--------------------------------------------------------------------------------- Daniel Manzano Quantum Thermodynamics and Computation Group University of Granada Facultad de Ciencias, Av. Fuentenueva s/n Granada 18071, Spain Phone: +34 958241000 Ext: 20569 https://ic1.ugr.es/members/dmanzano/
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From: Pablo Mesejo Santiago <pmesejo@go.ugr.es> Subject: [dasci-seminarios] DaSCI Seminar - This Week - Mariia Vladimirova - Causality and Fairness in AI Date: 10. November 2025 at 14:27:09 CET To: dasci@listas.ugr.es, dasci-seminarios@listas.ugr.es Cc: Mariia Vladimirova <m.vladimirova@criteo.com>
Dear DaSCI members,
Below you can find the information related to the DaSCI seminar which will take place this Wednesday (November 12th 2025).
Speaker: Mariia Vladimirova Title: Causality and Fairness in AI Online Room: https://oficinavirtual.ugr.es/redes/SOR/SALVEUGR/accesosala.jsp?IDSALA=22999... Password: 560550 Date: 12/11/2025 Time: 16:00 (Spanish time)
The following link can allow you to directly schedule this event, and save all this information, in your Google Calendar: https://calendar.app.google/m8KFJyUMGLwEoeHs9 <https://urldefense.com/v3/__https://calendar.app.google/m8KFJyUMGLwEoeHs9__;!!D9dNQwwGXtA!V-7Jrn_BE6wfiTVeQiETsUay2RwXyFAaeHfR7s7aRXgGXgdL4CXv5WJNqvzTJ1ctaPGBSb-exUMtw2hBpUX3v4W3Zs0$>
We encourage PhD students to participate in these events. In this regard, we will share a registration form during the talk, so students can register and certify their attendance to the corresponding PhD program.
As usual, the seminar will last around 1h (45 min. talk + 15 min. of questions).
Bio: Mariia Vladimirova is a senior researcher at Criteo AI Lab (Paris, France), and a member of Fairplay joint research team with Inria and ENSAE University. She bridges academic and industrial contexts, focusing on explaining and improving machine learning methods through probabilistic and causal statistical approaches. At Criteo, she leads initiatives on algorithmic fairness in online systems and provides expert consultation to policymakers on AI regulation. Mariia was named a Rising Star in AI Ethics 2025 by the Women in AI Ethics™ (WAIE) — a global initiative dedicated to increasing the recognition, representation, and empowerment of women in AI ethics. Beyond her research, she is a passionate advocate for gender diversity and inclusivity in technology. She actively organizes events that promote equitable opportunities and representation across the AI community, combining rigorous scientific inquiry with a commitment to building responsible and inclusive AI ecosystems.
Keywords: Causality · Fairness · Generative AI · Algorithmic Bias · Responsible Machine Learning · AI Ethics
Title: Causality and Fairness in AI
Abstract: Achieving fairness in artificial intelligence requires moving beyond correlations to uncover the causal mechanisms that drive biased outcomes. This talk explores how causal reasoning provides a principled framework for understanding and addressing unfairness in both predictive and generative AI systems. We will discuss recent developments that connect causal inference with fairness-aware modeling, showing how causal analysis can reveal sources of bias, guide data interventions, and support the design of models that produce equitable and reliable outcomes. By grounding fairness in causal reasoning, this work aims to provide a more robust theoretical and practical foundation for trustworthy AI.
We hope this talk will be of interest to you, and we look forward to seeing you on Wednesday.
Best, Pablo