concern is an unintentional misunderstanding of scholarly practice (for example incomplete citation), which is not misconduct; the student receives feedback and the work is marked against the criteria. Blatant, extensive or careless failures are excluded from this category.

Original evidence and scope

King's Academic Misconduct Policy distinguishes poor academic practice from academic misconduct: an ASB Chair may decide a concern is an unintentional misunderstanding of scholarly practice (for example incomplete citation), which is not misconduct; the student receives feedback and the work is marked against the criteria. Blatant, extensive or careless failures are excluded from this category.

draft-claim-kcl-poor-academic-practice
Once the ASB Chair (or their nominee) has reviewed the information available, they may decide that the concern relates to poor academic practice and that no academic misconduct has occurred. Poor academic practice involves an unintentional misunderstanding of scholarly practice. Examples include when sources are acknowledged to some extent, but citation is inadequate or incomplete. It does not include when the failure to adhere to scholarly practice is blatant, extensive or results from a lack of effort. Poor academic practice is not a form of academic misconduct.

Academic Misconduct Policy s7.4; physical PDF page 8; lines 365-372 of captured PDF text

Official university source ↗

Possible outcomes

King's Academic Misconduct Policy provides two different review routes with different start points. Where a Stage One AIM finds misconduct and applies a local penalty (Outcome 3), the student may send a contestation in writing to Student Conduct & Appeals within 10 working days from the date of written notification of the Stage One outcome. A Stage Two Misconduct Committee decision may be appealed, on the grounds of new evidence or significant procedural error, by submitting a Misconduct Appeal Form within 10 working days of the date of the Misconduct Committee outcome. Possible outcomes range from educative measures such as a formal warning or capped resubmission to punitive outcomes up to suspension or expulsion; AI use does not carry an automatic penalty.

Original evidence and scope

King's Academic Misconduct Policy provides two different review routes with different start points. Where a Stage One AIM finds misconduct and applies a local penalty (Outcome 3), the student may send a contestation in writing to Student Conduct & Appeals within 10 working days from the date of written notification of the Stage One outcome. A Stage Two Misconduct Committee decision may be appealed, on the grounds of new evidence or significant procedural error, by submitting a Misconduct Appeal Form within 10 working days of the date of the Misconduct Committee outcome. Possible outcomes range from educative measures such as a formal warning or capped resubmission to punitive outcomes up to suspension or expulsion; AI use does not carry an automatic penalty.

draft-claim-kcl-misconduct-contestation-appeal
In the case of Outcome 3 (see 7.13), where academic misconduct has been found and a penalty applied by the ASB Chair, the student may contest this outcome.

Academic Misconduct Policy s7.17-7.18; physical PDF page 10; lines 474-475 of captured PDF text

Official university source ↗
The contestation should be sent to Student Conduct & Appeals in writing within 10 working days from the date of written notification of the Stage One outcome.

Academic Misconduct Policy s7.18; physical PDF page 10; lines 477-478 of captured PDF text

Official university source ↗
1. There is new evidence that could not have been, or for good reason was not, made available at the time of the Committee, and the case warrants further consideration;

Academic Misconduct Policy s7.32; physical PDF page 13; lines 626-627 of captured PDF text

Official university source ↗
Students should submit a Misconduct Appeal Form to the Associate Director, Student Conduct & Appeals (or their nominee), on behalf of the Vice Chancellor & President, within 10 working days of the date of the Misconduct Committee outcome.

Academic Misconduct Policy s7.34; physical PDF page 13; lines 635-637 of captured PDF text

Official university source ↗
a formal warning, with those parts of the student's work that are unaffected by the concern to be marked;

Academic Misconduct Policy s7.26(i); physical PDF page 11; lines 558-559 of captured PDF text

Official university source ↗
expulsion (with or without credit retained).

Academic Misconduct Policy s7.26(v); physical PDF page 12; lines 592-592 of captured PDF text

Official university source ↗

At King's College London, inappropriate use of generative AI without attribution is considered academic misconduct and can result in penalties ranging from formal warnings to expulsion.

Original evidence and scope

At King's College London, inappropriate use of generative AI without attribution is considered academic misconduct and can result in penalties ranging from formal warnings to expulsion.

CL-002
Inappropriate use without attribution is considered academic misconduct. For further details please see the Academic Misconduct Policy and Academic Misconduct Procedure. Potential penalties can range from formal warnings, resubmitting the coursework, suspension or expulsion.

Student guidance > What are the consequences of inappropriate use of generative AI?

Official university source ↗

Review & appeal

King's Academic Misconduct Policy provides two different review routes with different start points. Where a Stage One AIM finds misconduct and applies a local penalty (Outcome 3), the student may send a contestation in writing to Student Conduct & Appeals within 10 working days from the date of written notification of the Stage One outcome. A Stage Two Misconduct Committee decision may be appealed, on the grounds of new evidence or significant procedural error, by submitting a Misconduct Appeal Form within 10 working days of the date of the Misconduct Committee outcome. Possible outcomes range from educative measures such as a formal warning or capped resubmission to punitive outcomes up to suspension or expulsion; AI use does not carry an automatic penalty.

Original evidence and scope

King's Academic Misconduct Policy provides two different review routes with different start points. Where a Stage One AIM finds misconduct and applies a local penalty (Outcome 3), the student may send a contestation in writing to Student Conduct & Appeals within 10 working days from the date of written notification of the Stage One outcome. A Stage Two Misconduct Committee decision may be appealed, on the grounds of new evidence or significant procedural error, by submitting a Misconduct Appeal Form within 10 working days of the date of the Misconduct Committee outcome. Possible outcomes range from educative measures such as a formal warning or capped resubmission to punitive outcomes up to suspension or expulsion; AI use does not carry an automatic penalty.

draft-claim-kcl-misconduct-contestation-appeal
In the case of Outcome 3 (see 7.13), where academic misconduct has been found and a penalty applied by the ASB Chair, the student may contest this outcome.

Academic Misconduct Policy s7.17-7.18; physical PDF page 10; lines 474-475 of captured PDF text

Official university source ↗
The contestation should be sent to Student Conduct & Appeals in writing within 10 working days from the date of written notification of the Stage One outcome.

Academic Misconduct Policy s7.18; physical PDF page 10; lines 477-478 of captured PDF text

Official university source ↗
1. There is new evidence that could not have been, or for good reason was not, made available at the time of the Committee, and the case warrants further consideration;

Academic Misconduct Policy s7.32; physical PDF page 13; lines 626-627 of captured PDF text

Official university source ↗
Students should submit a Misconduct Appeal Form to the Associate Director, Student Conduct & Appeals (or their nominee), on behalf of the Vice Chancellor & President, within 10 working days of the date of the Misconduct Committee outcome.

Academic Misconduct Policy s7.34; physical PDF page 13; lines 635-637 of captured PDF text

Official university source ↗
a formal warning, with those parts of the student's work that are unaffected by the concern to be marked;

Academic Misconduct Policy s7.26(i); physical PDF page 11; lines 558-559 of captured PDF text

Official university source ↗
expulsion (with or without credit retained).

Academic Misconduct Policy s7.26(v); physical PDF page 12; lines 592-592 of captured PDF text

Official university source ↗

AI tools & access

  • Microsoft CopilotInstitutional access / licenceRecorded as allowed in the source scope

    Sign in with KCL Microsoft account credentials.

Record updatesLast 90 days · Recorded updates: 2

Updates to this site's reviewed record, not confirmation that the university changed its policy.

  1. Page update

    Other records · Page update

    View revision

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  2. Record addition · Site correction

    Coursework · Exams · 6 more topics · Records involved: 16 (10 corrected / adjusted · 6 added)

    View revision

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Reviewed claims

19

Official sources

6 official URLs; 9 source attributions and their captured versions retained.

King's guidance on generative AI: context and definitions

www.kcl.ac.uk

University official source

King's College London

Hash and captured version

King's guidance on generative AI: context and definitions · 2026-10-20T05:31:51Z

SHA-256 of the retained capture file bytes.

ca24453f069fb2243629bd6e43c2cb5aa57a2fef0ad4721d11d3ee57e6855bb1

Generative AI: context and definitions · 2026-05-10T12:00:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

e83b1023c70fd9113f0fafdecb9f0ee84991617be4a6e17182b9fdf753d682f0

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

King's guidance on generative AI: student guidance (last updated April 2025)

www.kcl.ac.uk

University official source

King's College London

Hash and captured version

King's guidance on generative AI: student guidance (last updated April 2025) · 2026-10-20T05:31:48Z

SHA-256 of the retained capture file bytes.

3eea2074456e43ca13d816549e2a0a4fbcac13261120addbddb656b949c4b6a4

Generative AI - Student guidance · 2026-05-10T12:00:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

de7e5bc7b74c4cb2793a5aa5fa10833903a495498accbd3da32eaac9e5f4cc23

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Academic Misconduct Policy (effective 1 September 2023; next review September 2026)

www.kcl.ac.uk

University official source

King's College London

Hash and captured version

Academic Misconduct Policy (effective 1 September 2023; next review September 2026) · 2026-10-20T05:32:50Z

SHA-256 of the retained capture file bytes.

d1df4e2341fad7ce1946ea3740e43ac5e5149ec5e96ba787c32689580679152c

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

King's guidance on generative AI: macro-level (last updated April 2025)

www.kcl.ac.uk

University official source

King's College London

Hash and captured version

King's guidance on generative AI: macro-level (last updated April 2025) · 2026-10-20T05:31:52Z

SHA-256 of the retained capture file bytes.

1e3ca992756b189957a27399a52e9201c612cbba5426b6ceb89b212e9bb41682

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Generative AI: guidance for doctoral students, supervisors and examiners (last updated April 2025)

www.kcl.ac.uk

University official source

King's College London

Hash and captured version

Generative AI: guidance for doctoral students, supervisors and examiners (last updated April 2025) · 2026-10-20T05:31:49Z

SHA-256 of the retained capture file bytes.

1b5648a579910bcd366eaec85b06b0205a5991befd431a0fb3a6ff761a940b3c

Generative AI: Guidance for doctoral students, supervisors and examiners · 2026-05-10T12:00:00Z

Representation unspecified in this historical record; do not assume an original-file hash.

7a1dd2b317bc654cd4834c6dcd738cf2b2f1334c0d29a89e641af8466c836601

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗

Guidance for AI-assisted marking and feedback (first published July 2025)

www.kcl.ac.uk

University official source

King's College London

Hash and captured version

Guidance for AI-assisted marking and feedback (first published July 2025) · 2026-10-20T05:31:50Z

SHA-256 of the retained capture file bytes.

900f04b8200eb1fd5fe7840cd58646356e7b8f064b7881c9b3173771694c27c5

Hashes identify a captured version; they do not establish current policy or review approval.

Official source ↗
Record information, JSON & citation

Review layers: claim review applies to the claims only. Analysis is a separate machine-generated summary awaiting review. Coverage scores do not establish complete policy knowledge.

Claim review state
agent_reviewed
Analysis review state
machine_candidate
Record revision
qs25-31-v6-r1-20261020
Dataset release
public-release-20260924-002
Correction published
Student snapshot
Not published
Current reviewed JSON · Historical baseline

Published V6 presentation; JSON and MCP retain the existing public record. Supplementary quotations and scope notes remain pending review. Local candidate corrections, tools and student summaries are not approved for publication. Institution-wide audit remains PARTIAL.

          Current reviewed JSON
          Questions students ask

          Questions students ask

          Can I use AI for my coursework?

          King's does not ban AI, but the level allowed is set per assessment using four suggested levels: Minimal (spell/grammar checkers, transcription), Limited/selective (delineated tasks), Open (no specific restrictions but key stages tracked) and Embedded (AI is part of the task). Copying AI output into a submission is not appropriate under the Academic Misconduct Policy, and work must remain the student's own; ask if unsure.

          View evidence →
          Do I need to disclose AI use?

          Students must acknowledge any generative AI use in coursework with a declaration statement alongside the references, unless the assessment brief gives other wording: either that no part was generated by AI (grammar and spell checking is consistent with this) or that parts have AI contributions within the brief's acceptable use, naming the tools and how they were used. AI is not cited as an authoritative source. Doctoral students choose one of two AI declarations on the RD2 form.

          View evidence →
          Can I upload sensitive data?

          Students should not input personal data, sensitive information or content created by others into any AI platform, even though King's Copilot has commercial data protection. Doctoral students must discuss confidentiality, copyright, data protection and ethics with their supervisors and get written approval before uploading any part of their research. Staff must not upload student work or details to AI tools without explicit permission.

          View evidence →
          Which tools can I access?

          All King's students and staff can use Microsoft Copilot text and image generation by signing in with their KCL Microsoft account; the Enterprise licence provides commercial data protection. King's does not describe Copilot as the only or required tool, and access does not authorise its use in a particular assessment.

          View evidence →
          What are the examination rules?

          No university-wide AI permission for examinations was found; the applicable level is set in each assessment brief. Copilot access does not authorise exam use.

          View evidence →
          What rules apply to research and publication?

          Doctoral students may use AI in an assistive role to clarify their own writing, including rewriting or paraphrasing parts of the thesis, but not to replace their authorship; AI in the research process itself (e.g. data analysis) falls under research design and ethics review. Uploading research material needs prior written supervisory approval, theses carry an RD2 AI declaration, and examiners must not upload theses to AI or use AI detectors.

          View evidence →
          What counts as academic misconduct?

          Inappropriate, unattributed AI use can be academic misconduct, but poor academic practice (e.g. incomplete citation) is not misconduct. Cases normally start with an informal Academic Integrity Meeting where students may be asked to explain their work but need not give specific answers. A Stage One penalty can be contested within 10 working days of written notification; a Misconduct Committee decision can be appealed within 10 working days on limited grounds. Outcomes range from warnings and capped resubmission to suspension or expulsion. King's has not enabled Turnitin's AI-detection percentage, though similarity checking continues.

          View evidence →
          What guidance applies to teaching?

          King's College London supports considered use of generative AI and is open to evolving teaching, assessment, and feedback practices according to need and disciplinary differences. Institutional guidance for AI-assisted marking and feedback (July 2025) emphasizes that reading and assessing student work should primarily be conducted by humans, with human oversight essential to ensure accuracy and appropriateness. Staff should not use GenAI tools to detect students' use of GenAI, as these tools are notoriously unreliable. Staff should never upload student work or include student details into any AI system or GenAI tool without explicit consent, permission, and forethought; approved or supported university GenAI tools should be used for AI-assisted feedback and marking. This guidance governs staff marking and data handling, and does not set course permissions for students.

          View evidence →
          What security and procurement requirements apply?

          Central IT security review protocols, enterprise vendor data protection assessments, and university-wide procurement guidelines for artificial intelligence platforms remain unverified in reviewed public records.

          View evidence →
          When was this record checked?

          Record checked:

          Record version →
          Which official sources support these rules?Official source →
          Where can I read the full evidence?

          19 · Full policy evidence

          Full policy evidence →