Fundamentals of the EU AI Act

Navigate the foundation of the EU AI Act in this e-learning course. Understand the Act’s foundational structures, its influence on AI technology, compliance requirements, and operational impacts for stakeholders. Gain the insights needed to steer your AI initiatives within the EU’s legal frameworks, ensuring innovative, yet compliant advancements.

1. Introduction to the EU AI Act

This module provides a foundational understanding of the EU AI Act, outlining its main objectives and relevance in AI development and use in the European Union. Learn about the Act’s approach to balancing AI risks and benefits, its emphasis on EU values, and the classification of AI systems based on risk levels.

Lessons

Start: Introduction to the EU AI Act Overview of the EU AI Act Significance of the EU AI Act Concepts explained: Risk versus Role Wrap-up: Introduction to the EU AI Act

2. Classification of AI Systems

In this module, you’ll gain a comprehensive understanding of how the EU AI Act categorizes AI systems based on various risk levels. Dive into the criteria and implications of each classification, ensuring clarity on regulatory requirements and the responsibilities of entities within the AI value chain.

Lessons

Start: Classification of AI Systems Categorization of AI Systems Prohibited Uses of AI High-Risk AI Systems Wrap-up: Classification of AI Systems

3. Requirements and Obligations

In this module, delve into the specific duties and stipulations set forth by the EU AI Act. Grasp the nuances of what’s expected from AI developers, users, and other stakeholders to ensure compliance with the Act’s provisions.

Lessons

Start: Requirements and Obligations Overview of Roles Responsibilities of Users of High-Risk AI Systems Responsibilities of Importers and Distributors Requirements for Providers Wrap-up: Requirements and Obligations

4. Transparency, Codes of Conduct & Innovation Measures

In this module, explore the EU AI Act’s provisions on transparency, the role of codes of conduct, and the measures it recommends to foster innovation. Understand how these elements work together to promote trustworthy and forward-thinking AI practices within the European Union.

Lessons

Start: Transparency, Codes of Conduct & Innovation Measures Transparency Obligations for AI Systems Codes of conduct and voluntary compliance Measures for Encouraging Innovation Wrap-up: Transparency, Codes of Conduct & Innovation Measures

5. Conclusion and Key Takeaways

This module wraps up the “Fundamentals of the EU AI Act” course with some key takeaways, a summary of the EU’s role in AI regulation, and a quick peek into future implications.

Lessons

Key Points and Highlights Relationship to other EU digital legislation Conclusion and Future Implications Final Assessment