Hi! PARIS PhD student Sonia Mazelet has received the 2026 L’Oréal-UNESCO For Women in Science France Young Talents Award for her research applying artificial intelligence to the analysis of complex brain data.
AI systems are usually trained to optimize a goal. Accuracy. Reward. Performance. But Luiz Chamon argues that trustworthy AI requires something more explicit: requirements that define, from the beginning, what a system must also satisfy, from robustness and fairness to safety and prior knowledge. Luiz ChamonAssistant Professor and Hi! PARIS Chair Holder, École polytechnique (Institut Polytechnique de […]
We are pleased to highlight the appointment of Ioana Manolescu, Hi! PARIS Fellow and member of the Hi! PARIS Scientific Committee, to the prestigious Annual Chair in Computer Sciences and […]
We are pleased to highlight that Vicky Kalogeiton, researcher at the Computer Science Laboratory (LIX) at École Polytechnique, and a Hi! PARIS Fellow, has been awarded a prestigious European Research […]
Explainable AI promises to make black-box models easier to understand. But Gustau Camps-Valls argues that, in science, an explanation of a model can easily be mistaken for an explanation of the world itself. His alternative starts with a deceptively simple principle: think first, act second, model last. Gustau Camps-VallsProfessor in Electrical Engineering, Universitat de ValènciaHi! PARIS International Visiting […]
We are delighted to announce the Hi! PARIS’s annual career fair. Hi! PARIS wishes to offer students at all levels, including PhD candidates, an occasion to discover internships and job […]
The Hi! PARIS reading groups propose to study a topic using scientific articles on a theoretical and a practical point of view. The reading groups are opportunities of interaction between […]
We are proud to highlight the strong presence of Hi! PARIS researchers at ICML 2026, one of the world’s leading conferences in machine learning. This year, 42 papers involving Hi! PARIS […]
AI has made fake news easier to produce, but the deeper threat may lie elsewhere. Based on a Hi! PARIS Meet Up on AI and disinformation, this article explores how false content, emotional narratives, platform incentives, and declining trust interact to shape the future of public debate.
We are proud to introduce the newest cohort of Hi! PARIS Chairs, part of the Hi! PARIS Cluster 2030 initiative. Designed to foster long-term excellence in AI and data analytics, […]