Arvind Narayanan is a professor of computer science at Princeton. He co-authored a textbook on fairness and machine learning and is currently co-authoring a book on AI snake oil. He led the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. Narayanan co-created a Massive Open Online Course and textbook on Bitcoin and cryptocurrency technologies which has been used in over 150 courses worldwide. His work was among the first to show how machine learning reflects cultural stereotypes, and his doctoral research showed the fundamental limits of de-identification. Narayanan is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), twice a recipient of the Privacy Enhancing Technologies Award, and thrice a recipient of the Privacy Papers for Policy Makers Award.

Dr. Meike Zehlike received her PhD with predicate Summa Cum Laude from Humboldt-University in 2022. Her PhD research focussed on fairness and discrimination in rankings and search and was advised by Prof. Ulf Leser, Prof. Carlos Castillo (UPF Barcelona) and Prof. Krishna Gummadi (Max-Planck-Institut for Software Systems). Her dissertation contains several seminal and highly cited publications in the research field of fair rankings. She received various grants and awards for her research, such as the Humboldt prize for outstanding dissertations 2022, the Google Women Techmaker Award 2019, and the Data Transparency Research Grant 2017. Since 2019 she is also a member of the European League of Learning and Intelligent Systems. Today Meike works as a Senior Researcher at Zalando, as external lecturer at Humboldt University, and as a freelance consultant for ethical AI for the German labor unions and their works councils. In addition to her scientific work she is part of several initiatives that try to transfer scientific knowledge into practice and the general public: she regularly publishes newspaper articles, gives interviews in podcasts, newspapers, and documentaries, she gives a lot of invited talks at non-scientific events, aand contributes to the German AI standardization initiative.

Gianclaudio Malgieri is an Associate Professor of Law & Technology at Leiden University (the Netherlands), where he conducts research at the eLaw Center for Law and Digital Technologies. He serves as the Co-Director of the Brussels Privacy Hub, as an Associate Editor of Computer Law and Security Review, and he coordinates “VULNERA“, the International Observatory of Vulnerable People in Data Protection. He is also a Guest Professor at the Free University of Brussels (VUB) and an Affiliated Researcher at the Augmented Law Institute of the EDHEC Business School (Lille, France), an External Ethics Expert of the European Commission and an Advisory Board member of EPIC.org. He conducts research on and teaches Data Protection Law, privacy, AI regulation, Digital Law, Consumer protection in the digital market, Data Sustainability, Intellectual Property Law.

Angela Müller heads the work of AlgorithmWatch's Policy & Advocacy team and of AlgorithmWatch CH. Her policy focuses include the international level (Council of Europe), the EU level (AI Act) and the domestic level in Switzerland. Angela has testified as an expert before the German Bundestag and the Swiss Parliament and is a member of expert working groups for the Council of Europe and the Swiss Federal Administration. Angela studied political philosophy and holds a PhD in Law from the University of Zurich, where her research focused on the cross-border applicability of human rights law in the context of globalization and new technologies. She was a visiting researcher at Columbia University, New York, and Hebrew University, Jerusalem. Prior to her current role, she held positions at different universities, for an innovation platform, a civil society think tank on foreign policy, and the Federal Department of Foreign Affairs.