Introduction to the EU AI Act
Categorizing AI Systems
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Unacceptable Risk - Prohibited AI Practices (11:05)
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High-Risk AI Systems - The Core of the Regulation (12:42)
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Limited Risk - Transparency Obligations (10:42)
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Minimal Risk - The Vast Majority of AI Systems (11:37)
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Case Studies - Classifying AI Systems in Practice (8:59)
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Risk Management Frameworks - Implementing (11:39)
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Consequences of using prohibited AI systems (16:58)
Obligations for High-Risk AI Systems
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Identifying High-Risk AI Systems (17:41)
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Data Governance and Management - The Foundation of Trustworthy AI (12:54)
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Technical Documentation and Record-Keeping (11:19)
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Transparency and Provision of Information (9:16)
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Human Oversight - Keeping Humans in the Loop (11:53)
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Accuracy, Robustness, and Cybersecurity (10:48)
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Conformity Assessment and Post-Market Monitoring (9:13)
Obligations for Providers and Users - Roles and Responsibilities
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Defining 'Provider' and 'User' - Clarifying the Roles (10:23)
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Obligations of Providers - Ensuring Compliance from the Start (10:12)
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Obligations of Users - Ensuring Responsible Deployment (12:02)
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Shared Responsibilities - Collaboration and Communication (9:22)
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Case Studies - Analyzing Provider and User Interactions (11:36)
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Liability and Redress - Understanding the Consequences of Non-Compliance (11:39)
Governance, Enforcement, and Standards - The Regulatory Landscape
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National Competent Authorities - The Front Line of Enforcement (10:13)
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The European AI Board - Coordinating and Advising (10:05)
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Harmonized Standards - Creating a Common Framework (11:16)
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Enforcement Mechanisms - Ensuring Compliance (11:20)
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Penalties for Non-Compliance - The Cost of Breaking the Rules (7:41)
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Regulatory Sandboxes - Fostering Innovation Responsibly (11:21)
Specific AI Applications and Sectoral Considerations
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AI in Healthcare - Balancing Innovation and Patient Safety (11:15)
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AI in Finance - Managing Risk and Ensuring Fairness (15:14)
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AI in Transportation - Navigating the Road to Autonomous Vehicles (14:12)
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AI in Education - Personalizing Learning and Addressing Bias (12:47)
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AI in Public Administration - Enhancing Efficiency and Transparency (9:54)
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Cross-Sectoral Considerations - Common Challenges and Best Practices (8:56)
