Using Deep Learning and Google Street View to Estimate Demographics with Timnit Gebru
Published:Dec 19, 2017 00:54
•1 min read
•Practical AI
Analysis
This article discusses a podcast interview with Timnit Gebru, a researcher at Microsoft Research, focusing on her work using deep learning and Google Street View to estimate demographics. The conversation covers the research pipeline, challenges faced in building the model, and the role of social awareness, including domain adaptation and fairness. The interview also touches upon the Black in AI group and Gebru's perspective on fairness research. The article provides a concise overview of the research and its implications, highlighting the intersection of AI, social impact, and ethical considerations.
Key Takeaways
- •The research utilizes deep learning and Google Street View to estimate demographic makeup.
- •The project involves integrating Google Street View images, census data, and commercial car vendor data.
- •The discussion highlights the importance of social awareness, domain adaptation, and fairness in AI research.
Reference
“Timnit describes the pipeline she developed for this research, and some of the challenges she faced building and end-to-end model based on google street view images, census data and commercial car vendor data.”