Extensive evidence has shown that AI can entrench human and societal biases and deploy them at scale. And many algorithms are now being re-examined for illegal biases. So how do you remove bias and discrimination in the machine learning pipeline?

In this webinar you will learn the debiasing techniques that can be implemented using the open source toolkit AI Fairness 360.

AI Fairness 360 (AIF360, https://aif360.mybluemix.net/) is an extensible, open source toolkit for measuring, understanding, and removing AI biases. AIF360 is the first solution to bring together the most commonly used bias metrics, bias mitigation algorithms, and metric explainers from the top AI fairness researchers from industry and academia.

Trisha Mahoney is an AI Tech Evangelist for IBM with a focus on Fairness & Bias. Trisha has spent the past 10 years working on artificial intelligence and cloud solutions at several tech companies in the Bay Area, including (Salesforce, IBM, Cisco). Previously, Trisha worked for eight years as a data scientist in the field of chemical detection. She has a degree in Electrical Engineering and an MBA in Technology Management.

https://aif360.mybluemix.net/

https://aif360.slack.com/

http://ibm.biz/Bdqbd2

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