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Francesco Bonchi

Algorithmic fairness beyond statistical parity: The case of fair matching and ranking

Matching and ranking algorithms are used routinely in many decision-making processes in spheres such as health (e.g., recipients list for solid organs transplantation, triage in pandemic), education (e.g., university admission), or employment (e.g., selection for a job), which can have a direct tangible impact on people’s life. Although many valid solutions may exist to a given problem instance, when the elements that shall be matched or ranked in a solution correspond to individuals, it becomes of paramount importance that the solution is selected fairly. In this talk we present a recent line of research about individual fairness in combinatorial problems.

Francesco Bonchi

Francesco Bonchi is Co-Founder and Research Director at Centai (Center for Artificial Intelligence), a newly established research center in Turin, Italy. He’s also member of of the Board of Directors of Centai and CEO at SOM (Sound of Mind) S.r.l., the holding of researchers owning the 51% of Centai.

Earlier he was Scientific Director at the ISI Foundation, Turin, Italy, where he was also coordinating the “Learning and Algorithms for Data Analytics” Research Area. Even earlier he was Director of Research at Yahoo Labs in Barcelona, Spain. He is also (part-time) Research Director for Big Data & Data Science at Eurecat (Technological Center of Catalunya), Barcelona.

His recent research interests include algorithms and learning on graphs and complex networks (e.g., financial networks, social networks, brain networks), fair and explainable AI, and more in general, privacy and all ethical aspects of data analysis and AI. He has more than 250 publications in these areas. He also filed 16 US patents, and got granted 9 US patents.

He is member of the Steering Committee of ECML PKDD and IEEE DSAA, and is in the editorial board of several journals in the Data Science area. He has been PC Chairs of many international conferences, including ECML PKDD (2010 and 2018), the 16th IEEE International Conference on Data Mining (ICDM 2016), the 28th ACM Conference on Hypertext and Hypermedia (HT 2017), the “Social Network Analysis and Graph algorithms for the Web” track @ The International World Wide Web Conference (WWW 2018), the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019), among the others.

Dr. Bonchi has been the General Co-Chair of the 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018). He will be General Chair, together with Elena Baralis, of ECML PKDD 2023, to be held in Turin (Italy). He will be General Chair, together with Ricardo Baeza-Yates, of ACM SIGKDD 2024, to be held in Barcelona (Spain).