Rachel Thomas
Director, Center for Applied Data Ethics, Data Institute, University of San Francisco
Co-founder, fast.ai
Rachel Thomas is the co-founder of fast.ai, which created the Practical Deep Learning for Coders course taken by over 200,000 students and which has been featured in The Economist, MIT Tech Review, and Forbes. She was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Rachel is a popular writer and keynote speaker on topics of data ethics, AI accessibility, and bias in machine learning.
Recent Events and Presentations
Can Algorithms Tackle the ‘Infodemic’?
ITIF's Center for Data Innovation hosted a discussion about the efficacy of using algorithms to moderate content, the role algorithms can play in addressing the infodemic, and the ways policymakers can support innovation in automated content moderation.
