Keynotes
David Engstrom
Freeman Engstrom is a far-ranging scholar of public law and the design and implementation of litigation and regulatory regimes.
At Stanford, Professor Engstrom co-directs the Stanford Center on the Legal Profession. He is also currently serving as Stanford Law School’s Associate Dean for Strategic Initiatives and, in that role, is leading an effort to shape the law school’s programs and offerings around law and digital technology. He is a faculty affiliate at CodeX: The Stanford Center for Legal Informatics, the Regulation, Evaluation, and Governance Lab (RegLab), and the Stanford Institute for Human-Centered AI, where he also chairs the Technology Policy Governance committee.
David Restrepo Amariles
Associate Professor of Data Law and Artificial Intelligence at HEC Paris.
Co-director of the SMART Law Hub (Scientific Mathematical, Algorithmic, Risk and Technology driven law) at the DATA IA Institute, and director of the project Smart Contracts and Regulatory Technologies at the Cyberjustice Lab, University of Montreal (ACT).
He currently serve as Chair of the Artificial Intelligence Group (SIG) at the American Academy of Legal Studies in Business and as a Fellow of the Perelman Centre. David’s research analyses the transformations of law and regulation in the global and digital society with a special focus on the fields of privacy, finance, international business transactions and corporate social responsibility.
Olivier Sibony
Olivier is Professor of Strategy at HEC Paris and Associate Fellow of Saïd Business School in Oxford University.
Previously, he spent 25 years with McKinsey & Company in France and in the U.S., where he was a Senior Partner. Olivier’s latest book, Noise: A Flaw in Human Judgment, co-authored with Daniel Kahneman and Cass R. Sunstein, has appeared on multiple bestseller lists worldwide, including the New York Times list. He is a knight in the French Order of the Légion d’Honneur.
Cesar A. Hidalgo
Chilean-Spanish-American scholar known for his contributions to economic complexity, data visualization, and applied artificial intelligence.
Hidalgo leads the
Center for Collective Learning at the Artificial and Natural Intelligence Institute (ANITI) of the University of Toulouse. He is also an Honorary Professor at the University of Manchester and a Visiting Professor at Harvard’s School of Engineering and Applied Sciences.
Hidalgo’s contributions have been recognized with numerous awards, including the 2018 Lagrange Prize and three Webby Awards. Hidalgo’s is also the author of dozens of peer-reviewed papers and of three books:
Why Information Grows
(Basic Books, 2015), The Atlas of Economic Complexity
(MIT Press, 2014), and How Humans Judge Machines (MIT Press,
2021).
Michalis Vazirgiannis
Michalis Vazirgiannis is a Professor at LIX, Ecole Polytechnique in France and leads the Data Science and Mining group (DaSciM).
His current research interests are on machine/deep learning and combinatorial methods for Graph analysis (including community detection, graph clustering, node embeddings and influence maximization), Text mining (including Graph of Words, word embeddings with applications to web advertising and marketing, event detection and summarization). Michalis lead the X/AXA Data Science Chair (2015-2018) and currently leads the ANR-HELAS chair on Deep Learning for heterogeneous data (graphs,text).
