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Artificial Intelligence: How Should We Approach It?

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Friday, October 24, 2025 18:00, Renaissance Hotel Luzern, Seeblickstrasse 3, 6000 Luzern, Schweiz
Website: https://renaissance-luzern.com
Speaker(s):

Prof. Peter Bowen, ETH Zürich  

This thought-provoking session will be presented by the distinguished professor Peter Bowen from the United States, currently teaching at ETH Zurich, and renowned for his expertise in the field of artificial intelligence.

The lecture will explore the transformative potential of AI and its profound impact on our daily lives—shaping the way we work, communicate, and navigate the modern world. Additionally, this session will delve into how AI can influence and enhance the efforts of our Rotary Club, from streamlining administrative tasks to expanding outreach and service projects.

Whether you're an AI enthusiast, a professional, or simply curious about how to harness this technology to create positive change, this event promises to be both insightful and inspiring.

I look forward to your active and numerous participation in this lecture and the subsequent discussion.

Artificial Intelligence: Opportunity or Danger?

Prof. Peter Bowen, ETH Zurich

Prof. Peter Bowen is a highly respected artificial intelligence researcher with over 25 years of experience in academia and industry. Expertise in machine learning, robotics, and ethical AI. Dedicated to advancing the field of AI through groundbreaking research and inspiring future generations of scientists.

Education

  • Ph.D. in Computer Science Massachusetts Institute of Technology (MIT), Cambridge, MA, USA Dissertation: "Neural Networks and Adaptive Learning Algorithms" Graduation Year: 1996

  • M.Sc. in Computer Engineering Stanford University, Palo Alto, CA, USA Graduation Year: 1992

  • B.Sc. in Mathematics and Computer Science University of California, Berkeley, CA, USA Graduation Year: 1990

Professional Experience

  • Professor of Artificial Intelligence ETH Zürich, Zürich, Switzerland (2022–Present) Teaching advanced courses in machine learning and ethical AI. Leading research initiatives at the ETH AI Center, focusing on the development of responsible AI systems.

  • Senior Research Scientist Carnegie Mellon University, Pittsburgh, PA, USA (2010–2022) Conducted groundbreaking research on robotics and deep learning. Published numerous papers in leading journals and conferences.

  • AI Consultant Google DeepMind, Mountain View, CA, USA (2004–2010) Collaborated on projects involving reinforcement learning and neural networks for real-world applications.

  • Assistant Professor of Computer Science University of Chicago, Chicago, IL, USA (1996–2004) Initiated first-year courses in machine learning and supervised Ph.D. students working on AI-driven applications.