RightsDocketRightsDocket
Quick Start Guide 2 of 2

EU AI Act Compliance Check

Prepare your AI-generated content for Article 50 provenance requirements. A step-by-step workflow using RightsDocket to build a defensible compliance record.

5 steps~12 minUpdated March 2026

Freshness Check

Last reviewed Mar 26, 2026. Reviewed against Regulation (EU) 2024/1689 on March 26, 2026. Implementation details and codes of practice may still evolve, so confirm the latest official materials before adopting a compliance position.

Direct Answer

Article 50 of the EU AI Act creates transparency obligations for providers and deployers in specific AI output scenarios, including obligations around AI-generated or manipulated content. For creative teams, the immediate takeaway is that machine-readable provenance and accurate disclosure need to be part of the workflow before the August 2, 2026 application date for those transparency obligations.

Enforcement Deadline
2
months remaining
August 2, 2026 — EU AI Act Article 50
Enforcement exposure depends on which AI Act obligation applies and the role of the entity involved, so confirm the latest official materials before relying on a compliance position.

What Article 50 requires

Article 50 requires providers and deployers of certain AI systems to disclose when output is AI-generated or manipulated, with specific obligations varying by AI system risk category. The EU Code of Practice (final version expected June 2026) specifies two marking layers: machine-readable provenance metadata (C2PA) and imperceptible watermarking.

This guide walks through how RightsDocket builds the project record, IPTC Digital Source Type mapping, and proof layers needed for a C2PA-aware workflow on supported audio assets. The legal and review intelligence stays in the provenance package; the manifest carries only the machine-readable provenance facts when a supported signed asset is present.

United States
CA SB 942
Enforcement: August 2026
United States
CA AB 853
Enforcement: January 2027
European Union
EU AI Act Art. 50
Enforcement: August 2, 2026
China
AI Content Labeling
In force: September 2025
Step 01

Identify your AI-generated assets

Before using RightsDocket, audit which content in your pipeline involves AI generation. Article 50 applies to any content where an AI system contributed to the output — text, images, audio, video, or mixed media.

Do this

List every asset in your current workflow that involves AI tools (e.g., Suno, Udio, Midjourney, ChatGPT, DALL-E, Stable Diffusion). For each asset, note: the AI tool used, the version, and whether any human modification occurred after generation.

TIP

Start with your highest-risk assets — content distributed in EU markets or to EU-based audiences. Article 50 enforcement applies based on where content is deployed, not where it was created.

Step 02

Create a project and map the IPTC source type

Upload your asset to a new RightsDocket project. The platform maps your human/AI contribution levels to the IPTC Digital Source Type vocabulary — the standard taxonomy that EU regulators and C2PA-aware platforms use to classify content provenance.

ScenarioIPTC Source TypeMeaning
Fully AI-generatedtrainedAlgorithmicMediaOutput from a trained model with no significant human modification
AI + human editscompositeWithTrainedAlgorithmicMediaAI output combined with human creative contribution
AI-enhancedalgorithmicallyEnhancedHuman-created work improved using AI tools
Fully human-createddigitalCreationNo AI involvement — human-authored digital work
What RightsDocket generates

The platform selects the correct IPTC Digital Source Type from your contribution mapping and carries that classification into the project record. For supported signed assets, the same machine-readable classification can travel through the C2PA manifest while the review and filing context remains in the provenance package.

Step 03

Prepare the C2PA-aware proof path

RightsDocket includes a C2PA-aware signing, verification, and compliance-export path for supported audio assets in the current workflow. MP3, WAV, and M4A are the current embedded-target formats; FLAC and OGG follow a sidecar handling path. The manifest carries machine-readable provenance facts, while the legal and review intelligence remains in the provenance package.

Do this

After mapping contributions, confirm the asset path you are preparing. If you are working with MP3, WAV, or M4A, review the supported asset selected for embedded-target signing. If you are working with FLAC or OGG, keep the sidecar handling path with the record. In either case, confirm the IPTC source type, contributor list, and AI tool declarations before export or signer handoff.

NOTE

C2PA metadata alone may not satisfy the full Article 50 requirement. The EU Code of Practice mandates both machine-readable metadata (C2PA) and imperceptible watermarking. For supported signed assets, RightsDocket can carry C2PA-backed proof. Watermarking is a separate infrastructure decision.

Step 04

Anchor with a cryptographic timestamp

Export your HTML Rights Receipt and Signed Metadata. The signed metadata includes a document hash and Ed25519 signature for integrity verification. RFC 3161 trusted timestamping is now included for cryptographic proof-of-existence.

Why this matters for compliance

Regulators and auditors need evidence that provenance records existed at the time of content distribution, not after an inquiry. Cryptographic timestamps provide that chain-of-custody evidence with integrity guarantees.

Do this

Click Export → confirm your output options → download. Store the provenance package and its proof artifacts in your compliance archive so the record, signature, and timestamp evidence stay together.

Step 05

Verify and archive your compliance record

Use the RightsDocket verification portal to confirm that your provenance record is intact. The verify-without-uploading feature checks file integrity using cryptographic hashes — your file never leaves your environment.

Do this

Navigate to the verification portal → check the record hash or a supported signed asset → confirm the signer/readback result, IPTC source type classification, and timestamp evidence. Archive the provenance record alongside the original asset in your compliance system.

EU AI Act Readiness Checklist

  • AI asset inventory complete
    All AI-generated content in EU-distributed pipeline identified
  • IPTC source types mapped
    Each asset classified with correct Digital Source Type
  • Supported asset path reviewed
    Embedded-target signing or sidecar handling confirmed for the asset type
  • RFC 3161 timestamps applied
    Proof-of-existence anchored for each provenance record
  • Verification confirmed
    All records validated through the verification portal
  • Watermarking strategy identified
    Separate from C2PA — watermark requirement assessed for the distribution workflow
  • Compliance archive established
    Provenance records stored alongside original assets
TIP

Run this compliance check for every new AI-generated asset before distribution in EU markets. Build provenance into your production workflow — not as an afterthought.

RightsDocket

Keep the human in the record.

Keep reading