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PARTLY

As of 13 August 2026, AI can only partly rank candidates for a job.

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

Can you do it?

15 minutesto a draft.

1 hourto something you’d act on.

Cost, all in£0

Skill neededpower-user

Who has to check ita colleague

What the alternative costsManatal is a purpose-built recruitment system that provides candidate scoring, enrichment and pipeline automation.

If this goes wrong: a suitable person is screened out or a protected group is disadvantaged, and the employer has to defend the process and its records.

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, power-user skill, and roughly 1 hour until you can act on the result.

    How to actually do it

    1. Open the job description and write a short list of essential and desirable criteria that relate directly to the work.
    2. Create a consistent scoring scale for each criterion, including what counts as no evidence, partial evidence and strong evidence.
    3. Gather the same types of application material for every candidate and remove unnecessary personal data before using an AI tool.
    4. Paste the prompt into the chatbot, replace the bracketed sections with the job criteria and anonymised candidate evidence, and ask it to produce the scoring table and provisional order.
    5. Copy the table into a recruitment record and compare every score with the cited CV or application evidence, correcting unsupported scores and recording missing evidence.
    6. Ask an HR colleague to check the criteria, weighting, anonymisation and treatment of employment gaps or reasonable adjustments for consistency and potential discrimination.
    7. Use the checked ranking only as one input to a human-led shortlist and record the reasons for the final decision separately from the AI output.

    Prompt

    Act as a recruitment analyst, not the hiring decision-maker. Rank the candidates below against the job criteria using only evidence in the supplied material. Do not infer or use age, sex, gender identity, race, ethnicity, nationality, religion, disability, health, pregnancy, caring responsibilities, sexual orientation, marital status, or any other protected or irrelevant personal characteristic. Do not treat name, address, school, accent, employment gaps or writing style as evidence of ability unless the job criteria explicitly and lawfully require it. First create a scoring table with one row per candidate and one column per criterion. For each score, quote or paraphrase the supporting evidence and mark missing evidence as missing rather than guessing. Then give a provisional order, explain any ties or uncertainty, list candidates who need the same follow-up question, and identify criteria that may be vague, inconsistent or difficult to justify. Do not recommend rejection, make a final hiring decision, or claim that the ranking is legally fair. State that a human must review the criteria, evidence, adjustments and final decision.
    
    Job title: [JOB TITLE]
    Essential criteria: [ESSENTIAL CRITERIA]
    Desirable criteria: [DESIRABLE CRITERIA]
    Scoring scale: [SCORING SCALE]
    Candidates and evidence:
    [CANDIDATE MATERIAL]
    
    Use the same criteria and scoring scale for every candidate. Keep the output suitable for an auditable recruitment record and flag any information that should not have been included.

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

What it gets wrong

  • AI cannot decide whether the selection criteria are necessary, proportionate and defensible for the role.
  • AI cannot reliably recognise indirect discrimination or understand the effect of a reasonable adjustment from incomplete records.
  • AI cannot test whether candidates had an equal opportunity to provide comparable evidence.
  • AI cannot carry responsibility for rejecting a candidate or defend the employer's process.
  • AI cannot replace a structured human assessment of ambiguity, motivation, references or interview performance.

What caps this at PARTLY: legal accountability, judgement under ambiguity and consent and privacy.

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
Inputs1
Verification1
Liability0
Effort delta1
Total5 / 10

FAQ

Can ChatGPT rank job candidates?
Yes, it can produce a provisional ranking from anonymised CVs, applications and explicit scoring criteria. It must not make the final hiring decision, and a human must check the evidence, fairness and record before using the ranking.
Is it legal to use AI to rank candidates in the UK?
Using AI in recruitment does not remove your duties under UK employment and data protection law. The employer remains accountable for the criteria, data handling and outcome, so get advice from an employment solicitor or qualified HR professional for a serious case.
Can AI choose the best candidate for a job?
No, not safely as a final decision. It can organise evidence against agreed criteria, but it cannot own the judgement about ambiguity, reasonable adjustments, fairness or the consequences of rejecting someone.
Should I upload CVs to an AI tool?
Only after checking your lawful basis, internal policy, supplier terms, retention settings and access controls, and removing information that is not needed for the comparison. Do not upload confidential candidate data to a tool without proper approval, and seek advice from an employment solicitor or data protection professional in a serious case.

Nearby answers

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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