The EU AI Act

In Episode 27 of Business Diplomacy Today, host Matthias Catón is joined by Till Klein, Head of Trustworthy AI at appliedAI. Matthias and Till explore the forthcoming EU AI Act, including an investigation of its core principles and implications for businesses.

Their conversation begins by looking at key points of the EU AI Act, including the EU’s risk-based approach, where it tries to classify certain AI practices into four categories. Matthias and Till discuss if such an act will hinder bringing innovation to the European Union due to its requirements around data governance, risk management, and accuracy.

As emerging technologies are constantly evolving, Matthias and Till further analyse how quickly the AI Act may become redundant and how to navigate this complexity, both from a governance and business perspective.

Although AI regulation is not new, both in the EU and other regions, Matthias and Till provide an insightful episode for those interested in understanding how (and why) regulation is conceived and its evolving implications on businesses and societies.

This episode was recorded on 29 January; it’s important to note, that since then, the Act has been modified and further developed.

About the guest

Till Klein

Dr Till Klein is the Head of Trustworthy AI at appliedAI, a leading AI initiative in Europe, where he is working toward accelerating Trustworthy AI at scale.

Together with this colleagues and the entire AI Ecosystem, Till is driving the co-creation of methods and tools for operationalising regulations, standards, and principles of Trustworthy AI, from Europe and beyond.

Till gained several years of industry experience in Regulatory Affairs for Medical Devices, as Lead Auditor for ISO 9001, and as Head for Quality Management in a drone company, which equips him with practical and skills perspectives that are invaluable for applying Trustworthy AI.

Till holds a Ph.D. in Business from the Centre for Transformative Innovation at the Swinburne University of Technology in Melbourne, Australia. Besides AI, his research interests include economic geography, economic complexity, social networks, innovation management, and regional clusters.

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