Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617
Analysis
This article summarizes a podcast episode featuring Vinodkumar Prabhakaran, a Senior Research Scientist at Google Research. The discussion centers on Prabhakaran's research using Machine Learning (ML), specifically Natural Language Processing (NLP), to investigate social disparities. The article highlights his work analyzing interactions between police officers and community members, assessing factors like respect and politeness. It also touches upon his research into bias within ML model development, from data to the model builder. Finally, the article mentions his insights on incorporating fairness principles when working with human annotators to build more robust models.
Key Takeaways
- •The research uses NLP to analyze social interactions, such as those between police and community members.
- •The research investigates how bias can enter ML models during development.
- •The article emphasizes the importance of fairness when working with human annotators.
“Vinod shares his thoughts on how to incorporate principles of fairness to help build more robust models.”