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An open-source toolkit by Microsoft that allows AI practitioners to detect and correct the fairness of their AI systems. To optimize the trade-offs between fairness and model performance, the toolkit includes two components: an interactive visualization dashboard and bias mitigation algorithms <ref name=":0" />.

An open-source toolkit by Microsoft that allows AI practitioners to detect and correct the fairness of their AI systems. To optimize the trade-offs between fairness and model performance, the toolkit includes two components: an interactive visualization dashboard and bias mitigation algorithms <ref name=":0" />.

==== '''IBM AI Fairness 360''' ====

==== IBM AI Fairness 360 ====

An open-source toolkit by IBM that helps AI practitioners to easily check for biases at multiple points along their ML pipeline, using the appropriate bias metric for their circumstances. It comes with more than 70 fairness metrics and 11 unique bias mitigation algorithms <ref name=":1">IBM Developer Staff, "AI Fairness 360," IBM, 14 November 2018. [Online]. Available: <nowiki>https://developer.ibm.com/open/projects/ai-fairness-360/</nowiki>. [Accessed 28 July 2021].</ref>.

An open-source toolkit by IBM that helps AI practitioners to easily check for biases at multiple points along their ML pipeline, using the appropriate bias metric for their circumstances. It comes with more than 70 fairness metrics and 11 unique bias mitigation algorithms <ref name=":1">IBM Developer Staff, "AI Fairness 360," IBM, 14 November 2018. [Online]. Available: <nowiki>https://developer.ibm.com/open/projects/ai-fairness-360/</nowiki>. [Accessed 28 July 2021].</ref>.