Three Challenges AI Corporate Policies Should Address for Trustworthy AI

During the Hi! PARIS Meet-Up on AI, Ethics & Regulations, David Restrepo Amariles addressed the complexities of implementing trustworthy AI in corporate settings. He highlighted the challenges businesses face in aligning the potential of AI with real-world value creation, noting that while AI offers transformative opportunities, it also presents risks that must be carefully managed through strategic corporate policies.

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Hi! PARIS Career Fair, 14 Nov 2024

The Career Fair event organized by Hi! PARIS Center offers our students the opportunity to identify potential future internships and job opportunities in AI and Data Science, receive career advice, and engage in discussions with the participating companies and startups.

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The Emerging Science of Benchmarks: Moritz Hardt on AI’s Open-Ended Progress

This keynote, given by Moritz Hardt at the Hi! PARIS Summer School 2024, explores the role of benchmarks in artificial intelligence. Hardt talks about how benchmarks are key to guiding AI research and measuring progress in a field that is always changing. As AI grows, so do benchmarks, bringing up important questions about how to best measure and direct future developments.

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NEW MOOC: The AI Odyssey- History, Regulations and Impact: A European Perspective

Explore the world of AI with Hi! PARIS's latest MOOC, offering insights into AI’s origins, regulatory landscape, industry performance, and societal impact. This 4-week course, featuring expert-led videos and quizzes, is open to everyone, with no prerequisites. Gain a solid foundation in AI’s role in shaping the future of technology and society. Enroll today to start your journey into AI!

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ELLIS Doctoral Symposium 2024

Hi! PARIS proudly sponsors the ELLIS Doctoral Symposium, the annual highlight of the ELLIS PhD Program. This conference brings together ELLIS PhD students and peers to share knowledge in machine learning. This year's focus on "AI & Sustainability" explores how AI can address environmental challenges. The event offers a unique platform for research presentation, idea exchange, and networking among future AI leaders.

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Sacl-AI 4 Science Workshop

The Sacl-AI for Science Workshop brings together faculty, researchers, and students interested in applying machine learning to scientific problems. It introduces foundational ML topics for novices and provides a platform for researchers to present their work and network.

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Hi! PARIS WINS THE CALL FOR PROJECTS CLUSTER AI

Judged on its excellence regarding teaching, research, innovation and technological transfer, as well as on the variety of its training, the consortium led by HEC Paris and the Institut Polytechnique de Paris (École polytechnique, ENSTA, ENSAE, Telecom Paris, Telecom SudParis) and bringing together Inria, the CNRS, the Ecole Nationale des Ponts et Chaussées and the Université de Technologie de Troyes, wins the Project Call Cluster AI.

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