Fairness for recommender system users can be evaluated for groups (e.g., based on users' demographic attributes) and for individuals (e.g., without considering their demographic attributes).

Applications are now open for the third edition of the Women in AI France Awards, celebrating women driving innovation, leadership and impact in AI.

Despite over 63% of the world's population speaking a primary language other than English, Large Language Models (LLMs) are overwhelmingly trained on English text. This results in a one-dimensional practice that causes serious societal harm beyond simple translation failures. That framing stayed with our study author, Karen Jensen. It also became the origin of this study.