How can we calmly approach a technology that is profoundly disrupting our organizations, our production systems, and our collective reference points?

In this conference, Gilles Babinet offers an introduction to AI: its history, its founding principles, and its most recent advances.

He invites us to reflect on the systemic nature of this technology, which compels us to rethink our production models, our modes of interaction, and our relationship to information, health, democracy, and more.
AI opens up many positive possibilities, research work, addressing structural imbalances, but it also carries significant risks : algorithmic bias, technological dependence, etc.

This conference provides concrete tools to understand, decide, and act in a world where AI is becoming omnipresent.

How can we make AI a credible lever for the environmental transition?

This conference lies at the core of Gilles Babinet’s work, developed in his book Green AI – Artificial Intelligence in the Service of the Climate.

He offers a lucid and committed perspective on the environmental challenges linked to AI: from the issue of Green IT, energy consumption, CO₂ emissions, resource extraction, to the more promising perspective of IT for Green, how technologies can directly drive the ecological transition.

Through concrete use cases in supply chains, housing, mobility, and industry, he demonstrates how AI can become a vector of environmental performance — provided it is accompanied by the necessary cultural, regulatory, and technical changes.

Faced with economic, social, and environmental challenges, how can we rethink industry in the age of AI?

At a time of strong momentum for reindustrialization, this conference explores the levers offered by Industry 4.0 to build a more competitive, sustainable, and resilient productive model.

Drawing on his experience with leading industrial players, Gilles Babinet highlights the contributions of new technologies, IoT, AI, machine learning, robotics, in transforming the maintenance, process optimization, and supply chain improvement, driving better operational performance.

He also demonstrates how the transformations enabled by digital tools will, in the long run, shift the spread of digital culture, innovative management models, and effective data governance.

How can businesses achieve an AI transformation that goes beyond simply adopting new technologies?

Gilles Babinet makes a clear observation: integrating AI into organizations is not just about deploying technological tools, but about transforming culture and governance — dimensions that often evolve more slowly than technology itself.

As siloed models become obsolete, he explores the conditions needed for platform-based approaches, effective data governance, and management models adapted to systemic technologies.

This conference outlines a profound reconfiguration where culture, governance, and technology must move together to unlock the full potential of AI.

AI is redefining the balance of power: how can we exist without being crushed or forced into alignment?

At a time of rising geopolitical tensions and growing risks for democracy, digital sovereignty is emerging as a crucial issue.

Gilles Babinet unpacks the power dynamics at play: the hegemony of American platforms, China’s rise, Europe’s dependencies, and the wars over data.
AI here appears both as a strategic lever of power and as a source of heightened vulnerability.

He examines the strategies deployed by major powers — investment, infrastructure, regulation — and questions Europe’s ability to assert itself in this new global digital order.

At a time when AI biases raise pressing ethical questions, how can we define the right frameworks without stifling innovation?

Gilles Babinet explores the growing tension between technological progress and ethical imperatives in the age of AI. As algorithmic systems penetrate sensitive domains, justice, education, health, media, a central question emerges: how can we safeguard fundamental values without holding back innovation? Algorithmic bias, model opacity, mass surveillance … these are challenges organizations can no longer afford to ignore.

Steering clear of both algorithmic fatalism and blind techno-solutionism, Gilles Babinet offers concrete keys to building ethical AI governance rooted in transparency and respect for fundamental rights.