AI Literacy (Article 4 AI Act)
Technical and business teams working with AI must have documented training covering model limitations, risks, and human oversight.
Answer a short series of questions and we will prepare a recommendation and an action report.
Answer a short series of questions and we will prepare a recommendation and an action report.
This affects the weight of obligations and implementation priorities.
The questionnaire result is indicative and does not constitute a full legal compliance assessment. Final classification requires expert legal, compliance, and technical review.
Key obligations in chronological order — from those already in force to upcoming deadlines.
Technical and business teams working with AI must have documented training covering model limitations, risks, and human oversight.
Ban on social scoring, manipulative AI, mass facial recognition, and emotion recognition in workplaces and schools. Continuous monitoring required.
Providers of general-purpose AI models (chatbots, content generators, recommendation engines) must ensure transparency, training data documentation, and copyright compliance.
Three-tier penalty system proportional to the type of violation:
Obligation to inform users of AI interaction, mark AI-generated content (watermarking), disclose deepfakes, and notify about emotion recognition and biometric use.
Full obligations for high-risk AI: risk management, data governance, technical documentation, transparency, human oversight, accuracy, and cybersecurity.
GDPR obligations are continuous: lawful basis, information duties, rights handling, and consistent retention policies.
Open GDPR ScannerWebsites should maintain accessibility controls including contrast, keyboard navigation, semantic structure, ARIA, and accessible forms.
Open WCAG ScannerHigh-risk AI systems require decision logging, human review mechanisms, incident response procedures, and the ability for human intervention.