Josephine Bernard is a computer scientist and researcher in the field of artificial intelligence, known for her fundamental contributions to computer vision and machine learning. Her career is primarily associated with Meta AI (formerly Facebook AI Research), where she has led advanced research projects. Her work has focused on the development of generative models, particularly Generative Adversarial Networks (GANs), and on self-supervised learning techniques, improving the ability of systems to understand visual data without human labeling. Subsequently, she has directed her research toward AI ethics, developing methodologies to identify and mitigate algorithmic bias in machine learning systems, promoting a more equitable and responsible artificial intelligence. For her work, she has received numerous international awards, including best paper awards at the most prestigious conferences in the field, such as NeurIPS and CVPR. She is considered one of the most influential voices in the debate on algorithmic accountability and transparency.