As artificial intelligence (AI) continues to reshape the way industries operate and societies evolve, strong leadership has never been more crucial. Beyond developing advanced technologies, the real challenge lies in guiding their integration responsibly and ensuring that future leaders are equipped to navigate complex ethical and societal challenges.
Recognizing the urgency and importance of these issues, Paris is set to host the first-ever International Data Science and AI Leadership Summit on May 19–20, 2025.
The event will take place at the American University of Paris, which is co-organizing the event with the Academic Data Science Alliance (ADSA). The event is supported by the UNESCO Chair in Artificial Intelligence and Human Rights, adding a layer of ethical oversight and global perspective to the summit.
The event is expected to bring together some of the world’s leading educators, innovators, and thought leaders to address key challenges and share best practices. The organizers also hope that the event will help foster a global network of AI leaders committed to the responsible use of data science and AI technologies.
A key feature of the International Data Science and AI Leadership Summit is its focus on “resilience” in data science and AI education. Unlike other events that mainly highlight technology, this summit looks at how academic programs can stay strong and flexible as technology, society, and politics evolve quickly.
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As the economy becomes increasingly driven by data, the demand for skills like machine learning (ML), data analysis, and critical thinking is rapidly growing. The attendees will have a platform to discuss how educational programs can better prepare the workforce, including fresh graduates, for careers in advanced industries and emerging technologies. The importance of adapting data science and AI curricula to align with evolving industry needs will also be a key focus area at the event.
Additionally, the attendees will also have the opportunity to exchange insights into what worked for them in their data science and AI initiatives. This may help them refine their approaches, avoid common pitfalls, and identify innovative solutions for common challenges they may face in their own programs.
We know that AI has moved well beyond the experimentation phase. Business leaders today are increasingly focused on the ROI of their AI initiatives, shifting their attention from pilots to scalable solutions. The attendees at the summit have the opportunity to address some of these key challenges from an academic and policy perspective, exploring how education and talent development must evolve to support AI at scale.
The keynote address at the event will be from Stefania Giannini, UNESCO Assistant Director-General for Education. Appointed to this role in May 2018, Giannini is recognized as the leading UN authority in the field of education.
In previous engagements, she has emphasized the importance of leveraging AI to broaden access to education while upholding human rights. Her keynote is anticipated to delve into these themes, offering insights into how AI can drive equitable and ethical advancements in education.
The summit features a session on AI and Data Tool Resiliency by John Shawe-Taylor, who is a professor of Computational Statistics and Machine Learning at University College London and Director of the International Research Centre on Artificial Intelligence (IRCAI).
Taylor’s session will focus on how data science and AI education can equip students to design tools that prioritize ethics, privacy, and societal impact while ensuring institutions have the resources to stay competitive.
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Yann Lechelle, co-founder and CEO of probabl.ai, will lead a session on workforce resiliency. probabel.ai is a French AI company that aims to democratize data science and machine learning. Lechelle’s session will explore how to upskill the future workforce in data science and AI, focusing on tech-driven learning and human-AI collaboration. The session will also dive into the dual challenge of preparing students while reskilling today’s professionals.
The International Data Science and AI Leadership Summit is exclusively an in-person event, with no hybrid or virtual participation. While individuals can express their interest in attending, access to the event is by invitation only.
Paris was also home to the AI Action Summit earlier this year. That event was attended by representatives from nearly 100 countries including major players like the US, China, and India. A key topic of discussion for that event was sustainable AI development while balancing national priorities. The leaders also explored approaches to AI regulations, clean energy initiatives, and promoting regional self-reliance within the AI sector.
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