Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran
EPISODE 617
|
FEBRUARY
20,
2023
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About this Episode
Today we’re joined by Vinodkumar Prabhakaran, a Senior Research Scientist at Google Research. In our conversation with Vinod, we discuss his two main areas of research, using ML, specifically NLP, to explore these social disparities, and how these same social disparities are captured and propagated within machine learning tools. We explore a few specific projects, the first using NLP to analyze interactions between police officers and community members, determining factors like level of respect or politeness and how they play out across a spectrum of community members. We also discuss his work on understanding how bias creeps into the pipeline of building ML models, whether it be from the data or the person building the model. Finally, for those working with human annotators, Vinod shares his thoughts on how to incorporate principles of fairness to help build more robust models.
About the Guest
Vinodkumar Prabhakaran
Resources
- Paper: On Releasing Annotator-Level Labels and Information in Datasets
- Paper: Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
- Paper: Language from police body camera footage shows racial disparities in officer respect
- Paper: Detecting Institutional Dialog Acts in Police Traffic Stops
- Video: Hacking Your Mind | Living on Autopilot | Episode 101 | PBS
- Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395
- A Social Scientist’s Perspective on AI with Eric Rice - #511
- The Measure and Mismeasure of Fairness with Sharad Goel - #363

