Jessie J. Smith (Jess) is a a PhD student at The University of Colorado Boulder researching machine learning and AI ethics with an emphasis on algorithmic fairness and bias. She is currently working on creating transparent algorithms and explanations to make recommender systems more "fair" for multiple stakeholders.
Jess is also co-host of The Radical AI Podcast (ranked in Top 30 Technology Podcasts on iTunes) discussing the most pressing issues of AI and society with world-renowned experts such as Ruha Benjamin and Timnit Gebru.
Jess is a graduate instructor for introductory Computer Science (in Python) at CU Boulder and is currently helping restructure the curriculum to include more case studies and ethical speculation for the unintended consequences of technology.
Check out Jess' open source repo for intro coding courses that includes 5 modules for teaching ethics and social science through the lens of coding!
Jess is co-advised Dr. Casey Fiesler and Dr. Robin Burke. She is a member of the Internet Rules Lab and That Recommender Systems Lab.
