NVIDIA AI Podcast Ep. 44: Forget Polls, Here's What Street View, and AI, Can Tell You About How People Will Vote
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Dec 20, 2017 Timnit Gebru, a postdoctoral researcher at Microsoft and a Stanford AI Lab PhD graduate, dives into the intriguing intersection of AI and voting behaviors. She discusses how Google Street View data can predict demographic trends by analyzing vehicle types in neighborhoods. With a focus on the challenges of fine-grained image recognition and the ethics of AI, she emphasizes the need for fairness and accountability in algorithms. Gebru also shares fascinating insights from her research, underscoring the biases that can influence societal outcomes.
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The Subaru Story
- Noah Kravitz bought a used Subaru similar to other cars in his neighborhood.
- He joked that he finally belonged, highlighting the tendency to conform.
Street View Insights
- Timnit Gebru used Google Street View images to gain sociological insights.
- This approach uses publicly available images for data mining, offering a unique perspective.
Sourcing Car Images
- Timnit Gebru's team used Craigslist and Cars.com to source labeled car images.
- This innovative approach leveraged the detailed descriptions provided by car sellers.