Explore 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.

The EU AI Act

AI Act global reach

Growing AI

Risk classification

Unacceptable risk

Providers versus deployers

Limited exceptions

Limited-risk AI systems

Building the pyramid

Introduction to the EU AI Act

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 models

AI systems versus models

GPAI models

Classifying high-risk AI systems

Identifying high-risk

Embedded AI oversight

High-risk provider obligations

Conformity

Options

Conformity assessment

Other obligations

Classifying conformity and compliance

High-risk deployer obligations

Required for deployers

Not required for deployers

Deployers' duties

Changing roles

EU AI Act Obligations

Act on Artificial Intelligence! This course explores the new EU AI Act. Learn risk-based approaches, provider/deployer obligations, and AI use cases. Understand AI risk categories and compliance, with examples in biometric AI, education, and general-purpose models. Gain essential knowledge to navigate and integrate AI safely and effectively in business.

<h2>Introduction to the EU AI Act</h2>
<p>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.</p>

<h2>Navigating Risk-Based Approaches and Obligations</h2>
<p>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.</p>

<h2>Overview of the AI Act’s Framework</h2>
<p>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.</p>

<h2>Equipping You with Fundamental Knowledge</h2>
<p>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.</p>


Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

Understanding the EU AI Act

AB Yapay Zeka Yasası Temelleri

Implementing a risk management system to continuously identify, document, and mitigate risks.

Ensuring data governance measures to maintain unbiased and fit-for-purpose data.

Creating detailed technical documentation and enabling record-keeping through automated logs.

Establishing a quality management system to oversee the development, deployment, and maintenance of the AI system.

Registering the AI system in the EU database of high-risk AI systems.

Classifying conformity and compliance

Understanding the EU AI Act

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