The framework

The 16 archetypes of Inclusive AI

Every result in the Do you use AI responsibly and inclusively? self-check resolves to a four-letter code and one of sixteen archetypes — from The Responsible Pioneer to The Blind Adopter . They sit where Awareness × Oversight meets Transparency × Inclusion.

Read your code

Your four letters describe how you show up across four dimensions. The first two place you on Awareness × Oversight; the last two on Transparency × Inclusion.

Awareness A Aware of risks · U Unaware

Oversight O Human-in-the-loop · B Blind trust

Openness T Transparent · S Secretive

Inclusion I Inclusive-by-design · X Careless/excluding

The map

Rows: Awareness × Oversight. Columns: Transparency × Inclusion. Your type is where they meet.

Open & inclusive

Open but careless

Inclusive but hidden

Quietly careless

Clued-up & in control

AOTI The Responsible Pioneer AOTX The Careful Communicator AOSI The Quiet Guardian AOSX The Diligent Sceptic

Cautious but uninformed

UOTI The Conscientious Newcomer UOTX The Honest Checker UOSI The Quiet Carer UOSX The Cautious Beginner

Knows the risks, trusts anyway

ABTI The Open Optimist ABTX The Trusting Enthusiast ABSI The Thoughtful Truster ABSX The Wary Adopter

Blind faith

UBTI The Warm Experimenter UBTX The Eager Adopter UBSI The Gentle Truster UBSX The Blind Adopter

All sixteen, in detail

AOTI

The Responsible Pioneer

Aware of the risks, keeps a human in the loop, open about using AI and designs for inclusion — uses these tools to widen the door, not narrow it, and shows others how.

Watch out for: Running ahead of the room — your fluency can leave colleagues feeling behind. Keep bringing people with you rather than setting a bar they can't yet reach.

This is responsible AI use as a steady habit. You know these tools can encode and scale bias, so you keep a human hand on the wheel, you're open about using them, and you design for the edges so they widen the door rather than narrow it. All four instincts pull the same way — you see the risk, check the output, say so plainly, and ask who's left out — so AI amplifies the good, not the harm. You've made it a tool, not an oracle. The only edge left is pace: keep bringing people alongside you, because the technology and its blind spots keep shifting.

AOTX

The Careful Communicator

Switched-on about AI's risks, sensibly checks its output and is open about using it — but doesn't yet ask hard questions about who it might exclude.

Watch out for: Mistaking caution for inclusion — checking that AI is accurate isn't the same as checking that it's fair. Bring the edges of the room into your review, not just the average.

Three of your four instincts are exactly where you'd want them. You're switched-on about where AI goes wrong, you keep a human in the loop rather than waving the output through, and you're open about using it. The single gap is inclusion: your review asks 'is this right?' but not yet 'who does this leave out?'. Accuracy and fairness aren't the same thing, and a tool can be technically correct while quietly shutting people out. The growth edge is to widen the question — bring the edges of the room into your checking, not just the average, so your care reaches the people most easily overlooked.

AOSI

The Quiet Guardian

Knows the risks, keeps firm human oversight and genuinely designs for inclusion — but keeps their careful AI use to themselves.

Watch out for: Letting good practice stay invisible — your thoughtfulness only spreads if people can see it. Naming how and why you use AI well is a gift to everyone watching.

You're the careful one who needs no audience. You know where AI can mislead, you keep firm human oversight rather than trusting it blindly, and you genuinely design for the people it might otherwise exclude. Your only reticence is volume: you'd rather quietly do it well than tell anyone you're doing it at all. Mostly that's modesty, and it's lovely. But thoughtfulness only spreads when it's visible, and others can't learn from working they never see. The growth edge is to let people in — name how and why you use AI well, so your good practice becomes a template colleagues can follow rather than a private discipline.

AOSX

The Diligent Sceptic

Alert to AI's flaws and rigorous about checking it, but quiet about using it and not yet thinking about who it leaves out.

Watch out for: Heads-down rigour that misses the wider picture — accuracy without inclusion or openness still narrows the door. Lift your gaze to who's affected, and say so out loud.

You're alert to AI's flaws and admirably rigorous about checking it — nobody could accuse you of blind trust. But two letters narrow that diligence: you keep your use of AI quiet, and you're not yet asking who the output leaves out, so all that careful checking stays heads-down and inward. Accuracy alone still narrows the door if it's never shared or tested for fairness. The growth edge is to lift your gaze on both fronts — ask who's affected, not just whether it's correct, and say plainly when you've used AI. Let your rigour serve the wider room, not only the task in front of you.

ABTI

The Open Optimist

Understands AI can be biased and is upfront and inclusion-minded — but tends to trust the output without enough of a second look.

Watch out for: Awareness that doesn't reach your hands — knowing AI can be wrong helps no one if you wave it through anyway. Let what you know change what you actually check.

You've got the head and the heart in the right place — you understand AI can be biased, you're refreshingly open about using it, and you genuinely care who it includes. What's missing sits between knowing and doing: you tend to trust the output without quite enough of a second look, so the awareness never reaches your hands. Knowing a tool can be wrong protects no one if you wave it through anyway. The growth edge is to close that gap — let what you already know change what you actually check before you hit send. One habit of real oversight, and your good instincts finally have teeth.

ABTX

The Trusting Enthusiast

Knows the theory and is happily open about using AI, but leans on it without much oversight and without weighing who it might exclude.

Watch out for: Enthusiasm outpacing care — your openness is lovely, but unchecked AI scaled with confidence is exactly how quiet harm spreads. Slow down and look before you share.

You know the theory and you're happily, openly enthusiastic about AI — that mix of understanding and honesty is appealing. But two letters work against you: you lean on the output without much oversight, and you haven't yet weighed who it might exclude, so confidence and reach run ahead of care. That's the recipe for quiet harm — an amplifier turned up before anyone's checked what it's amplifying. The growth edge is to slow the moment between generating and sharing. Look before you send, and add one question about who the output overlooks. Keep the warmth; just give it the brakes and the wider view it deserves.

ABSI

The Thoughtful Truster

Aware of the risks and quietly careful about who AI includes, but inclined to take its output on faith and keeps their use of it private.

Watch out for: Good instincts undermined by blind spots — your inclusion focus deserves the backing of real oversight and a bit of openness. Check the output, then let people see your working.

There's real conscience here — you're aware AI carries risk and you quietly try to make sure it includes people rather than shutting them out. That instinct to care for who's affected is the heart of doing this well. What undermines it is two habits: you take the output on faith more than you should, and you keep your use of AI private. Good intentions can't protect anyone if the tool slips an error past you unchecked. The growth edge is to back your instincts up — check before you trust, then let people see your working. Inclusion lands harder when it's both verified and visible.

ABSX

The Wary Adopter

Has a sense that AI carries risk, but uses it quietly, trusts it more than they should, and hasn't yet considered who it overlooks.

Watch out for: Knowing there's a risk but not acting on it — awareness on its own is just unease. Pick one habit — a quick check, a quiet question about fairness — and start there.

You have the first, hardest thing already — a genuine sense that AI carries risk. But it stops there: you use it quietly, you trust it more than you should, and you haven't yet thought about who it overlooks, so the awareness sits as unease rather than action. Knowing something can go wrong, without changing what you do, leaves you carrying the worry and none of the protection. The growth edge is to turn that one bit of awareness into one habit — a quick check before you trust the output, or a quiet question about who it might leave out. Start there, and let it build.

UOTI

The Conscientious Newcomer

Not yet clued-up on how AI goes wrong, but instinctively checks its work, is open about using it and cares about including people.

Watch out for: Good habits running on guesswork — your caution is brilliant, but you're not yet sure what to look for. Learn where bias hides so your checking catches more of it.

Your instincts are lovely — you check AI's work rather than trusting it, you're open about using it, and you genuinely care about including people. The one missing piece is awareness: you're not yet clued-up on how AI actually goes wrong, so your careful checking runs a little on guesswork. You're looking, but not always sure what you're looking for. The growth edge is knowledge — learn where bias hides, how these tools mislead, and who tends to pay the price. Pair that with the caution you already have, and your checking will start catching far more of what matters.

UOTX

The Honest Checker

New to the risks but sensibly cautious and refreshingly open — checks AI's output, though without a clear eye for who it might exclude.

Watch out for: Checking for the wrong things — accuracy is only part of it. Add 'who might this leave out?' to your review, and learn what bias actually looks like.

You're sensibly cautious and refreshingly open — you check AI's output rather than swallowing it whole, and you don't hide that you use it. What's missing sits either side of those habits: you're new to the risks, so you're not yet sure what you're checking for, and you haven't a clear eye yet for who the output might exclude. Accuracy is only part of the job. The growth edge is to widen your review — learn what bias actually looks like, and add the question 'who might this leave out?' to your checking. Your honesty makes you the kind of person who'll get good at this fast.

UOSI

The Quiet Carer

Not yet across the technical risks, but keeps a human in the loop and genuinely tries to include people — just keeps it all to themselves.

Watch out for: Caring quietly and learning slowly — your instincts are kind, but a little knowledge and a little openness would multiply their reach. Read up, then share what you learn.

Your heart is firmly in the right place — you keep a human in the loop rather than trusting AI blindly, and you genuinely try to include people. What holds it back is two things: you're not yet across the technical risks, so you work on kind instinct rather than knowledge, and you keep it all to yourself. Quiet, self-taught good practice grows slowly and reaches no one else. The growth edge is to feed and share those instincts — read up on how AI gets things wrong, then let people see how you handle it. A little knowledge and a little openness would multiply everything you already do well.

UOSX

The Cautious Beginner

Unsure how AI can fail but sensibly double-checks it, while keeping quiet about using it and not yet thinking about who it excludes.

Watch out for: Caution without direction — checking is good, but you're checking in the dark. Start with the basics of how AI gets things wrong, and who tends to pay for it.

Your instinct to double-check AI rather than trust it is genuinely good — keeping a human in the loop will serve you well. But it's currently the only one of the four working in your favour: you're unsure how AI fails, you keep quiet about using it, and you haven't thought about who it excludes. So you're checking in the dark, careful but without direction. The growth edge is to give that caution something to aim at — start with the basics of how AI gets things wrong and who pays for it. Once you know what you're looking for, your good instinct to check will finally land where it counts.

UBTI

The Warm Experimenter

New to the risks and inclined to trust the output, but open about using AI and warm-hearted about including people.

Watch out for: Good heart, light touch on the brakes — your openness and care are real, but trusting AI you don't yet understand is risky. Learn how it fails, and start checking.

You bring warmth to this — you're open about using AI and genuinely warm-hearted about including people. But two letters leave you exposed: you're new to the risks, and you tend to trust whatever the tool produces, so you're leaning on something you don't yet understand. A warm heart can't catch a quiet error, and an amplifier you don't watch can scale harm as easily as good. The growth edge is a lighter touch on trust and a firmer one on the brakes — learn how AI fails, and start checking its work before you act on it. Your good intentions deserve safeguards strong enough to protect them.

UBTX

The Eager Adopter

Keen and open about using AI, but takes it largely on trust and hasn't yet thought hard about bias or who gets left out.

Watch out for: All gas, no map — your enthusiasm is great, but speed without awareness scales mistakes fast. Pair the keenness with one habit of checking and one question about fairness.

You're keen and refreshingly open about using AI — that energy and honesty are a good starting point, far better than quiet avoidance. But three letters tell the fuller story: you take the output largely on trust, you're new to the risks, and you haven't yet thought hard about who gets left out. So it's all gas and no map, and an amplifier running at speed scales mistakes as fast as wins. The growth edge is to add steering to the enthusiasm — keep one habit of checking before you trust, and ask one question about who the output might exclude. Same keenness, just pointed somewhere safe and fair.

UBSI

The Gentle Truster

Not yet aware of the risks and quietly trusting of AI, but with a genuine, private instinct to include people.

Watch out for: Kindness without the safeguards — your inclusive instinct is lovely, but it can't protect anyone if you trust AI blindly and keep it hidden. Learn the risks, then check and share.

There's a real, quiet kindness in you — a genuine instinct to include people, even if you keep it to yourself. That decency is the seed of everything good here. But it's surrounded by gaps: you're not yet aware of the risks, you trust AI without much question, and you keep your use of it private. Kindness alone can't safeguard anyone if a biased output slips through unchecked. The growth edge is to give that instinct some armour — learn how AI gets things wrong, check before you trust, and let your inclusive practice become visible. Your heart's in the right place; now build the habits that let it protect people.

UBSX

The Blind Adopter

New to the risks, trusting of whatever AI produces, quiet about using it and not yet asking who it might exclude — the most stuck corner, but every bit of it is movable.

Watch out for: Believing this isn't your problem to think about — it is, and you don't have to overhaul everything at once. Start with one thing: learn how AI gets things wrong, and let that change one habit.

This is the most stuck corner of all four axes — new to the risks, trusting whatever AI produces, quiet about using it, and not yet asking who it might exclude. Said without a shred of shame: it's simply where the journey hasn't started yet, and every bit of it is movable. Almost nobody begins as a responsible, inclusive AI user; most start about here. The work isn't to overhaul everything overnight — that pressure is what keeps people frozen. It's one quiet shift: learn how AI gets things wrong, and let that awareness change a single habit. AI amplifies good or harm; you choose which, one small step at a time.

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