Ethical AI in research

Use AI to support research work—not to conceal its absence.

Generative AI can support thinking and workflow, but it does not assume responsibility for truth, originality, confidentiality or institutional rules.

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The governing principle

Use AI to improve your ability to perform research—not to conceal that you did not perform it. Verify and defend every material claim, source, calculation and decision.

Practical test: Could you accurately explain how the section was produced, identify what was checked and defend the final reasoning without concealment?

Lower- and higher-risk uses

Generally lower-risk

  • Generating questions to test an argument.
  • Developing search-term variants that are independently tested.
  • Obtaining an introductory explanation before consulting authoritative sources.
  • Checking clarity while preserving the researcher’s reasoning and voice.

Higher-risk

  • Submitting generated literature, analysis or interpretation without verification.
  • Using invented or unverified citations.
  • Uploading confidential or identifiable data without authority.
  • Delegating decisions the researcher is expected to defend.
  • Using AI where institutional instructions prohibit it.

A verification workflow

  1. Confirm permission

    Identify what the institution, supervisor, assessment and intended journal permit.

  2. Protect information

    Remove personal, confidential, unpublished and proprietary data unless authorised safeguards exist.

  3. Treat output as unverified

    Locate original sources and check every material factual or methodological statement.

  4. Reconstruct the reasoning

    Ensure the researcher understands, edits and can defend the final decision.

  5. Disclose where required

    Record the tool, purpose and extent of use in the form required by the institution or publisher.

Institutional policy controls

Policies differ across universities, programmes, supervisors and journals. Confirm the applicable rule before using AI on assessed or publishable work. When rules conflict, apply the more specific instruction governing the submission.

Keep the researcher in control of every material decision.

The free audit provides initial direction. The Research Diagnostic can review integrity, evidence and process risks in your actual workflow.

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