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YES

As of 13 August 2026, AI can choose a dissertation question.

This still needs a person who signs their name to it.

Can you do it?

5 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0

Skill needednone

Who has to check ityou

What the alternative costsThe supplied tools data does not give a price for a human dissertation supervisor or academic writing service.

If this goes wrong: you spend weeks researching a question that is too broad, poorly supported or unsuitable for your department.

What to actually do

  1. Hand it to a person

    The route this page recommends

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  2. Use a tool built for this

    Second choice

  3. Do it yourself

    The distant third

    A chat interface, no skill needed, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open your dissertation module brief, handbook and marking criteria, then copy the sections covering the subject area, learning outcomes, word count, methods, ethics and approval requirements.
    2. Write down your interests, relevant modules, skills, access to data or participants, available equipment, deadline and any topics or methods you cannot use.
    3. Collect the titles, abstracts or links for a few genuine sources you already have, and paste their details into the prompt without asking the model to fill missing information.
    4. Paste the prompt and your gathered information into ChatGPT, Claude or Gemini, then save the six suggested questions and their stated assumptions.
    5. Search your university library catalogue and relevant scholarly databases for the two recommended questions, checking whether each has recent literature, a manageable evidence base and a clear unresolved issue.
    6. Compare each recommendation against the copied module requirements and your actual time, access, ethics and method constraints, correcting any claim that the model made without evidence.
    7. Send the two checked questions and the evidence you found to your supervisor, asking which has the best scope and whether the wording needs approval or refinement.

    Prompt

    Help me choose a dissertation question, not write my dissertation. My subject and course level are: [subject and level]. The broad areas I am interested in are: [interests]. The assignment brief and any departmental requirements are: [paste them here]. The methods, data, equipment, access and ethical limits available to me are: [describe them]. My deadline and word count are: [details]. Sources or authors I have already found are: [paste details, or say none].

Generate six possible dissertation questions. Make each question specific enough for the stated word count and deadline, but not so narrow that it becomes trivial. For each one, give the likely topic, central relationship or argument, suitable method, required evidence, main feasibility risk and what I would need to check in the literature. Do not invent sources, research findings, university rules or claims of originality. Mark any assumption clearly. Then rank the six questions against fit with my brief, feasibility, access to evidence, scope and potential for a meaningful contribution. Recommend the strongest two, explain the trade-off between them, and give me five precise checks to complete before taking either question to my supervisor. Do not present the final choice as settled without those checks.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI cannot know your department's unwritten preferences, supervisor availability or tolerance for a particular method unless you provide that context.
  • It cannot establish that a question is genuinely original from a plausible-sounding answer or an incomplete search.
  • It cannot judge whether you will sustain interest in the topic through months of reading and analysis.
  • It cannot secure access to participants, restricted data, equipment or ethical approval.
  • It can make a broad question sound precise while overlooking a hidden problem with definitions, evidence or scope.

Even on a YES, the friction has a name: judgement under ambiguity, context depth and verification cost.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs2
Verification1
Liability2
Effort delta2
Total9 / 10

The methodology and its thresholds are published in full.

FAQ

Can ChatGPT help me choose a dissertation topic?
Yes. It can turn your interests and course requirements into a shortlist, expose scope problems and compare possible methods. You still need to check the literature and take the best options to your supervisor.
Can AI come up with a good dissertation question?
It can generate plausible questions quickly, but plausibility is not the same as originality or feasibility. Give it your brief and constraints, then check every promising question against real scholarly sources and your department's requirements.
Is it cheating to use AI to choose a dissertation question?
That depends on your university's academic integrity and AI-use rules. Using it for brainstorming may be permitted, but you should keep a record of how you used it and ask your supervisor or course team if the policy is unclear.
How do I know if my dissertation question is good?
Check that it fits the brief, can be answered with evidence you can actually access, is narrow enough for the deadline and has a defensible reason for being worth studying. A supervisor should confirm the final wording because literature gaps and departmental expectations are not reliably established by a chatbot.

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Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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