EU AI Act obligations for general-purpose AI model providers

Overview

A practical checklist for determining GPAI provider status and preparing technical documentation, downstream information, copyright policy, training-content summary, and systemic-risk controls.

What to review

1. Determine whether the model has sufficient generality, whether your organization is the provider, and whether API, download, cloud, integration, or another route places it on the EU market.
2. Maintain technical documentation covering architecture, development, training, testing, validation data, compute, energy, capabilities, limitations, and evaluation.
3. Give downstream AI-system providers timely information needed for integration and their own compliance.
4. Implement an EU copyright-compliance policy that identifies and respects rights reservations, and publish the required training-content summary.
5. If established outside the EU, assess the authorised-representative requirement before market placement.
6. Screen for systemic-risk designation or threshold and, where applicable, add model evaluation, risk mitigation, incident reporting, cybersecurity, and energy controls.

What to do next

Open-source status is not a blanket exemption: the Commission states that copyright-policy and training-summary duties can still apply, while systemic-risk obligations have separate treatment. Keep a versioned model release register and re-evaluate fine-tunes, branding, distribution, and major capability changes.

Official sources and further reading

• Guidelines on obligations for General-Purpose AI providers — European Commission
• AI Act — regulatory framework and application timeline — European Commission