Executive
Track: Decision & Risk Analysis
Cooperative Decision Making with Artificially Intelligent Agents and Humans
Monday, April 12, 1:45-2:25pm EDT
Addressing fake news, cybersecurity, and social media exploitation are just a few problems that require both the scale of machine learning and the insight of human experts. As organizations implement machine learning and data science capabilities into operations challenges and consideration of human interaction become consequential. Machines should behave consistently with humans’ risk preferences but on a large scale. However, when machines are uncertain they need to bring problems to expert humans. The trade-off of automation and human intervention is considered in this paradigm. The blending of concepts from decision analysis and machine learning are needed to address these considerations.
Isaac Faber
Isaac Faber
Chief Data Scientist of the U.S. Army’s Artificial Intelligence Task Force
Isaac is currently serving as the Chief Data Scientist of the U.S. Army’s Artificial Intelligence Task Force where he oversees the technical aspects of projects and development platforms. He was also the lead data scientist at U.S. Army Cyber Command and led the architecting and deployment of the first operational big data platform in the DoD. He has a Ph.D. from Stanford where he researched risk management in cybersecurity using AI and human cooperation.
