In this year’s Turing Lecture Krishna Gummandi will discuss machine decision making and its increasing use in assisting, and replacing, human decision making in a variety of domains ranging from banking, recruiting, profiling criminals and even journalism.  Krishna will attempt to tackle to the questions surrounding bias that may arise when using machines and whether machines can help control bias or unfairness in human decisions.

Krishna Gummadi is an honorary professor of at the University of Saarland and Head of the Networked Systems research group at the MPI-SWS. His research interests lie in understanding and building social computing systems with current projects focusing on enhancing fairness, accountability, transparency, and explainability of automated decision-making systems. His work has been recognised by numerous awards including the ACM SIGCOMM Test-of-Time and he also received an ERC Advanced Grant in 2017 to investigate "Foundations for Fair Social Computing".