Jessie J. Smith

Jessie J. SmithJessie J. SmithJessie J. Smith

Jessie J. Smith

Jessie J. SmithJessie J. SmithJessie J. Smith
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AI Ethics • ML Fairness • CS Ethics Education • AI Explainability • Participatory Design

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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 transparency. She is currently working on creating transparent algorithms and explanations to make recommender systems and other AI platforms 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 was recently 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.

Shortcuts

Resume That Needs to be Updated (pdf)Download
Academic CV (pdf)Download

Public Scholarship on Tech Ethics

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The Radical AI Podcast

Interviewing experts on the most pressing topics in AI Ethics while building a movement to address the societal issues embedded in AI systems.

Listen

SciFi in Real Life

Taking ethical dilemmas introduced in SciFi stories and applying them to contemporary issues with technology through the power of storytelling and case-studies.

Watch



Photos Courtesy of Jess ✌️