AI, Science and Society
Connections, Collectives, and Collaboration
More information at: https://aiconference.ip-paris.fr/program/
We are living in an era where computers are increasingly capable of performing tasks that, until recently, were thought to require human intelligence. From natural language understanding to decision-making, these advancements have reshaped our perceptions of what machines can achieve. However, framing AI technology as merely ‘human-like’ oversimplifies the reality of intelligence. Intelligence is not only a cognitive phenomenon but is also profoundly social. It is embedded in our science, societies, and cultures, arising through the intricate interactions among individuals, communities, and institutions.
AI holds the potential to enhance these forms of social intelligence, strengthening our collective capacity to tackle complex and emerging challenges while preserving and enriching the fabric of our shared humanity. This vision of AI as a tool for fostering collective intelligence is pivotal, particularly as global challenges—such as climate change, public health crises, and economic inequality—demand collaborative and interdisciplinary solutions. The aim is not to replace human intelligence but to augment it, enabling communities to thrive and societies to innovate in inclusive, equitable, and sustainable ways.
The concept of collective intelligence is deeply rooted in many areas of modern science. In disciplines such as physics, biology, and mathematics, studying phenomena emerging from the interactions of diverse entities has long been a cornerstone of research. Similarly, economics and the social sciences have focused on designing mechanisms, institutions, and systems that are both effective and resilient in complex and dynamic environments. These fields offer invaluable insights into how AI can be developed, deployed, and governed to serve the broader good.
The interdisciplinary conference “AI, Science, and Society: Connections, Collectives, and Collaboration” will provide a platform for exploring how AI can be informed by and contribute to understanding collective intelligence in science, economics, and beyond. By fostering dialogue between experts in AI, natural sciences, and social sciences, the conference seeks to highlight the synergies between these perspectives—not only to deepen our understanding of the current state of AI technology but also to shape its future development in a direction that aligns with societal values and priorities.
Pr. Michael Jordan
Professor in the Department of Electrical Engineering and Computer Science and the
Department of Statistics at the University of California, Berkeley / Inria
Among prominent speakers, Professor Philippe Aghion, Senior Fellow of the GW Competition & Innovation Lab will be speaking at the AI Conference to take place at the Institut Polytechnique de Paris:
Other speakers include:
Register and find more information at: https://aiconference.ip-paris.fr/about-the-conference/