Main Findings & Recommendations

We have seen first-hand insights through our Open Loop program on the EU AI Act how industry and policymakers can cooperate to advance recommendations and proposals which aim to ensure that regulation is clear and feasible, and how it can support developers in the responsible design, development and deployment of trustworthy AI systems.  Participants delved into critical areas such as risk management, data quality, technical documentation, transparency obligations, and regulatory sandboxes, providing valuable insights and suggesting recommendations for refining the AI Act.
 
The majority of participants found the selected provisions clear and feasible, aligning with the legislator's goals of building and deploying trustworthy AI. However, areas for improvement were identified, highlighting the need for ongoing refinement to avoid hindrances and promote the uptake of AI in Europe.  The program underscored the importance of precise AI categorization, the need to establish clear responsibilities along the AI value chain, the need for detailed guidance for effective AI risk assessment, paving the way for more accountable AI governance and offered insights for the design of AI regulatory sandboxes. 

The resulting policy recommendations underscored the necessity for a nuanced understanding of AI actors, effective risk assessment guidance, practical data quality requirements, clear technical documentation guidance, and targeted transparency measures. 

Many of the key recommendations from the Open Loop program around clarifying definitions, providing implementation guidance, tailoring obligations by risk level, and establishing sandboxes were incorporated into the consolidated AI Act of 2024. The Act reflects several priorities outlined in the Open Loop reports.