This article is part of a series on the operational impacts of the EU AI Act. The full series can be accessed here, with the other articles in the series listed below.

The EU AI Act is the result of years of political, legal and technical debate and negotiation. In a field as complex and quickly evolving as AI, this has the potential to complicate operational compliance, particularly when the law inevitably introduces novel interpretational questions. Our understanding of the AI Act's provisions and requirements will be shaped and refined by a series of standards and regulatory guidance expected over the next 18 months. However, with a series of obligations likely to apply well before this period and the lead time required to implement AI governance measures, organizations should already be looking to understand and interpret key concepts.

This article provides insight into subject matter, definitions, key actors and scope in relation to the EU AI Act.

Top 10 operational impacts of the EU AI Act

The overview page for the series can be accessed here.

• Subject matter, definitions, key actors and scope
• Understanding and assessing risk
• Obligations on providers of high-risk AI systems
• Obligations on nonproviders of high-risk AI systems
• Obligations for general-purpose AI models
• Governance: EU and national stakeholders
• AI Assurance across the risk categories
• Post-market monitoring, information sharing and enforcement
• Regulatory implementation and application alongside EU digital strategy
• Leveraging GDPR compliance