Science Festival – October 8: Round Table: When Artificial Intelligence Inherits Our Biases: A Conference to Understand and Act

Artificial intelligence (AI) is already shaping our lives: in our phones, our web searches, hiring decisions, and even healthcare. But did you know these machines can also… discriminate? Why can an AI reproduce sexist, racist, or class-based stereotypes? What happens when an algorithm, supposedly neutral, makes unfair decisions? And above all: what can we, as citizens, do to fix it? Free admission — in-person only

On 08/10/2025 at 12:15 to 13:45. Salle de conférence BU Sciences
Informations contact : Genoveva Vargas-Solar. genoveva.vargas-solar@liris.cnrs.fr.

Hosted by

Genoveva Vargas-Solar, Université Lyon 1, LIRIS, CNRS. Genoveva is a senior researcher at CNRS (LIRIS lab). She is a regular member of the Academia of Computing of Mexico. She promotes gender equality, diversity, and inclusion initiatives. She serves on gender-equality committees at LIRIS and Université Lyon 1 and is part of the inter-conference database D&I group. She organizes the workshop Data Science for Equality, Inclusion and Well-Being Challenges.

Guests

Houleymatou Baldé, Yeeso Association. A software development engineer, co-founder and president of the Yeeso association, Houleymatou works to accelerate the feminization of IT teams through actions spanning from kindergarten to the workplace. Franco-Guinean, she built her path from scratch, overcoming many obstacles to become a recognized leader in Tech today. A TEDx speaker and author of Yeeso, l’avenir de l’IT avec les femmes ! (2025), she regularly speaks at academic and professional events on equity, gender balance, and inclusive leadership.

John Samuel, CPE Lyon, Université de Lyon, LIRIS. John Samuel is a lecturer-researcher at CPE Lyon, where he teaches programming, data science, and AI. He is also an associate researcher at LIRIS. His current research focuses on 3D urban data analytics, knowledge graphs, and artificial intelligence. He is particularly interested in how diverse representations can enrich digital systems by valuing multilingual approaches, open data, and digital commons. Committed to ethical and inclusive technologies, he advocates for responsible AI serving society. He is an active contributor to Wikimedia projects, notably Wikidata and Wikimedia Commons, where he develops and shares experimental tools for the community. He also regularly shares content on open science, open education, open-source software, and accessible data. Passionate about reading, photography, and digital experimentation, he explores links between technology, culture, and civic engagement.

Nelly Barret, INSA Lyon, LIRIS. Nelly Barret has been an assistant professor at INSA Lyon and the LIRIS lab since September 2025. Her research interests lie at the intersection of heterogeneous data, interoperability, data exploration, and decentralized/federated learning. She applies her research in domains such as urban planning, journalism, and healthcare. She completed a postdoc at Politecnico di Milano (DEIB) from April 2024 to July 2025, working on federated analysis of heterogeneous health data. From 2021 to 2024 she earned her PhD at Inria Saclay (France) under Prof. Ioana Manolescu, on integration, summarization, and exploration of heterogeneous data. She obtained her Master’s in Computer Science from the University of Lyon in 2020. She has served on many program committees (including DBKDA 2025, ADBIS 2025, and the iSAILS 2025 workshop) and reviewed for more than ten conferences and journals.

Jey Puget Gil (subject to availability) — Temporary teaching and research fellow (ATER), Université Lyon 1; PhD-student representative on the LIRIS lab council. Focused on databases, Jey is committed to sharing knowledge and training computer-science students. Jey teaches at Université Claude Bernard Lyon 1, offering courses on schema modeling and database optimization. In parallel, Jey is pursuing a PhD in computer science on the evolution of knowledge in evolving cities.