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    3. inyourroots® Fairness, Inclusion & AI Statement

    inyourroots® Fairness, Inclusion & AI Statement

    What this policy covers: How inyourroots® decides your matches, what we deliberately keep out of them, where Budi uses AI and its honest limits, what we have not proven yet, and how to challenge anything you think we have got wrong.

    Last updated: 9 October 2026

    Version: 2

    Next review: 10 March 2027

    Quick summary

    • No AI model decides your matches — they are calculated with fixed arithmetic, so the same answers always give the same result.
    • 13 attributes (including age, location, disability and accessibility needs) are blocked from matching; only 12 work-preference signals are allowed in.
    • Budi’s conversation runs on Google Gemini 2.5 Flash and can be wrong — check anything important; a Budi result is never a decision about what you are allowed to do.
    • We have never used anyone’s conversations to train an AI model, and will not without a separate assessment, clear notice and explicit opt-in.
    • We distinguish what is built, what is intended and what we can prove — several fairness checks and controls are not yet verified in live use.
    • If you think we have got it wrong, tell us at support@inyourroots.com; you can also complain to the ICO.

    1) What decides your matches — and what does not

    We built inyourroots® because too many young people get told what they cannot do before anyone asks what they are good at. A tool built to fix that can just as easily repeat it. This page explains how we try not to and where we know we have not got there yet.

    No AI model decides your matches.

    Your strengths, industries and roles are worked out using arithmetic. Your answers are looked up in fixed tables of weights, added together and sorted. There is no machine learning in that calculation, nothing that learns from other users and nothing that drifts. Given the same answers, underlying data and version of our scoring, you get the same result.

    Budi reads the results. Budi does not produce them. Budi can explain a match, help you explore it, hide something you are not interested in or trigger a recalculation. Budi does not calculate the score.

    Your matches are intended to support exploration. No employer sees your internal score, and a Budi result does not decide whether an employer hires you.

    Our automated-decision-making position: we are assessing whether automated ranking and the three-picks selection system fall within the current UK GDPR automated-decision provisions (Articles 22A–22D), including whether they have a legal or similarly significant effect on access to opportunities. We are seeking appropriate data-protection advice and have not recorded that assessment as complete. We are treating potential applicability as a risk to assess, not claiming that “contract necessity” has been established as a precautionary lawful basis. The Article 6 basis for processing must be justified separately; your permission to share a profile with an employer is also a separate step. We will update this statement when the assessment is concluded. In the meantime, you can ask for human review, express your point of view or contest a result — see “Questioning your results” below. Implementation of the applicable transparency and review safeguards remains a DPIA workstream.

    2) What we keep out of your matches

    Some things about you should have nothing to do with the work you are shown. We maintain a formal classification of the profile information held by the service and whether it is permitted for matching.

    Blocked from matching — 13 attributes, including:

    • Your age range
    • Where you live
    • Your pronouns
    • Whether you have told us you have a disability
    • Your accessibility notes
    • What support helps you work at your best
    • Your work situation and the kinds of experience you have had

    Allowed into matching — 12 attributes, all about how you like to work. These include your superpower, what excites you, whether you prefer improving or creating, whether you are drawn to individuals or systems, the problems you like, your appetite for technology, and the subjects and industries you are curious about.

    The privacy gateway is designed to read that classification, use only permitted information and record blocked attributes by name. Its coverage across all live calculation routes and its audit behaviour remain to be confirmed. That is a design control rather than a guarantee about outcomes — section 5 explains the difference and what we still cannot show.

    3) Where Budi uses more information — and why we are telling you

    The matching calculation is one thing. A conversation is another, and we would rather be clear about the difference.

    Budi may be given your name, age range and general area so the conversation can feel relevant and mention things near you.

    If you tell us that something makes a type of work difficult, Budi may take that into account in conversation. For example, if you describe a mobility barrier, Budi may discuss related roles involving coordination, planning, analysis or communication rather than repeatedly leading with frontline physical roles. Budi is instructed not to make disability the headline or assume a limit you have not described.

    That means disability or accessibility information may shape the order and framing of a conversation. It does not enter the arithmetic described in section 1, it is not automatically shared with an employer, and it does not remove a role from your results.

    If you would rather Budi did not use that information conversationally, tell Budi or leave that part of your profile empty. This does not remove your access to the rest of the service.

    4) Talking to Budi — the honest limits

    Budi currently runs on Google Gemini 2.5 Flash through Google Cloud Vertex AI.

    • Budi can be wrong, including confidently wrong. Check anything important and talk it through with someone you trust before making a significant decision.
    • General-purpose AI models reflect biases in their training material. We can reduce and monitor those effects, but we cannot promise to remove them completely.
    • Safety filters are enabled. Harassment, hate speech, sexually explicit content and dangerous content are filtered using Google’s configured medium-and-above safety threshold.
    • Budi uses inyourroots® data and tools. When Budi discusses a stored strength, role or progress result, the service is designed to retrieve it from our maintained data rather than rely only on the model’s memory.

    This conversational part of Budi has fewer guarantees than the deterministic matching calculation. We think it matters to say that plainly rather than let the word “AI” cover both.

    5) What we have not done yet

    We cannot yet show how results differ between groups. We can explain how the system is designed. We cannot yet produce evidence that it operates fairly across different groups because we have not completed that analysis. Before collecting any equality information for outcome monitoring, we will assess whether it is necessary and proportionate and seek appropriate data-protection advice.

    Our strengths map was written by people. The links between strengths, industries and roles reflect human judgement. Consistency is not the same as fairness: a map can apply the same assumption to everyone and still contain a poor assumption. We have not yet completed and recorded a formal fairness review of that mapping.

    Allowed signals may still act as proxies for blocked information. Removing postcode from matching does not remove every effect of background if permitted answers correlate with it. We have not fully solved that risk.

    Audit verification remains outstanding. The service is designed to record the information used, attributes withheld, scoring version and time. Current audit entries and coverage across calculation routes need verification; we do not infer the present production state from an earlier testing snapshot.

    6) Questioning your results

    Your match suggestions are a starting point, not a verdict.

    If you think your suggestions do not reflect you — because something feels off, a result seems unlikely or you want to understand why a particular industry or role came up — you can ask us to take a look.

    Email support@inyourroots.com and tell us:

    • What you were expecting or hoping to see
    • What came up that surprised you or felt wrong
    • Anything about how you answered that you think might have affected it

    You do not need to disclose health information or another sensitive detail to ask for a review.

    We will review your results manually, explain how they were produced and, where appropriate, help you adjust your answers or flag a problem with the underlying data. We will consider your point of view and whether the result or underlying process needs correction; review is not simply a restatement of the automated output.

    The acknowledgement and response aims in section 13 apply. Where your request exercises a statutory data-protection right, the applicable legal deadline also applies; our internal aims do not replace it.

    7) Your conversations and AI training

    We have never used anyone’s conversations to train or fine-tune an AI model. No training export has been run.

    The technical ability currently exists. The system contains a filtered conversation view and an admin-only export function created for a possible future in which we might train our own model.

    Our position for the pilot: we will not use identifiable conversations, recordings, reflections or uploads to train or fine-tune a model. If this position ever changes, it will require a separate assessment, a clear notice and an appropriate explicit opt-in. It will not happen quietly.

    We are reviewing whether to remove the unused export function and view entirely.

    8) Steering you somewhere you did not ask about

    Sometimes an industry you are drawn to may have very few current openings near you. Budi may say so and suggest a related path with more activity.

    Our design intention is to make that visible whenever it happens, so you can see that you are being pointed sideways and understand why. Until that labelling is verified across the live product, treat it as an intention rather than a guarantee. You can ignore the suggestion. Current vacancy numbers describe the market now, not the limit of your future.

    9) Different ways of working

    We are building Budi so that people can understand what an activity requires before starting, including reading, typing, timing, camera and microphone expectations.

    Our intended standards are:

    • Camera use is optional, with audio treated equally.
    • Choosing not to show your face does not lower a match score.
    • Timed practice counts up as guidance rather than cutting someone off.
    • Retakes are unlimited and are not presented as a score or failure count.
    • People can pause and return unless there is a genuine reason an activity must be completed in one sitting.

    These standards are being checked against the production experience. We will not describe an individual behaviour as live until it has been verified.

    10) If you are neurodivergent

    An optional part of the journey may ask about focus, sensory needs, how you process information and what helps you work at your best.

    • It is optional and can be skipped.
    • Skipping does not restrict access to the rest of Budi.
    • The answers are blocked from the arithmetic that generates matches.
    • They are not automatically included in anything an employer sees.
    • Because the answers may reveal disability or health information, we treat them as special category data and will use an appropriate separate consent process before this feature is live.
    • Where consent applies, you can withdraw it by emailing support@inyourroots.com.

    The final consent wording, Article 9 condition and deletion process will be aligned with our Privacy Policy before this feature is launched.

    11) Employers

    Employers see only information you have chosen to share through the controls available to you. They do not see internal match scores and must not use inyourroots® as an automated filter on people.

    We have considered internal concepts such as filtering people by whether a named strength appears in their highest-ranked results. That type of exclusionary filter will not launch unless its purpose, lawful basis, equality impact, human oversight, user explanation and challenge route have been assessed. We are also considering inclusive, user-controlled evidence views instead.

    12) Accessibility

    We aim to meet WCAG 2.2 Level AA. Where we fall short, we want to know.

    If you need information or support in a different format — such as larger text, simpler wording or another way to access something — please email support@inyourroots.com and we will do what we reasonably can. See our Accessibility Statement for more detail.

    13) If you think we have got it wrong

    Tell us at support@inyourroots.com.

    We aim to:

    1. Log the report within 1 working day.
    2. Acknowledge it and assign someone within 2 working days.
    3. Explain what we found and what we did within 10 working days.

    If an investigation needs longer, we will explain why and provide an updated timeframe.

    You can also complain to the Information Commissioner’s Office at ico.org.uk.

    14) What we commit to

    1. We use permitted strengths and work-preference signals — not personal background attributes — to calculate matches.
    2. We distinguish between what is built, what is intended and what we can prove.
    3. We will publish meaningful fairness-review findings once we have evidence to report, including identified problems and actions.
    4. We will not use your conversations to train AI without an appropriate assessment, clear notice and explicit opt-in.
    5. We aim to fix problems faster than we defend them.

    Version history

    VersionDateSummary
    29 October 2026Added human review and challenge route (“Questioning your results”); clarified the current Articles 22A–22D position pending assessment and advice, without asserting contract necessity; retained the shorter March 2027 review cycle.

    Questions or concerns?

    If anything here feels unclear, tell us. We'll help.

    Contact us about this policy →

    On this page

    • 1) What decides your matches — and what does not
    • 2) What we keep out of your matches
    • 3) Where Budi uses more information — and why we are telling you
    • 4) Talking to Budi — the honest limits
    • 5) What we have not done yet
    • 6) Questioning your results
    • 7) Your conversations and AI training
    • 8) Steering you somewhere you did not ask about
    • 9) Different ways of working
    • 10) If you are neurodivergent
    • 11) Employers
    • 12) Accessibility
    • 13) If you think we have got it wrong
    • 14) What we commit to
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