Why fairness matters in Machine Learning | Solenne Gaucher скачать в хорошем качестве

Why fairness matters in Machine Learning | Solenne Gaucher

How fair are machine learning algorithms? In this Hi! PARIS Summer School 2025 session, Solenne Gaucher (École polytechnique) introduces the key challenges of fair statistical learning. She explains why fairness is such a pressing issue in AI today, the trade-offs involved in enforcing fairness constraints, and why excluding sensitive attributes like gender or ethnicity can sometimes increase inequalities rather than reduce them. Solenne also highlights the misconceptions around algorithmic bias, the practical challenges of applying fairness in real-world systems, and shares advice for students eager to work on responsible AI. #FairAI #ResponsibleAI #MachineLearning