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.
During the Hi! PARIS Meet-Up on AI, Ethics & Regulations, Tiphaine Viard explored the impact of AI on society. She highlighted both the potential and challenges of AI, emphasizing that it is not just a technical innovation but deeply embedded in societal and ethical contexts.
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.
We are thrilled to welcome Austin Stromme at ENSAE Paris and Radu Dragomir at Telecom Paris as Hi! PARIS Chair Holders, bringing their expertise in AI, data science, and optimization methods to drive innovative research with impactful real-world applications.
The Executive Forum on Digital Innovation & Analytics (DIA) – October 11, 2024 will take place on October 11, 2024, organized by Xitong Li, Hi! PARIS Fellow.
The Hi! PARIS Meet Up! event organized by Hi! PARIS is about “AI, Ethics and Regulations”. Save-the date: October 17, 2024 (6:30-8:30 pm), hosted by our corporate donor Schneider Electric.
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.
The 2024 Hi! PARIS Symposium showcased the latest advancements in robotics and AI, with global experts discussing their societal impact, from healthcare to ethics and future trends.
Optimization for Machine Learning is in the spotlight of the Hi! PARIS Reading groups in October-December 2024, a scientific networking action gathering affiliates and corporate donors around important topics of the moment!
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.