AI Regulation and Automated Decisioning with Peter van der Putten - 699

Today, we're joined by Peter van der Putten, director of the AI Lab at Pega and assistant professor of AI at Leiden University. We discuss the newly adopted European AI Act and the challenges of applying academic fairness metrics in real-world AI applications. We dig into the key ethical principles behind the Act, its broad definition of AI, and how it categorizes various AI risks. We also discuss the practical challenges of implementing fairness and bias metrics in real-world scenarios, and the importance of a risk-based approach in regulating AI systems. Finally, we cover how the EU AI Act might influence global practices, similar to the GDPR's effect on data privacy, and explore strategies for closing bias gaps in real-world automated decision-making.

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📖 CHAPTERS
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00:00 - Introduction
4:02- European AI Act
11:15 - EU AI Act vs other AI Regulation Acts
16:21 - Impacts of EU AI Act
21:11 - Real-world application challenges of metrics in the EU AI Act
29:05 - Addressing the challenges in fairness and bias metrics
35:02 - Closing the gap in fairness metrics and real-world AI applications
38:39 - Reasons for lack of adoption
40:32 - Recap


🔗 LINKS & RESOURCES
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Pegasystems - https://www.pega.com/
The AI Manifesto - https://www.pega.com/the-ai-manifesto
Autonomous Enterprise - https://www.pega.com/technology/auton...
Pega GenAI Knowledge - https://www.pega.com/about/news/press...
Pega GenAI Coach - https://www.pega.com/about/news/press...
Pega GenAI Blueprint - https://www.pega.com/about/news/press...
Pega GenAI - https://www.pega.com/technology/gener...
Prompts, Buddies, Coaches & Agents: The Next Generation of GenAI at Pega - https://www.pega.com/events/pegaworld...


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