Towards a Systems-Level Approach to Fair ML with Sarah Brown

EPISODE 456
WATCH
Play Video
Join our list for notifications and early access to events

About this Episode

Today we're joined by Sarah Brown, an Assistant Professor of Computer Science at the University of Rhode Island. In our conversation with Sarah, whose research focuses on Fairness in AI, we discuss why a "systems-level" approach is necessary when thinking about ethical and fairness issues in models and algorithms. We also explore Wiggum: a fairness forensics tool, which explores bias and allows for regular auditing of data, as well as her ongoing collaboration with a social psychologist to explore how people perceive ethics and fairness. Finally, we talk through the role of tools in assessing fairness and bias, and the importance of understanding the decisions the tools are making.
Connect with Sarah
Read More

Thanks to our sponsor Pachyderm

Pachyderm is an enterprise-grade, open source data science platform that makes explainable, repeatable, and scalable machine learning and artificial intelligence possible. The platform brings together version control for data with the tools to build scalable end-to-end machine learning and artificial intelligence pipelines while empowering users to use any language, framework, or tool they want. The company is headquartered in San Francisco and is backed by Benchmark, M12, YCombinator and others.
Pachyderm Logo

Related Episodes

Related Topics

More from TWIML

Leave a Reply

Your email address will not be published.