Explore the intersection of machine learning and Earth sciences in this 46-minute conference talk by David Hall at KDD2020. Delve into the potential applications and challenges of machine learning in addressing urgent global issues such as climate change and ocean acidification. Examine the strategic implications of AI in various domains, including warfare and geoengineering. Discover how machine learning can contribute to solving complex problems like protein folding and discuss the associated risks and ethical considerations. Gain insights into the role of information technology in shaping our approach to global challenges and consider the broader implications of integrating AI into Earth-related research and decision-making processes.
Overview
Syllabus
Introduction
What is Machine Learning
What should we do with Machine Learning
The urgency of these problems
The strategy problem
The showstoppers
Climate change
Ocean acidification
Global strategies
Starcraft
Implications to War
Geoengineering
Protein Folding
Machine Learning
Information Technology
Risks
Summary
Taught by
Association for Computing Machinery (ACM)
