First steps under EU AI Act: Brussels audits leading AI laboratories
The European Commission has launched its first formal enforcement actions under the EU AI Act. Leading AI laboratories are now required to provide detailed documentation on cybersecurity, safety evaluations, and copyright in training data.
What happened?
The European Commission has initiated its first formal oversight actions under the EU AI Act. Technology Commissioner Henna Virkkunen confirms that developers of frontier AI models have been instructed to document their routines regarding cybersecurity, safety risks, and copyright. The move comes less than four weeks after the EU AI Act's provisions for General Purpose AI (GPAI) models took effect on 2 August 2024.
Key facts
| Tillämpningsdatum för GPAI-regler | 2 augusti 2024 |
|---|---|
| Granskade områden | Cybersäkerhet, säkerhetsrisker, upphovsrätt |
| Ansvarig EU-kommissionär | Henna Virkkunen |
Why it matters
This action marks the beginning of the practical application of the EU AI Act. Developers are legally obligated to respond to the European Commission's request for information. The requirement for transparency regarding training data and copyright places significant pressure on companies to account for how models are built and how safety is guaranteed.
Who is affected?
The decision directly affects developers of frontier AI models (frontier labs) that provide services within the EU. In the long term, this also impacts companies and developers building applications on top of these models, as well as copyright holders whose material is included in the training data.
Impact on the EU
The regulations for General Purpose AI (GPAI) under the EU AI Act became effective on 2 August 2024. The European Commission is now fully exercising its new supervisory powers, signaling that the transition period is over and that compliance is required even for non-European actors operating in the EU market.
What else you should know
The request for a summary of training data for copyright review is expected to be the most commercially sensitive aspect, as it forces companies to disclose the sources and copyrighted material used to train their AI models.
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