In this episode of Campus 10178 – the podcast of ESMT Berlin – Catalina Stefanescu-Cuntze and Urs Mueller join host Tammi L. Coles for a conversation about the ethical dimensions of artificial intelligence and analytics. Drawing on their experience as educators and researchers in the ESMT Master in Analytics and Artificial Intelligence (MAAI) program, they reflect on the human values behind the data, the implications of algorithmic decision making, and the need for cross-cultural dialogue in designing responsible technologies.
The conversation explores how ethical considerations arise throughout the data value chain – from collection to analysis to implementation – and why a technical solution alone is not enough. They also discuss the evolving regulatory landscape, including the EU AI Act, and the importance of embedding ethical frameworks into both education and practice.
Catalina Stefanescu-Cuntze is professor of management science at ESMT Berlin and the faculty lead of the Master in Analytics and Artificial Intelligence (MAAI) program. She joined ESMT in 2009 as an associate professor, becoming the first holder of the Deutsche Post DHL Chair, and has served in multiple leadership roles, including director of research (2010–2012) and dean of faculty (2012–2019). Prior to ESMT, she was assistant professor of decision sciences at London Business School. Catalina holds a PhD and MS in operations research from Cornell University and a BS in mathematics from the University of Bucharest. Her research and teaching focus on analytics and AI, and she is passionate about fostering the growth of this critical domain..
Urs Mueller is associate professor of practice at SDA Bocconi School of Management in Milan and a visiting lecturer at ESMT Berlin. He teaches courses on ethics, responsibility, and societal impact within data and AI systems. He has worked with organizations on business ethics and decision making and leads the “Analytics and Society” course in the MAAI program.