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This short course introduces professionals to the principles and practices of Responsible AI in the development of Agentic AI systems. Participants will learn how to design, deploy, and oversee agentic AI responsibly, with attention to accountability, transparency, safety, and real-world impact.
Date: 23 March 2026
Time: 6 - 11pm (GMT+8)
Fee: US$169
Format: Online
One of only 20 globally curated members of the World Economic Forum’s Global Future Council on Data Frontiers, Dr. Kathrin Kind-Trueller is a distinguished, multi-award-winning expert in the application of artificial intelligence to business. She began her career in 1999 in quality engineering for international mobile communication networks at Siemens. Over the years, she has contributed to the development of complete vehicle functions—including ADAS, engine management, steering, braking, cockpit infotainment, and autonomous driving—at top-tier automotive suppliers such as Bosch, ZF-TRW, and Magneti Marelli, as well as OEMs like BMW (Munich), Mercedes-Benz Cars (Sindelfingen), and Audi (Ingolstadt). She later served as a senior research scientist in AI for the Volkswagen Group in Wolfsburg.
Dr. Kind-Trueller currently holds the position of Chief Data Scientist and AI Director for Cognizant in Global Growth Markets. She is also a Technical Editor for CRC Press and Springer Nature, a volunteer mentor with the KALAI initiative under ICT, and a guest lecturer at the University of Agder (Norway) and the University of New Delhi. A prolific academic, she is the author and co-author of several technical books on autonomous systems and data.
Her academic background includes a Doctorate in AI applied to business from SSBM Geneva in collaboration with the University of Zagreb, an MBA in AI from the University of Cumbria, an MSc in Computer Science and Software Engineering from the University of Hertfordshire, and a Master of Arts in Leading Innovation and Change from York St. John University. She also holds Postgraduate Diplomas in Digitalisation Leadership from Columbia University and Systems Engineering from MIT (USA). With her expertise in data science and AI, we are confident that she brings great value to our professional certificate in data science program.


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