Understanding the EU AI Act
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Learn how the EU AI Act sorts AI systems by risk and what it asks of providers and deployers, including general-purpose and high-risk AI.
The EU AI Act sets rules for how artificial intelligence is built and used in Europe, and organizations based elsewhere can fall under it when they deploy AI systems there. The lessons work through the Act’s risk-based approach, where the level of risk an AI system poses decides which practices are prohibited and which duties apply. They also separate the responsibilities of the providers and the deployers of AI systems, with business scenarios that make each rule concrete.
What You Will Achieve
- Place an AI use case in the right tier of the Act and tell whether the practice is prohibited
- Decide whether your organization acts as a provider or a deployer of an AI system, and spot when that role shifts
- Judge whether a general-purpose AI model carries systemic risk and which documentation and transparency duties follow
- Outline the conformity checks and oversight duties that apply once an AI system is classed as high-risk
Program Overview
Purpose, Reach, and Risk Classification of the Act
Sets out why the Act exists, where it applies, and how its risk pyramid sorts AI systems into tiers with different rules.
- The Act’s purpose, growing AI use and global reach
- Unacceptable-risk and limited-risk AI systems
- Providers versus deployers
- Limited exceptions to the rules
General-Purpose AI Models and Systemic Risk
Separates AI models and AI systems under the Act and explains the duties placed on general-purpose models, with extra demands on the most powerful ones.
- AI systems versus AI models
- Documentation and transparency for GPAI models
- Systemic risk and added responsibilities
High-Risk Systems: Classification and Obligations
Covers how high-risk systems are identified and what providers and deployers must do to keep them compliant.
- Identifying and classifying high-risk AI systems
- Oversight of embedded AI
- Provider obligations and conformity
- Deployer duties and changing roles
Certificate Awarded (Paid)
Job Outlook
This knowledge applies wherever organizations build or deploy AI systems for the European market, in business, policy and technical work where compliance with the Act has to be planned and checked.
Good for: Business professionals, policymakers and AI practitioners who need a plain grounding in what the EU AI Act asks of providers and deployers.
Keep in mind: It covers EU law as set out in the AI Act, in two short chapters of theory and business scenarios: fundamental knowledge of the Act, not legal advice on a particular system.
Bottom line: A focused look at the Act’s risk tiers and role-based duties, with a whole chapter given to general-purpose models and high-risk obligations.
Frequently Asked Questions
Does the EU AI Act apply to companies outside Europe?
The course has a lesson on the Act's global reach. Its rules cover organizations that deploy AI systems in Europe, so a company based in another region can still be affected when its AI is used there.
Which risk categories does the course describe?
The first chapter builds the Act's risk pyramid step by step. It covers unacceptable-risk practices that are prohibited, high-risk systems, limited-risk systems and their own rules, and the limited exceptions the Act allows.
How does the course treat general-purpose AI models?
The second chapter sets AI models apart from AI systems under the Act, then turns to the documentation and transparency duties of general-purpose models and the added responsibilities that apply to powerful models carrying systemic risk.
What does the course say about high-risk AI systems?
It shows how high-risk systems are identified and classified, including oversight of embedded AI, then sets out the obligations of providers, conformity and compliance, the duties that fall on deployers, and what happens when roles change.
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