Lecture presented by Denise Di Persio (University of Pennsylvania).
This session will cover concepts around the notion of data fairness. We begin with a discussion of general ethical principles, then apply those principles to research tasks in speech and natural language processing. These are manifested throughout the development, testing, deployment and post-deployment life cycle and include data diversity, bias and transparency. We also examine relevant laws and regulations impacting this research. We discuss strategies and resources for managing these concerns and explore potential use cases.