PARTLY

As of 13 August 2026, AI can only partly create an equality and diversity training course.

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 neededchat-fluent

Who has to check ita colleague

What the alternative costsThe supplied tool data gives no price for a human course designer or an alternative training service.

If this goes wrong: staff receive legally inaccurate or stereotyping material and your organisation has to correct the training, manage complaints and deal with the consequences.

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, chat-fluent skill, and roughly 1 hour until you can act on the result.

    How to actually do it

    1. Open your current equality, diversity, inclusion, dignity-at-work, bullying and harassment policies, and copy the relevant text into a working document after removing names and identifying details.
    2. Gather the audience, job roles, delivery format, available time, accessibility needs and the workplace behaviours the course must address.
    3. Open GOV.UK and collect the current official sources relevant to the course, then paste their titles and links into the prompt rather than asking the model to rely on memory.
    4. Paste the organisation details, anonymised policy extracts, source links and course requirements into the prompt and ask the chatbot to create the full course draft.
    5. Compare every legal or factual statement in the draft with its cited GOV.UK source and delete claims that cannot be supported.
    6. Ask your HR lead to test the scenarios, disclosures guidance, policy alignment and accessibility against your organisation's actual procedures.
    7. Ask an employment solicitor to check any material that explains legal duties, protected characteristics, harassment, discrimination, complaints or disciplinary consequences before delivery.
    8. Pilot the course with a small representative group, record specific problems, revise the draft and send the final version through your normal organisational approval process.

    Prompt

    Create a complete equality and diversity training course for a UK workplace.
    
    Audience: [job roles, seniority and prior knowledge]
    Organisation and sector: [brief description]
    Course format: [for example, live workshop, self-paced module or blended course]
    Length: [available time]
    Objectives: [what learners should understand or do afterwards]
    Relevant workplace policies: [paste the current policies or summarise them]
    Known concerns or incidents to address: [paste only anonymised information]
    Tone and accessibility requirements: [details]
    
    Produce:
    - a course overview and intended audience
    - measurable learning objectives
    - a timed agenda
    - module content in plain UK English
    - inclusive workplace scenarios that do not stereotype or identify real people
    - discussion questions with facilitator guidance
    - knowledge checks with answers and explanations
    - an assessment or completion activity
    - facilitator notes and prompts for handling disagreement or disclosures
    - an accessibility checklist
    - a source list for every legal or factual claim
    - a separate list of points that require review by our HR lead or an employment solicitor
    
    Use only information supported by the policies and sources provided. Do not invent statistics, legal duties, case law, incidents or organisational facts. Distinguish equality law from good practice, flag uncertainty, and do not present legal conclusions without a source. Design the course to avoid asking learners to disclose protected characteristics or personal experiences. State where the organisation must make its own policy decision. The output is a draft for human approval, not professional advice. Use the date 2026-08-13 when identifying the currency of sources.

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

What it gets wrong

What caps this at PARTLY: legal accountability, judgement under ambiguity and stakes of error.

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
Liability1
Effort delta2
Total7 / 10

FAQ

Can AI create an equality and diversity training course?
Partly. AI can create the structure, wording, activities and assessment, but your organisation must provide the context and have HR check the content before use. Legal and sensitive material needs review by an employment solicitor where the consequences are serious.
Can I use ChatGPT to write equality and diversity training?
Yes, for a first draft of the course materials, provided you use anonymised information and supply reliable UK sources. It is not professional advice, and a colleague with HR responsibility must check the draft before it is delivered.
What should equality and diversity training include?
It should set clear learning objectives, explain relevant workplace standards, use realistic non-stereotyping scenarios, provide accessible activities and show learners what to do when they see or experience a problem. It should also match your current policies and explain how disclosures and complaints are handled.
Does equality and diversity training need legal review?
Not every introductory exercise needs a solicitor, but claims about legal duties, discrimination, harassment, complaints or disciplinary action should be checked by HR and, where the risk is serious, an employment solicitor. Your organisation remains accountable for what the course says and how it is used.

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.

The newsletter

AI news, new answers and product picks, straight to your inbox.