How to operationalize AI ethics

Fairness ProjectLast week, I moderated a panel at TWIMLcon about how teams and organizations can operationalize responsible AI that combined perspectives from three people from different corners of the tech and AI community. Rachel Thomas is best known as cofounder of fast.ai, a popular free online deep learning course. In recent months, Thomas was named director of a new organization that mixes research, policy, and education called the Center for Applied Data Ethics at University of San Francisco. Guillaume Saint-Jacques is a senior software engineer at LinkedIn's Fairness Project, an applied research team that assesses the performance of the company's AI systems. Parinaz Sobhani is director of machine learning at Georgian Partners, an investor in SaaS startups with its own applied research lab to help portfolio companies apply machine learning.