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IP Paris and the Harvard Data Science Initiative Partner on Trustworthy AI

01 Oct. 2025 - 02 Oct. 2025
On October 1–2, 2025, Institut Polytechnique de Paris (IP Paris) and its interdisciplinary center Hi! PARIS hosted Professor Xiao-Li Meng (Harvard University), Founding Editor-in-Chief of the Harvard Data Science Review (HDSR). His visit marked a significant milestone in developing a leading international scientific collaboration on artificial intelligence.
IP Paris and the Harvard Data Science Initiative Partner on Trustworthy AI
IP Paris × Harvard Data Science Initiative: A Strategic Partnership

A key moment of the visit was the signing of a Memorandum of Understanding between IP Paris and the Harvard Data Science Initiative (HDSI).

HDSI reflects Harvard’s commitment to advancing the future of data science. It offers professional and executive education programs taught by faculty from diverse disciplines, combining cutting-edge methods with real-world applications. Its mission is to build practical expertise and promote the responsible use of data science.

This agreement formalizes the publication of a special issue of the Harvard Data Science Review dedicated to the theme: “Trustworthy AI at Scale.”

Within this partnership, IP Paris, through the expertise of Hi! PARIS, will lead the call for papers and coordinate the scientific review process, while HDSI will oversee editing, publication, and dissemination. A call for submissions will be launched in October 2025.

Lectures and Masterclasses: Advancing Data Science

During his visit, Professor Xiao-Li Meng delivered several major sessions, offering researchers and students an in-depth look at the scientific, ethical, and societal challenges of AI:

  • Wednesday, October 1: Masterclass #1 – Learning, Teaching, and Communication in the Age of AI: Wisdoms and Warnings from HDSR
  • Thursday, October 2: Keynote – No Free Lunch: From a Simultaneous (Machine) Learning Impossibility to Heisenberg’s Uncertainty Principle (session for researchers); Masterclass #2 – Privacy, Data Privacy, and Differential Privacy (for students and researchers)

These lectures provided a deep dive into the scientific, ethical, and societal issues raised by AI, at the crossroads of mathematics, statistics, data science, and the humanities and social sciences.

Building a Global Network for Responsible AI

This phase of collaboration and scientific dialogue builds on the visit to Harvard in March 2025 by Thierry Coulhon, Chair of the Executive Board of IP Paris, during a conference hosted by HDSI. That exchange laid the foundation for cooperation.

By combining Harvard’s international research network with IP Paris’s European leadership in AI, ethics, and trustworthy technologies, this partnership reinforces a shared ambition: to establish robust research frameworks and practices for responsible AI at scale.