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The MLSecOps Podcast
Exploring Generative AI Risk Assessment and Regulatory Compliance
Jul 26, 2024
David Rosenthal, a Partner at VISCHER, shares his expertise in data and technology law with over 25 years of experience. He dives into the intricacies of the EU AI Act, discussing the challenges organizations face in compliance and how it could stifle innovation. The conversation also introduces a generative AI risk assessment tool aimed at helping organizations mitigate potential risks. Finally, they reflect on the future of AI integration into daily life and the need for adaptation amid evolving regulations.
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Quick takeaways
- The EU AI Act establishes a categorized risk framework for AI applications, guiding organizations to identify and manage compliance obligations accurately.
- To navigate regulatory compliance complexities, companies can utilize generative AI risk assessment tools that provide structured frameworks for evaluating and documenting risks.
Deep dives
Understanding the EU AI Act
The EU AI Act categorizes AI applications into four risk levels: unacceptable, high, limited, and minimal. Unacceptable risks refer to applications that are prohibited, such as social scoring and emotion recognition in workplace settings. High-risk applications, which are subject to strict regulations, include AI systems used for assessing job candidates or determining creditworthiness. The Act's focused approach aims to regulate these higher-risk products rather than general AI concerns like bias, making it essential for companies to identify which applications fall under these categories.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode