Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125
Analysis
This article discusses an interview with Rob Munro, CTO of Figure Eight (formerly CrowdFlower), focusing on their Human-in-the-Loop AI platform. The platform supports various applications like autonomous vehicles and natural language processing. The interview covers Munro's work in disaster response and epidemiology, including text translation after the 2010 Haiti earthquake. It also touches on technical challenges in scaling human-in-the-loop machine learning, such as image annotation and zero-shot learning. Finally, it promotes Figure Eight's TrainAI conference.
Key Takeaways
- •Figure Eight's Human-in-the-Loop AI platform supports various applications, including autonomous vehicles and natural language processing.
- •The interview highlights the use of machine learning in disaster response and epidemiology, specifically text translation after the 2010 Haiti earthquake.
- •The discussion covers technical challenges in scaling human-in-the-loop machine learning, such as image annotation and zero-shot learning.
“We also dig into some of the technical challenges that he’s encountered in trying to scale the human-in-the-loop side of machine learning since joining Figure Eight, including identifying more efficient approaches to image annotation as well as the use of zero shot machine learning to minimize training data requirements.”