Machine Learning and Game Theory for Social Impact

Explore the intersection of machine learning, game theory, and social impact in this 21-minute conference talk by Fei Fang from Carnegie Mellon University. Discover how innovative techniques are applied to address real-world challenges in security, environmental sustainability, and food security. Learn about the successful deployment of AI-driven solutions, including the US Coast Guard's protection of the Staten Island Ferry and the PAWS (Protection Assistant for Wildlife Security) system used in global conservation efforts. Gain insights into the application of these technologies in improving operational efficiency for non-profit organizations like 412 Food Rescue. Delve into topics such as wildlife protection, data challenges, patrol planning algorithms, and theoretical aspects of integrating machine learning and game theory for societal benefit.

Intro
Previous work
Wildlife Protection
Data Challenges
Results
Field test
Improved learning framework
Field test 2017
Patrol planning
Patrol planning algorithm
Probability distribution
Integration with Smart
Food Rescue
Optimization
Data Analysis
New Notification Scheme
Theoretical Aspects