With increasing regularity we see stories in the news about machine learning algorithms causing real-world harm to people’s lives and livelihoods.
Maureen McElaney examines 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’s a vibrant ecosystem of contributors working to build a digital future that’s inclusive and fair. Join in to learn how to become part of the solution.
Maureen McElaney is a developer advocate at the IBM Center of Open Source Data and AI Technologies, where she enjoys broadening IBM’s understanding and involvement in open source communities. Previously, she was a QA engineer at Dealer.com. An experienced community builder, founding her local chapter of Girl Develop It, she’s passionate about building tools that increase developer productivity and joy.
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