Trustworthiness of Machine-Learning-Based Systems

TrustML facilitates development of trustworthy machine-learning-based systems, i.e., systems that are reliable, secure, explainable, and ethical. The cluster will examine trust-related requirements in several life-critical domains, including medicine and aerospace, and will investigate solutions for building trustworthy systems that professionals and the general public can reliably adopt. 

Campus
Vancouver