Dr Doaa Abu-Elyounes is currently working at UNESCO on the ethics of artificial intelligence, she is also an Affiliated Researcher at the Berkman Klein Center for Internet and Society at Harvard University, and a Postdoctoral Researcher at the Ecole Normale Superieure in Paris. Doaa obtained her PhD from Harvard Law School. She researches the topic of algorithmic governance and the different ways to regulate artificial intelligence. Doaa focuses on algorithms deployed in the public sector and examines how general principles such as fairness, transparency and accountability can be interpreted in the context of the policy domain they are implemented in.
Doaa has extensive experience working on public policy at the national and international level. Prior to her work at UNESCO, she consulted the OECD on AI regulation and was involved in shaping their work on the matter. Previously, Doaa also worked at the Supreme Court of Israel as a law clerk; and at the Israeli Ministry of Justice as an advisor to the Director General of the Ministry.
Sihem Amer-Yahia is a Silver Medal CNRS Research Director and Deputy Director of the Lab of Informatics of Grenoble. She works on exploratory data analysis and fairness in job marketplaces. Before joining CNRS, she was Principal Scientist at QCRI, Senior Scientist at Yahoo! Research and Member of Technical Staff at at&t Labs. Sihem will be PC chair of ACM SIGMOD 2023. Sihem currently leads the Diversity&Inclusion initiative for the data management community.
Solon Barocas is a Principal Researcher in the New York City lab of Microsoft Research and an Adjunct Assistant Professor in the Department of Information Science at Cornell University. His research explores ethical and policy issues in artificial intelligence, particularly fairness in machine learning, methods for bringing accountability to automated decision-making, and the privacy implications of inference.
He is a member of the Fairness, Accountability, Transparency, and Ethics (FATE) research group at Microsoft Research and co-leads the initiative on Artificial Intelligence, Policy, and Practice (AIPP) at Cornell. He also co-founded the workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML) and later established the ACM conference on Fairness, Accountability, and Transparency (FAccT). Solon was previously a Postdoctoral Researcher at Microsoft Research as well as a Postdoctoral Research Associate at the Center for Information Technology Policy at Princeton University. He completed his doctorate at New York University.
Benedetta Brevini is a journalist, media activist and Associate Professor of communication at the University of Sydney. Before joining the academy she worked as journalist in Milan, New York and London for CNBC and RAI. She writes on The Guardian’s Comment is Free and contributes to a number of print and web publications including Index of Censorship, OpenDemocracy and the Conversation. She is the author of Public Service Broadcasting online (2013) and editor of Beyond Wikileaks (2013). Her latest volumes are Carbon Capitalism and Communication: Confronting Climate Crisis (PalgraveMacmillan, 2017), Climate Change and the Media (Peter Lang, 2018), and Amazon: Understanding a Global Communication Giant (Routledge, 2020). “Is AI good for the planet” (Polity,2021) is her newest work.
David Ríos Insua is Research Professor at ICMAT and member of the Spanish Royal Academy of Sciences. He is the AXA-ICMAT Chair in Adversarial Risk Analysis. Besides, he is Professor of Statistics and Operations Research at the Complutense University (on leave). He has been lecturer and researcher at the Universities of Manchester, Leeds, Purdue, Duke, Paris Dauphine, Aalto, Rey Juan Carlos University, University of Shanghai for Science and Technology and Universidad Politécnica de Madrid. He has been researcher at the International Institute for Applied Systems Analysis in Vienna, the Istituto di Matematica Applicata e Tecnologie Informatiche at Milano and the Statistical and Applied Mathematical Sciences Institute (Durham, NC), where he led two programs. His research work is focused on the fields of Decision Analysis, Negotiation Analysis, Bayesian Statistics and Risk Analysis and their applications to reservoir management, the protection of critical infrastructures, social robotics, electronic participation and, lately, adversarial machine learning, among others. His approach to research stems from real complex problems in decision-making, which lead to methodological innovations that often become new systems for supporting the decision-making process.