Data Brew
Season 2, Episode 2

Data Ethics

Have you ever wondered how your purchasing behavior may reveal protected attributes? Or how data scientists and business play a role in combating bias? We discuss with Diana Pfeil recommendations to reduce bias and improve fairness, from SHAP to adversarial debiasing.

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Diana Pfeil

Diana Pfeil is a leader in machine learning and optimization with over 15 years of experience building data products. Currently, Diana serves as the head of research and development at Pex, the global trusted leader in digital rights technology. Prior to Pex, she was a staff data scientist at Honey (acquired by PayPal), where she focused on e-commerce, lending, and responsible AI efforts. She was also CTO at travel tech startup Lumo, an engineer at Amazon working on early recommendation and personalization systems, and adjunct professor teaching predictive modeling at CU Denver. She holds a PhD in Operations Research from MIT. She has a passion for the data community, and has been heavily involved in the machine learning community as an event organizer and speaker.

Denny LeePlayPlay hover00:05

Welcome to Data Brew by Databricks with Denny and Brooke. The series allows us to explore various topics in the data and AI community. Whether we’re talking about data engineering or data science, we interview subject matter experts to dive deeper into these topics. And while we’re at it, we’ll be enjoying our Morning Brew. My name is Denny Lee. I’m a developer advocate at Databricks, and one of the co-hosts of Data Brew.

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