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Navigating High-Risk AI: Practical Guidance and Forthcoming EU Legislation under the AI Act
Rimma Dzhusupova
Member of the Plenary in Developing the EU General-Purpose AI Code of Practice
The EU AI Act introduces a new era of regulation for organizations developing or deploying AI, especially in sectors where AI applications can be classified as high-risk. This session will guide you through:
- The EU AI Act's Risk-Based Approach: Understanding how AI systems are classified, what makes a system "high-risk," and why this matters
- Practical Compliance Frameworks: A step-by-step framework for aligning your AI development and deployment workflows with the Act's requirements. This includes procurement, adaptation of third-party generative AI, and internal development of AI solutions.
- Real-World Case Studies: How organizations are establishing their AI governance practices to meet new legal obligations.
Actionable Takeaways:
- How to identify high-risk AI systems
- What to require from vendors and partners
- How to integrate compliance into your AI lifecycle
The EU AI Act introduces a new era of regulation for organizations developing or deploying AI, especially in sectors where AI applications can be classified as high-risk. This session will guide you through:
- The EU AI Act's Risk-Based Approach: Understanding how AI systems are classified, what makes a system "high-risk," and why this matters
- Practical Compliance Frameworks: A step-by-step framework for aligning your AI development and deployment workflows with the Act's requirements. This includes procurement, adaptation of third-party generative AI, and internal development of AI solutions.
- Real-World Case Studies: How organizations are establishing their AI governance practices to meet new legal obligations.
Actionable Takeaways:
- How to identify high-risk AI systems
- What to require from vendors and partners
- How to integrate compliance into your AI lifecycle
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