Luis Oala
Together with his students and collaborators, Luis work at the intersection of uncertainty quantification, robustness and interpretability to understand and detect failure modes of deep neural networks.
Their mission is to develop methods, standards and software for AI auditing that will eventually allow the reliable application of AI technology even in high-stakes applications such as medicine.
For that purpose, Luis co-chair’s a group of more than 30 contributors from across the world working on data and AI solution assessment methods at the ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H) and co-organize a growing, open research network at aiaudit.org
