Article 50 — Transparency Obligations for Specific AI Systems
AI systems interacting with natural persons, generating synthetic content, performing emotion recognition or biometric categorisation, and deep fakes carry specific transparency obligations regardless of risk tier.
What the Article requires
Article 50 applies regardless of high-risk classification. Providers of AI systems intended to interact with natural persons (chatbots) must inform users they're interacting with AI unless obvious. Providers of generative AI must ensure synthetic content is detectable (watermarking). Deployers of emotion-recognition or biometric-categorisation systems must inform exposed natural persons. Deployers of deep-fake-generating AI must disclose the synthetic nature of the output. Some exceptions for law enforcement and freedom-of-expression contexts.
In engineering terms
Implementation is mostly UX work — chat-interface disclosure copy, C2PA-style provenance signals on generated media, consent flows for emotion-recognition deployments. Easy to get right at the start, expensive to retrofit. The watermarking discipline is the only technically non-trivial part: providers must use 'effective, interoperable, robust and reliable' techniques as far as technically feasible.
Compliance checklist
- ✓Chatbot interactions disclosed to users (UX copy)
- ✓C2PA or equivalent watermarking on generated media
- ✓Emotion-recognition deployments disclose exposure
- ✓Deep-fake outputs labelled as synthetic
- ✓Documentation of disclosure mechanisms
Terms used here
All Articles in the reference · The EU AI Act compliance architecture
Need audit-survivable evidence for Article 50?
MindMap runs a 90-day path from standing start to audit-survivable evidence. Talk to the engineering team.