Interacting with Machine Learning


People interact with machine learning systems in many ways: they must build them, debug them, diagnose them, decide to trust them, gain insights on their data from them, etc. We are exploring this in both directions: How do we build machine learning tools into interactive data analysis in order to help people interpret large and complex data? How do we build interaction tools that can help people construct and diagnose machine learning models?