EU AI Act Article 50
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.
The obligation
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.
The evidence
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.
Live measurements
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.
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.
Findings
Related public findings
Findings appear here as soon as a published scorecard records one for this topic.
Official sources
Cite the text, not the summary
Every page is written for citation: subject, date, method, sample, result and limitation are all extractable.