Jessie J. Smith
Boulder, Colorado, United States
Summary
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SeniorJessie Smith is a data scientist and PhD candidate specializing in responsible AI, trust and safety, and the ethics of machine learning with 11 years of industry and research experience. Currently leading responsible AI efforts at Spotify, she designs and evaluates interventions for platform safety and fairness-informed recommender systems. Her work bridges qualitative and quantitative methods—from interviewing practitioners and co-designing ethics playbooks to building evaluation scripts for generative AI harms at Adobe and AI2. Jessie co-founded The Radical AI Podcast, translating complex ethical debates into accessible conversations that reached over 100,000 downloads, and has published peer-reviewed research on operationalizing fairness in industry. Trained as a software engineer at Cal Poly and grounded in moral philosophy, she uniquely blends technical rigor with humanities-informed ethical reasoning to address value tensions in multistakeholder systems. Colleagues describe her as a connector who turns interdisciplinary insight into pragmatic, usable tools for safer AI.
12 years of coding experience
Github Skills (9)
training-data8
recommender-system4
python4
react-redux3
react2
redux2
facebook2
machine-learning2
mvc2
Programming languages (4)
Github contributions (5)
jesmith14/fairness-ml-tutorial
Jan 2018 - Sep 2020
Open Source tutorial for introductory data scientists to implement fairness models to correct for training data redundantly encoded with bias.
Contributions:94 commits, 4 PRs, 11 pushes in 2 years 7 months
training-data
jesmith14/personal-sentiment-analysis
Sep 2017 - Apr 2019
Contributions:10 commits, 9 pushes, 1 branch in 1 year 7 months
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