AI Use Disclosure
1. Why this Disclosure Exists
Mirame Australia Pty Ltd (ABN 97 696 515 616) believes users should know when and how automated systems influence the service they receive. This Disclosure explains exactly what "AI" means in Mirame, what the algorithm does, what it does not do, and what you can do about it.
We publish this Disclosure in line with:
- Australian Consumer Law s18 (misleading or deceptive conduct) — we must not mislead you about what our product is or how it works;
- The Australian Government's AI Ethics Principles (2019, voluntary) — transparency and explainability;
- The Department of Industry's Voluntary AI Safety Standard (Sep 2024) — ten voluntary guardrails for responsible AI;
- Emerging "high-risk AI" guidance — while Mirame does not fall into any high-risk category currently under consideration (employment, credit, health, law enforcement, critical infrastructure), we apply transparency and human-review principles by design.
2. What the Algorithm Does
Mirame's colour season assignment is produced by a deterministic, rule-based scoring algorithm. In plain English:
- You answer a short quiz about your natural colouring.
- Each answer is scored against three dimensions of the 12-season colour framework (warm/cool, light/deep, soft/bright / muted/clear).
- The scores are combined using fixed weights to produce one of twelve colour seasons.
- The same answers will always produce the same season — the algorithm is not adaptive and does not learn from your inputs.
Technically this is a rule-based algorithm (sometimes called "classical AI" or "symbolic AI"). It is not generative AI. It is not a large language model. It is not machine learning in the sense of a neural network trained on data.
We disclose it as "AI" because users commonly refer to any automated decision as "AI", and because ACL s18 requires us to describe the product accurately rather than rely on a narrow technical distinction.
3. What the Algorithm Does Not Do
- It does not analyse photographs of you. The quiz uses descriptive answers only.
- It does not use your data to train any model. Your quiz answers are not sent to any AI training pipeline.
- It does not generate personalised text for your reading. The palette, wardrobe guidance, retailer matches, and copy that appear in your paid reading are hand-curated content written by humans and locked to each of the twelve seasons ahead of time.
- It does not make decisions about your access, eligibility, or price.
- It does not provide medical, therapeutic, legal, financial, or professional advice.
- It is not a substitute for a trained human colour analyst or stylist working with you in person.
4. What This Means for You
4.1 Right to explanation
You can ask us at any time to explain, in plain English, why the algorithm assigned you the season it did. We will walk you through which of your answers pushed the score toward that season.
4.2 Right to human review
If you believe the algorithm has given you the wrong season, you can request a human review before or in addition to requesting a refund. To request a review, email hello@mirame.au with:
- Your order reference or quiz email;
- Your current assigned season;
- A short description of why you believe it's wrong (feel free to include a selfie in natural light if you wish — see 4.3 before you do).
A human reviewer will re-check your answers, offer a second opinion, and — if warranted — adjust your assigned season and reissue the paid reading content at no cost.
Response window: 14 days.
4.3 Right not to submit sensitive data
Human review is entirely optional. You are not required to send a photograph of yourself. If you do voluntarily submit a selfie, we will use it only for the review, we will not store it beyond the time needed to resolve the review, and we will not use it for any other purpose. See the Privacy Policy for more detail.
4.4 Right to human contact
If you'd rather speak with a person than use the automated quiz at all, we're a small team — email hello@mirame.au and we'll help.
5. Limits of the Service
Mirame is guidance, not prescription. In particular:
- Not medical. Colour analysis has no clinical or therapeutic validity. It will not diagnose, treat, prevent, or cure any condition.
- Not therapeutic. Colour analysis is not psychotherapy, counselling, or mental-health support.
- Not professional in-person analysis. Trained colour analysts using physical drapes in natural light will always have richer information than a remote quiz. We recommend in-person analysis for anyone wanting a definitive, high-stakes reading (e.g. uniform colour selection for a business).
- Not guaranteed outcomes. We do not guarantee that following Mirame's guidance will produce any specific aesthetic, social, or commercial outcome.
6. Governance and Oversight
The algorithm, scoring weights, content, and retailer matches are reviewed and approved by Mirame's product team before release. Changes to the algorithm or content are version-controlled and logged. If you have questions about the methodology, see the Methodology Acknowledgement page or contact us.
The Service is subject to regular security review under the ACSC Essential Eight and OWASP frameworks by our security function (Sentinel), including specific review of AI/ML components per the OWASP Top 10 for Large Language Model Applications guidance where it becomes relevant (e.g. if generative AI is added to the Service in the future). A new version of this Disclosure will accompany any such addition.
7. Changes to this Disclosure
If we materially change what AI does in Mirame — for example, if we add a generative element, integrate a large language model, or move to adaptive personalisation — we will update this Disclosure, publish a changelog, and notify active paid reading users by email before the change goes live.
8. Contact
- Human review requests: hello@mirame.au
- Explanation / questions: hello@mirame.au
- Interim (while email is in setup): brendan@mirame.au
This is compliance tooling, not legal advice. Blake's lawyer finalises before launch. Sentinel to review AI-specific language for alignment with the Voluntary AI Safety Standard and OWASP Top 10 for LLM Applications (where future versions introduce generative components).