AI in Humanitarian Assistance and Disaster Response
September 2019 • Podcast
Ritwik Gupta, a machine learning research scientist in the SEI’s Emerging Technology Center, discusses the use of AI in humanitarian assistance and disaster response (HADR) efforts.
“We are going to be working on finding what is new and what is next and just being ambassadors for bringing this world of AI and HADR together.”
Software Engineering Institute
In 2017 and 2018, the world witnessed a record number of climate and weather-related disasters including flooding, wildfires, and hurricanes. Government agencies are increasingly interested in the use of artificial intelligence (AI) to help first responders in locating survivors, identifying structures in satellite imagery, and removing debris after a disaster. In this SEI Podcast, Ritwik Gupta, a machine learning research scientist in the SEI’s Emerging Technology Center, discusses the use of AI in humanitarian assistance and disaster response (HADR) efforts.
About the Speaker
Ritwik Gupta is a machine learning research scientist at the Carnegie Mellon University Software Engineering Institute’s Emerging Technology Center. His research focuses on the intersection of machine learning and health, with many forays into the areas of robotics, adversarial learning, and computational linguistics. He is passionate about educating people about machine learning and the many cool and unique ways it can be applied to unorthodox problem domains.