IBM Trusted AI toolkits for Python combat AI bias

AI Explainability 360, aka AIX360, provides algorithms that cover the different dimensions of explainability of machine learning models and proxy explainability metrics. The extensible toolkit can help users understand how these models predict labels by various means throughout the AI application lifecycle. Algorithmic research is translated from the lab into actual practice for domains including finance, human capital management, education, and healthcare. The AIX360 toolkit was introduced on August 8, 2019 and can be downloaded from this link. You can access API docs at this link.