As the applications of Artificial Intelligence multiply rapidly, it is becoming increasingly apparent that its use involves many risks. AI systems do not have the reliability expected when compared to critical decision-making systems. They are not predictable in new environments; they need huge amounts of data and computer power to grow, and they reproduce stereotypes containing the data on which they are trained. 

In his talk at Athens Science Virtual Festival, Konstantinos Daskalakis will talk about the reasons that AI fails, analyzing the foundations of Machine Learning. The world-renowned professor of computer science at MIT will also reveal how ideas from mathematics and the social sciences can provide solutions to the challenges that have arisen.

The discussion will be moderated by Marily Nika, AI Product Manager at Google.

Constantinos Daskalakis is a professor of computer science at MIT. He is a graduate of NTUA Electrical Engineers, did his PhD at the University of Berkeley, and worked as a postdoctoral researcher at Microsoft. His research focuses on theoretical computer science and its interface with economics, statistics and artificial intelligence. In 2018, he was honored with the top Nevanlinna Prize awarded by the International Mathematical Society along with the Fields Prize for his outstanding contribution to the mathematical aspects of Information Sciences. 

Speech title: How does Artificial Intelligence fail and what can we do about it? || Date & time: Sunday 28 March, 19.00-20.00