Human-Centered Transparency & Intelligibility in AI

To build machine learning systems that are reliable, trustworthy, and fair, we must be able to provide relevant stakeholders with an understanding of how these systems work. We take a human-centered approach to transparency, supporting responsible AI by working to enable all stakeholders—from designers, developers, and data scientists to policy makers and end users—to understand, monitor, and respond to the behavior of AI systems to the extent necessary to achieve their goals​.