Master AI Compliance: The Ultimate Guide to the EU AI Act

🚀 Master AI Compliance: The Ultimate Guide to the EU AI Act 🚀

Welcome to our comprehensive guide on the EU AI Act! In this video, regulatory compliance expert Michael Berelli from AI and Partners delves deep into the world's first comprehensive law on artificial intelligence. We'll explore the key aspects of the EU AI Act, comparing and contrasting its impact on various industries and highlighting the advantages and disadvantages for businesses of all sizes.

Key topics covered:
- The EU AI Act's risk-based, technology-neutral approach
- The four risk levels: unacceptable, high, minimal, and limited
- Specific applications and examples of AI systems
- The importance of data governance and leadership
- Compliance timelines and penalties for non-compliance

Whether you're a data scientist, a machine learning enthusiast, or a business leader, this video is packed with insights that will help you navigate the complexities of AI regulation. Understand how the EU AI Act will affect your favorite apps, data science projects, and machine learning models, from Python and R to REST and SOAP APIs, and even Transformers.

Keep exploring, keep learning, and ensure your AI systems are compliant and trustworthy.

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#EuAiAct #TrustworthyAi #AiLawOverview #AiSystemObligations #ArtificialIntelligenceLaw

CHAPTERS:
00:00 - Intro
02:13 - Michael Berrelli Ai & Partners
05:00 - EU AI Act Overview
06:10 - AI Risk Levels Explained
09:48 - Data Leadership in EU AI Act
12:05 - Provider and User Obligations
13:43 - Importance of Data Leadership
19:36 - Ensuring Data Quality
20:40 - AI Governance Framework
22:17 - Article 10 Direct Links
25:38 - E-Act Impact on Companies
26:52 - High-Risk Opportunities vs. Systems
27:14 - E-Act and Company Sizes
28:08 - Understanding AI Concepts
29:25 - AI System Risk Levels by Use
31:10 - Penalties for Non-Compliance
32:42 - AI Insurance Options
34:28 - Questionable AI Systems and E-Act
35:43 - Onboarding Process with Ecomply
37:20 - Upcoming Event Details
37:54 - Conclusion

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Data is the fuel and AI is the combustion engine....loved it !!!