How Underspecification Presents Challenges for Machine Learning

Posted by Alex D’Amour and Katherine Heller, Research Scientists, Google Research Machine learning (ML) models are being used more widely today than ever before and are becoming increasingly impactful. However, they often exhibit unexpected behavior when they are used in real-world domains. For example, computer vision models can exhibit surprising sensitivity to irrelevant features, while natural language processing models can depend unpredictably on demographic correlations not directly indica...

Submit