25 min listen
Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
38 minutes
Released:
Feb 15, 2021
Format:
Podcast episode
Description
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. The complete show notes can be found at twimlai.com/go/456.
Released:
Feb 15, 2021
Format:
Podcast episode
Titles in the series (100)
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