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Audit your site against Art. 50.

Enter your URL. We run a rule-based client-side assessment across 24 transparency signals mapped to Article 50(1)–(4). Output: score, gap list, prioritized fixes.

Check: Chatbot Disclosure Check: Content Marking Check: Deepfake Labels
Result for
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Analyzing…
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Overall Compliance Index
Rule-based assessment

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    This is a rule-based diagnostic, not a legal audit. It covers client-accessible transparency signals only. For a full compliance assessment including server-side logs, backend AI usage, and contractual review, contact us.
    Methodology

    24 signals across 4 transparency domains.

    Each signal is mapped to a specific paragraph of Article 50. Scoring is binary (present / absent) and aggregated per domain.

    Domain 1 — Art. 50(1)
    Chatbot Disclosure
    • Chat widget detection
    • Opening AI disclosure pattern
    • Bot naming convention
    • Conversational endpoint signatures
    • Accessible fallback for screen readers
    • Consent persistence
    Domain 2 — Art. 50(2)
    Content Marking
    • C2PA metadata presence
    • IPTC signed metadata
    • Alt-text AI attribution
    • OpenGraph AI flags
    • Visible "Generated with AI" labels
    • Machine-readable AI signals in HTML
    Domain 3 — Art. 50(3)
    Biometric & Emotion Notice
    • Camera permissions requested
    • Biometric API usage declared
    • Emotion recognition SDK detection
    • Transparent notice at point of exposure
    • GDPR lawful basis disclosure
    • Workplace / education context flag
    Domain 4 — Art. 50(4)
    Deepfake & Public-Interest Text
    • Deepfake media disclaimer
    • Synthetic voice indication
    • AI-text editorial review flag
    • Public-interest content topic classifier
    • Persistent visual AI indicator
    • First-exposure disclosure timing

    What we don't check.

    Client-side diagnostics cannot see:

    • Backend LLM calls and server-side AI content pipelines
    • Contractual obligations between you and model providers
    • Internal AI governance policies and AI literacy training records
    • Training data provenance for models you develop
    • Notified-body conformity assessments for high-risk systems

    These require document review and stakeholder interviews. Our paid compliance engagement covers them.