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Masterclass: Artificial Intelligence: From Science to Ethics to Regulation with Raja Chatila, Emeritus Professor of Robotics, AI and Ethics at ISIR-CNRS and Sorbonne Université, Paris, France   Current AI systems are based on Machine Learning techniques that process data to build statistical models used to make decisions, to predict outcomes or to generate content. They have impressive performance and have...

Masterclass: Stereotypes, discriminations and racism - a cognitive approach with Lou Safra, Associate Researcher in Cognitive Sciences, at Sciences Po, CEVIPOF, CNRS, Paris, France   In this Masterclass, we will review the main psychological and neural mechanisms underlying discriminations. This will allow you to get keys to understand why discriminations are so common and prevalent despite efforts to reduce them...

Masterclass: The theory of Change and Response - Guidelines for Research on Population and Development in Africa with Yves Charbit, Emeritus Professor of Demography, Université Paris Cité, Paris, France   The topic of population and development covers a broad array of issues and questions in which demographic facts are embedded in economic, social, cultural, and political realms. Research must extend...

Masterclass: The Importance of Statistical Literacy within Research with Patricio Costa, Associate Professor at the Faculty of Psychology and Education Sciences of the University of Porto, Portugal Statistical literacy is increasingly vital in today’s data-driven world, enabling individuals to interpret and evaluate statistical information critically. This masterclass explores how statistical literacy supports informed decision-making across disciplines and enhances critical thinking...

Masterclass: A Science Beyond the Age of Machines? with Johannes Jäger, Freelance Philosopher, Researcher & Educator Associate Faculty, Complexity Science Hub, Vienna, Austria   The Age of Machines, modernity, is coming to an end. Our dream of total control over our world is falling apart. If there is one lesson to be learned from the complexity science revolution, this should...