“Complex problems require complex solutions” is what is suggested by the advent of big data analytics and artificial intelligence. In this Science Circle Lecture on 17th January, Prof. Dr. Gerd Gigerenzer argued that this belief is only true in a relatively stable world, but not for an uncertain world. He discussed how under uncertainty, simple heuristics can predict as accurately or better as complex machine learning algorithms. The talk charted a path for the evolving areas of AI and machine learning to profit from simple, robust heuristics rather than complex, but often futile analysis of multiple variables.
Prof. Dr. Gerd Gigerenzer is partner of Simply Rational - The Institute for Decisions. He is former Director of the Adaptive Behavior and Cognition (ABC) Center at the Max Planck Institute for Human Development and at the Max Planck Institute for Psychological Research in Munich, Professor of Psychology at the University of Chicago and John M. Olin Distinguished Visiting Professor, School of Law at the University of Virginia.
Dr. Renate Schimkoreit, Minister and Head of the Department for Economic & Global Affairs, German Embassy held the opening speech and highlighted the importance of Indo-German relations in the field of Science and Technology.
The Lecture was jointly organised by German Embassy, German Centre for Research and Innovation and Max Planck Society at the German Embassy and was followed by an interactive Q&A session.