Transparency and Intelligibility Throughout the Machine Learning Life Cycle

People play a central role in the machine learning life cycle. Consequently, building machine learning systems that are reliable, trustworthy, and fair requires that relevant stakeholders—including developers, users, and anybody affected by these systems—have at least a basic understanding of how they work. In this webinar led by Microsoft researcher Jenn Wortman Vaughan, explore how to best incorporate transparency into the machine learning life cycle. Here, we will explore these three components of trans