Understanding the EU AI Act
Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.
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Course Description
Introduction to the EU AI Act
It’s time to act on Artificial Intelligence! This course provides an in-depth exploration of the new regulations introduced as part of the new EU AI Act through practical business scenarios.
Navigating Risk-Based Approaches and Obligations
As part of the course, you'll navigate risk-based approaches, understand the obligations of providers and deployers of AI systems, and explore various AI use cases. From prohibited practices to high-risk systems, you'll gain insights into how these rules shape AI deployment. Real-world examples, such as biometric AI, AI in education, and general-purpose models, will illustrate compliance and its benefits.
Overview of the AI Act’s Framework
The course will provide an overview of the AI Act’s framework, explaining how AI systems are classified into different risk categories: unacceptable, high, limited, and no-risk. You'll learn about the obligations of AI providers and deployers, focusing on AI safety, transparency, and accountability.
Equipping You with Fundamental Knowledge
By the end of this course, you'll be equipped with the fundamental knowledge to navigate the EU AI Act, ensuring safer and more effective AI integration in your business operations.
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Get your team access to the full DataCamp platform, including all the features.In the following Tracks
EU AI Act Fundamentals
Go To Track- 1
Introduction to the EU AI Act
FreeExplore the fundamentals of the EU AI Act, one of the most impactful digital regulations to date. This chapter unpacks the Act's purpose, scope, and risk-based framework, explaining its application across industries and its importance in ensuring safer AI technologies, enhancing trust, and driving societal and economic benefits.
- 2
EU AI Act Obligations
Delve into the distinction between AI systems and AI models under the EU AI Act. You will explore the obligations of general-purpose AI models, including documentation and transparency requirements. Understand the concept of systemic risk for powerful models and the additional responsibilities these entail, ensuring that AI deployment in Europe remains safe and human-centric.
General purpose AI models50 xpAI systems versus models50 xpGPAI models50 xpClassifying high-risk AI systems50 xpIdentifying high-risk50 xpEmbedded AI oversight50 xpHigh-risk provider obligations50 xpConformity50 xpClassifying conformity and compliance100 xpHigh-risk deployer obligations50 xpDeployers' duties100 xpChanging roles50 xp
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
EU AI Act Fundamentals
Go To Trackcollaborators
Dan NechitaLead Technical Negotiator, EU AI Act
Dan Nechita, lead technical negotiator for the EU AI Act, served as Head of Cabinet for MEP Dragos Tudorache (2019-2024), focusing on AI, digital regulation, and defence. Formerly a State Counselor for Romania on e-governance, he worked at the World Security Institute, Brookings Institution, Columbia University, and ABC News. An expert evaluator for the EU Commission and a member of UN and WEF AI working groups, he holds degrees from George Washington University (M.A.) and Columbia University (B.A.).
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