Science Daily

Building explainability into the components of machine-learning models

Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand. Explanation methods ...
mccormick.northwestern.edu

Machine Learning From Day One

Standing amid hundreds of people in the rotunda of Chicago's iconic Museum of Science and Industry, Ritika Ghosh (MSR '23) felt her confidence building. Ghosh was teaching people of all ages about a ...
GeekWire

Seattle startup that helps companies protect their AI and machine learning code raises $35M

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Nate Bek on Jul 26, 2023 at 6:00 am ...
EurekAlert!

Building explainability into the components of machine-learning models

Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute to its prediction. For example, if a model ...