August 2, 2025, marks a significant turning point in the AI world. The EU’s AI Act obligations for general-purpose AI (GPAI) models are now officially in force. This is not just a news report—it’s an essential new reality for every organisation involved in building, deploying, or using AI.

As the industry grapples with the EU’s newly approved GPAI Code of Practice, companies are urgently seeking leaders who can navigate this complex regulatory landscape.

We are pleased to announce important news about the European Union’s regulation of artificial intelligence. The much-anticipated Code of Practice for General-Purpose AI (GPAI) has just been published. A vital step in ensuring compliance with the EU AI Act.

Here’s what you need to know and how you can get ready for the upcoming challenges.

1. Background

Recent discussions have sparked significant debate over the possible postponement of the EU AI Act’s implementation deadlines. A key concern has been the preparedness of both the Code of Practice for GPAI and the EU AI standards, which many organisations consider vital for compliance. While I earlier believed that these delays should not impede compliance efforts, we are pleased to announce that the Code of Practice for GPAI is now officially available.

2. Purpose of the Code of Practice for GPAI

As specified in Article 53 of the EU AI Act, GPAI model providers can use codes of practice to demonstrate compliance until the relevant EU AI standards are published. Notably, adherence to the Code of Practice is voluntary. However, if a provider opts not to follow it or fails to meet an EU AI standard, they must provide alternative methods to prove adequate compliance.

3. Key Components of the Code of Practice

The Code of Practice has three sections that correspond with the EU AI Act’s provisions for GPAI:

– Transparency: Features a straightforward Model Documentation Form to improve clarity and accountability.

– Copyright: Offers practical measures to support policies that adhere to EU copyright law and respect intellectual property rights.

– Safety and Security: Details concrete practices for managing systemic risks linked to GPAI, fostering safer AI deployment.

All our CAIO Certification Seminars will focus on how organisations can adapt to these changes, with a more thorough examination of the Code of Practice, providing insights and strategies for effective compliance. Don’t miss this chance to boost your understanding and preparation for the evolving AI regulatory landscape.

For details on the CAIO seminars see: here.