Carnegie Mellon Leads NSF AI Institute for Societal Decision Making
Led by Carnegie Mellon University, the AI Institute for Societal Decision Making (AI-SDM) will improve the response to societal challenges such as disaster management and public health by creating human-centric AI tools to assist with critical decisions.
AI-SDM is one of seven AI institutes awarded today by the National Science Foundation. A five-year, $20 million commitment from the NSF will support the institute.
“The best applications of artificial intelligence in societal domains will come when we not only advance AI for decision-making, but also better understand human decision-making, and when we can bring the two together,” said Aarti Singh, a professor in the Machine Learning Department of CMU’s School of Computer Science, who will serve as the institute’s director. “Social scientists are studying human behavior. Machine learning researchers are developing new AI technologies to aid decision-making. For maximal impact of these technologies, we need to have social scientists and AI researchers collaborate to come up with solutions that will leverage AI capability while ensuring social acceptance.”