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 […]
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 […]
About the Hi!ckathon: The Hi!ckathon is a flagship AI and Data Science challenge organized by Hi! PARIS, the interdisciplinary center for data science and artificial intelligence. Open to students from Institut Polytechnique de […]
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 […]
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 […]
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.
Tuesday, June 9, 2026 — 6:00 PM to 9:00 PM Station F (Central Room), Paris As part of the Hi! PARIS Initiatives, a series designed to build thematic working groups […]
For 2026, we are welcoming eleven international visiting professors. Each will collaborate on a specific project in artificial intelligence or data science, hosted by a Hi! PARIS researcher.
Artificial intelligence is everywhere in the conversation about work. It is described as a revolution. A disruption. A threat. A productivity miracle. Yet when practitioners, economists, labor market researchers, and […]
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