EU AI Act Article 50 machine-readable marking guide and live data

The definitive guide to Article 50(2) marking: which mechanisms count, how to prove they survive export, and what public scorecards currently observe.

What the law requires

Article 50(2) requires providers of systems that generate synthetic audio, image, video or text, including general-purpose AI, to mark outputs in a machine-readable format and make them detectable as artificially generated or manipulated. The solutions must be effective, interoperable, robust and reliable as far as technically feasible.

EU AI Act Article 50(2)MACHINE READABLE MARKINGPROVIDER / externally testable
EU AI Act Article 50(5)CLARITY ACCESSIBILITY TIMINGBOTH / externally testable

What proves it

Marking is proven on generated artifacts, never on marketing pages. isGenAI inspects real outputs for C2PA Content Credentials, provenance metadata and watermark signals, then records the artifact hash, adapter version and verification result as evidence.

Official source text, public technical observations, vendor-submitted evidence and external inference are always kept apart. A missing public signal is recorded as NOT OBSERVED, a technical fact, never as a legal finding.

Observations from public scorecards

0 published observations for this topic under isgenai-methodology-2026-08-16.v1, each a dated technical observation with linked evidence. Legal applicability stays with counsel.

0Products with public scorecards
0Relevant controls verified
0Partially observed
0Not observed in tested flow

Observations publish the moment they clear the evidence gate. Output marking is verified on generated artifacts and disclosure inside the real user workflow, never from a marketing page alone.

Related public findings

Findings appear here as soon as a published scorecard records one for this topic.