IBM fairness toolkit aims to eliminate bias in data sets

IBM is announcing changes to its AI Fairness 360 toolkit to increase its functionality and make it available to a wide range of developers. AIF360 is an open source toolkit that contains over 70 fairness metrics and 11 state-of-the-art bias mitigation algorithms developed by the research community to help examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle. There's increased compatibility with popular data science tools scikit-learn and R. This includes the ability to swap in debiasing algorithms and fairness metrics, plus out-of-the-box support for datasets including Adult Census Income and Bank Marketing.… [Continue Reading]