The policy references a separate AI Terms Addendum that governs the collection and use of data in connection with Miro's AI features, indicating that AI-related processing is subject to additional terms beyond the base privacy policy.
This analysis describes what Miro's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The existence of a separate AI Terms Addendum means that users of Miro's AI features are subject to additional data processing terms that must be reviewed in conjunction with the privacy policy to assess the full scope of AI-related data handling.
Interpretive note: The specific AI data handling provisions are contained in a separate Addendum not fully available in this document; the scope and terms of AI data processing cannot be confirmed from the privacy policy text alone.
AI Features severity decreased from high to medium, and provision was renamed from 'AI Features Data Processing' to 'AI Features Data Handling' with potential scope clarification.
View full change record →Under this structure, users who enable or use AI features within Miro are subject to both the privacy policy and the AI Terms Addendum, and should review both documents to understand how their data and board content may be used for AI model training or improvement purposes.
How other platforms handle this
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If you are located in the European Economic Area, Switzerland, or the United Kingdom, you have the right to access, correct, or erase your personal data; the right to restrict or object to our processing of your personal data; the right to data portability; and, where our processing is based on your...
We use information to enhance the quality, reliability, and/or accuracy of our AI Features by creating, developing, training, testing, improving, and maintaining AI and ML models run by Strava or our service providers. We use aggregated, de-identified data for this purpose. We also use personal info...
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1) REGULATORY LANDSCAPE: AI-related data processing in the EU engages the EU AI Act (phased enforcement beginning 2024-2026), GDPR requirements for automated decision-making (Article 22), and emerging guidance from EU data protection authorities on AI training data. The FTC has also issued guidance on AI and consumer data practices applicable to US users. 2) GOVERNANCE EXPOSURE: Medium to High. The use of a separate addendum for AI features creates a fragmented compliance structure where the full scope of AI-related data processing is not contained in a single document. Enterprise customers using AI features should review the AI Terms Addendum specifically to assess whether board content is used for model training. 3) JURISDICTION FLAGS: EU/EEA organizations should assess AI feature data handling against EU AI Act requirements and GDPR Article 22. Organizations in regulated industries (healthcare, financial services) should assess whether AI processing of board content creates sector-specific compliance obligations. 4) VENDOR IMPLICATIONS: Enterprise procurement teams should review the AI Terms Addendum as part of Miro onboarding to confirm whether AI processing of customer board content is opt-in or opt-out, and whether it is covered under the DPA. 5) COMPLIANCE CONSIDERATIONS: Legal and compliance teams should review miro.com/legal/ai-features-addendum/ to assess the scope of AI data processing, determine whether board content is used for model training, and confirm whether enterprise customers can opt out of AI training uses of their data.
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The existence of a separate AI Terms Addendum means that users of Miro's AI features are subject to additional data processing terms that must be reviewed in conjunction with the privacy policy to assess the full scope of AI-related data handling.
Under this structure, users who enable or use AI features within Miro are subject to both the privacy policy and the AI Terms Addendum, and should review both documents to understand how their data and board content may be used for AI model training or improvement purposes.
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