Trustworthy and Responsible AI Lab (TRAIL)

The Trustworthy and Responsible Artificial Intelligence Lab (TRAIL) is a Sorbonne Université joint research lab. Its aim is to study and address challenges linked to a generalized use of AI systems, in particular for a responsible and trustworthy use of AI. The lab is based in Paris, in the Pierre & Marie Curie Campus of Sorbonne Université, inside the LIP6, a Computer Science lab from Sorbonne Université and the CNRS (French National Center for Scientific Research). Concretely, TRAIL aims at fostering joint research projects, theoretical or applied, with the objective to produce knowledge, methods, and tools to support the development of explainable, interpretable, fair and trustworthy AI in companies, organizations, and society at large. TRAIL has an open approach with the publication of the acquired knowledge, the promotion of this knowledge and the availability of the methods and tools developed. TRAIL is also committed to building relationships with the scientific and academic communities. TRAIL research topics cover fairness assessment of AI systems and bias mitigation; explainability and interpretability of these systems (XAI); their robustness and safety, and the Human-AI systems interface (HCXAI). TRAIL also investigates AI governance in organizations.