TrustML: A Python package for computing the trustworthiness of ML models

Artificial Intelligence has become increasingly important for aiding human decision making in various fields such as healthcare, automotive industry, education, and economy. Hence, in the last years, the interest of researchers and practitioners on developing and deploying Machine Learning (ML) models that are trustworthy is increasing. In this paper, we present TrustML, a simple to use, extensible and yet comprehensive Python package that allows specifying and computing the trustworthiness of ML models meant to conform AI systems. This package may be used for evaluating ML model's trustworthiness either during their development process and in production environments to support the continuous monitoring of their trustworthiness, benefiting taking correction actions when needed.