Digital Discrimination: Cognitive Bias in Machine Learning

Abstract: With increasing regularity we see stories in the news about machine learning algorithms causing real-world harm. People's lives and livelihood are affected by the decisions made by machines. Learn about how bias can take root in machine learning algorithms and ways to overcome it. From the power of open source, to tools built to detect and remove bias in machine learning models, there is a vibrant ecosystem of contributors who are working to build a digital future that is inclusive and fair. Now you can become part of the solution.

Bio: Maureen McElaney is a Developer Advocate at IBM Center of Open Source Data and Ai Technologies and enjoys broadening IBM's understanding and involvement in open source communities. Prior to joining the team, she worked as a QA Engineer at Dealer.com and is passionate about building tools that increase developer productivity and joy. She is an experienced community builder and is passionate about building diversity (of all kinds) in tech.