Navigating the EU AI Act

Course details

The European Union (EU) Artificial Intelligence (AI) Act is a first-of-its-kind global regulation for trustworthy AI. Once passed into law, the act will enforce a legal framework using a risk-based approach aimed at regulating the development, deployment, and use of AI in the European Union. Companies failing to abide by the reporting and transparency requirements defined in the act will be subject to monetary repercussions.

In this course, Tristan Ingold examines the transformative EU AI Act. He defines AI systems in the context of the EU and identifies requirements and obligations imposed by the act on AI system providers and users. He also details the various business and technical challenges and opportunities that stakeholders will have to consider. Whether you are a developer, business leaders, risk and compliance professional, or just interested in understanding the future of AI regulation, this course should help you understand how legislative developments will impact AI systems.

Learning objectives
Understand how, when, and on which companies the EU AI Act will be enforced once it is ratified.
Define AI in the context of the EU and identify AI systems at the various risk levels.
Identify the various user and system obligations imposed by the AI Act.
Apply the principles of the AI Act in real-world scenarios to promote compliance while encouraging innovation and ethical AI development.

Concepts

0. Introduction

01 - Get started with the EU AI Act
02 - Not a legal advice disclaimer
03 - Key terms and definitions

1. EU AI Act Fundamentals

04 - The goals of the AI Act
05 - Geographic and sector scope
06 - Risk-based approach
07 - Key timelines to consider

2. Classifications and Requirements

08 - Prohibited artificial intelligence practices
09 - Classification of high-risk AI systems
10 - Exceptions to the high-risk classification
11 - Risk management systems
12 - Data quality and governance
13 - Technical documentation and recordkeeping
14 - Transparency requirements
15 - Human oversight
16 - Accuracy, robustness, and cybersecurity

3. Provider and User Obligations

17 - High-risk AI system provider obligations
18 - Quality management systems
19 - Importer and distributor obligations
20 - High-risk AI system deployer obligations

4. Notify Authority

21 - Define the notifying authority and bodies
22 - Notification procedures

5. Certification and Registration

23 - Conformity assessment procedures
24 - Declaration of conformity and CE marking
25 - AI system registration

6. Support Innovation and Governance

26 - AI regulatory sandboxes
27 - The AI Office and European Artificial Intelligence Board
28 - Advisory forum and the scientific panel

7. Monitoring, Enforcement, and Penalties

29 - Post-market monitoring of AI systems
30 - Incident information sharing
31 - Remedies
32 - Penalties for noncompliance

Conclusion

33 - Additional references for AI Act compliance