The EU's Approach to AI - A Human-Centric Vision | Diamond Arm

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EU AI Act Course

Introduction to the EU AI Act

Start here (1:02)
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Exclusive Awesomeness Below
Why an AI Act? (6:09)
The EU's Approach to AI - A Human-Centric Vision (10:23)
Scope and Jurisdiction - Who Does It Apply To (9:46)
Historical Perspective (14:48)

Categorizing AI Systems

Unacceptable Risk - Prohibited AI Practices (11:05)
High-Risk AI Systems - The Core of the Regulation (12:42)
Limited Risk - Transparency Obligations (10:42)
Minimal Risk - The Vast Majority of AI Systems (11:37)
Case Studies - Classifying AI Systems in Practice (8:59)
Risk Management Frameworks - Implementing (11:39)
Consequences of using prohibited AI systems (16:58)

Obligations for High-Risk AI Systems

Identifying High-Risk AI Systems (17:41)
Data Governance and Management - The Foundation of Trustworthy AI (12:54)
Technical Documentation and Record-Keeping (11:19)
Transparency and Provision of Information (9:16)
Human Oversight - Keeping Humans in the Loop (11:53)
Accuracy, Robustness, and Cybersecurity (10:48)
Conformity Assessment and Post-Market Monitoring (9:13)

Obligations for Providers and Users - Roles and Responsibilities

Defining 'Provider' and 'User' - Clarifying the Roles (10:23)
Obligations of Providers - Ensuring Compliance from the Start (10:12)
Obligations of Users - Ensuring Responsible Deployment (12:02)
Shared Responsibilities - Collaboration and Communication (9:22)
Case Studies - Analyzing Provider and User Interactions (11:36)
Liability and Redress - Understanding the Consequences of Non-Compliance (11:39)

Governance, Enforcement, and Standards - The Regulatory Landscape

National Competent Authorities - The Front Line of Enforcement (10:13)
The European AI Board - Coordinating and Advising (10:05)
Harmonized Standards - Creating a Common Framework (11:16)
Enforcement Mechanisms - Ensuring Compliance (11:20)
Penalties for Non-Compliance - The Cost of Breaking the Rules (7:41)
Regulatory Sandboxes - Fostering Innovation Responsibly (11:21)

Specific AI Applications and Sectoral Considerations

AI in Healthcare - Balancing Innovation and Patient Safety (11:15)
AI in Finance - Managing Risk and Ensuring Fairness (15:14)
AI in Transportation - Navigating the Road to Autonomous Vehicles (14:12)
AI in Education - Personalizing Learning and Addressing Bias (12:47)
AI in Public Administration - Enhancing Efficiency and Transparency (9:54)
Cross-Sectoral Considerations - Common Challenges and Best Practices (8:56)

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The EU's Approach to AI - A Human-Centric Vision

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