TUM Think Tank
Where today's societal challenges meet tomorrow's technological excellence.
In a dynamically ever-evolving technological landscape, the proliferation of artificial intelligence (AI) has become a defining feature of the digital transformation. As AI continues to permeate various aspects of society, questions regarding its ethical implications, societal impact, and regulatory frameworks have come to the forefront. This talk delves into the commonalities and differences of AI and data regulation between the European Union (EU) and the United States (US). While both regions grapple with similar concerns surrounding privacy, bias, and accountability, their approaches to regulation diverge significantly. Through a comparative analysis, we explore foundational principles, legislative initiatives, and enforcement mechanisms shaping AI and data governance on both sides of the Atlantic.
Professor Lothar Determann practices and teaches international data privacy, technology, commercial and intellectual property law. At the global law firm Baker McKenzie in San Francisco and Palo Alto, he has been counseling companies since 1998 on data privacy law compliance and taking products and business models international. He has authored more than 150 articles and contributions and many books, including Determann’s Field Guide to Data Privacy Law (5th edition 2022) and Determann’s Field Guide to Artificial Intelligence Law (2024).
TL;DR
This talk delves into the commonalities and differences of AI and data regulation between the European Union (EU) and the United States (US). While both regions grapple with similar concerns surrounding privacy, bias, and accountability, their approaches to regulation diverge significantly. Through a comparative analysis, we explore foundational principles, legislative initiatives, and enforcement mechanisms shaping AI and data governance on both sides of the Atlantic.