Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context

no code implementations • 17 Jul 2020 • Ehsan Toreini, Mhairi Aitken, Kovila P. L. Coopamootoo, Karen Elliott, Vladimiro Gonzalez Zelaya, Paolo Missier, Magdalene Ng, Aad van Moorsel

As a consequence, we survey in this paper the main technologies with respect to all four of the FEAS properties, for data-centric as well as model-centric stages of the machine learning system life cycle.

BIG-bench Machine Learning Fairness