DeepCrowd: A Crowd-assisted Deep Learning-based Disaster Scene Assessment System with Active Human-AI Interactions
Total Funding to Date
- Dong Wang
Full title: CHS: Small: DeepCrowd: A Crowd-assisted Deep Learning-based Disaster Scene Assessment System with Active Human-AI Interactions
This project addresses the application of AI to disaster scene assessment (DSA). AI currently has limited success with DSA; this project investigates the problem of troubleshooting, tuning, and eventually improving AI algorithms by integrating human intelligence with machine learning.
The end result will be a DeepCrowd framework that can be used to guide the design, development, and implementation of future AI applications where human intelligence obtained from the crowd is integrated with AI learning models.
- National Science Foundation, 2021 – $499,786.00