Instructors
Carlos Castillo
Short bio
Carlos Castillo (they/them) is an ICREA Research Professor at Universitat Pompeu Fabra in Barcelona, where they lead the Web Science and Social Computing research group. Their background is information retrieval, and currently they focus on algorithmic fairness and crisis informatics.
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Alessandro Fabris
Short bio
Alessandro Fabris (he/him) is a postodoctoral researcher at Max Planck Institute for Security and Privacy. His research focuses on algorithmic fairness and auditing in information access systems, with a focus on domain-specific requirements, and a critical perspective on data management and ethics.
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Clara Rus
Short bio
Clara Rus (she/her) is a PhD student at University of Amsterdam. Her research focuses on fairness-aware learning to rank for algorithmic hiring.
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Marianna Capasso
Short bio
Marianna Capasso (she/her) is Postdoctoral Researcher in AI Ethics at Utrecht University. Her main research interests lie at the intersection of political philosophy and philosophy of technology, with a special focus on topics such as control and responsibility with AI, algorithmic fairness, and AI and the future of work.
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Salvatore Ruggieri
Short bio
Salvatore Ruggieri (he/him) is a Professor of Computer Science at the University of Pisa, where he teaches at the Msc. Program in Data Science and Business Informatics and at the PhD Program in AI. He is a member of the KDD LAB http://www-kdd.isti.cnr.it/, with research interests focused in algorithmic fairness, explainable AI, causality, uncertainty in AI.
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Riccardo Guidotti
Short bio
Riccardo Guidotti (he/him) is an Assistant Professor of Computer Science at the University of Pisa, where he teaches at the Msc. Program in Data Science and Business Informatics and at the PhD Program in AI. He is a member of the KDD LAB http://www-kdd.isti.cnr.it/, with research interests focused in, explainable AI, interpretable machine learning, fairness, causality, time series and clustering.
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Antonio Mastropietro
Short bio
Antonio Mastropietro (he/him) is a Postdoctoral Researcher of Computer Science at the University of Pisa. He is a member of the KDD LAB (http://www-kdd.isti.cnr.it/), with research interests focused in, explainable AI, interpretable machine learning, game theory and anomaly detection.
Web page
Clara Helming
Short bio
Clara Helming is a Senior Policy and Advocacy Manager at AlgorithmWatch, a human rights organization based in Berlin and Zurich. It fights for a world in which algorithms and Artificial Intelligence (AI) do not weaken justice, democracy, and sustainability but strengthen them. Within the organization, Clara covers algorithmic-decision making in the workplace and other topics.
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Nina Baranowska
Short bio
Nina Baranowska (she/her) is a Postdoctoral Researcher at iHub: Interdisciplinary research hub on digitalization and society at Radboud University. She completed her PhD in the EU and private law, and the Master of Laws Program in Law & Technology. Her research interests focus on legal challenges of AI and digital technologies, in relation to data protection, non-discrimination law, government liability, and product liability.
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Frederik Zuiderveen Borgesius
Short bio
Frederik Zuiderveen Borgesius is professor ICT and law. He works at the iHub (part of Radboud University), the interdisciplinary research hub on digitalization and society. His research mostly concerns fundamental rights, such as privacy and non-discrimination rights, in the context of new technologies. He regularly advises policymakers.
Web page
https://www.ru.nl/personen/zuiderveen-borgesius-f/ https://akademienl.social/@Frederik_Borgesius
Anna Monreale
Short bio
Anna Monreale is an associate professor at the Computer Science Department of the University of Pisa and a member of the Knowledge Discovery and Data Mining Laboratory (KDD-Lab), a joint research group with the Information Science and Technology Institute of the National Research Council in Pisa. Her research interests include big data analytics, social networks and the privacy issues raising in mining these kinds of social and human sensitive data. In particular, she is interested in the evaluation of privacy risks during analytical processes and in the design of privacy-by-design technologies in the era of big data.
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Daniela Rotelli
Short bio
Daniela Rotellii is a Post-doc researcher at the Department of Computer Science at the University of Pisa. Her studies are aimed at Learning Analytics/Educational Data Mining and in particular at the modelling of student behaviour while learning online.