BIAS 2025

Fairness in Machine Learning continues to be a growing area of research and is perhaps now more relevant than ever, as the popularity of Generative Large Multimodal Models continues to grow, new AI-powered applications and tools are being widely used by the public, and legal regulations of AI/ML (e.g., the EU AI Act) are close to being adopted. While initial studies on fair ML and AI bias often focused on the technical aspects behind discriminatory algorithms and on treating fairness as an objective to be optimized, more recent work is recognizing the importance of looking at fairness from a broader perspective, taking legal and societal implications into account and involving different stakeholders in the design process of fair algorithms.