51 min
David Stracuzzi, Defining Trusted Artificial Intelligence for the National Security Space CERIAS Weekly Security Seminar - Purdue University
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- Technology
For the past four years, Sandia National Laboratories has been conducting a focused research effort on Trusted AI for national security problems. The goal is to develop the fundamental insights required to use AI methods in high-consequence national security applications while also improving the practical deployment of AI. This talk looks at key properties of many national security problems along with Sandia's ongoing effort to develop a certification process for AI-based solutions. Along the way, we will examine several recent and ongoing research projects, including how they contribute to the larger goals of Trusted AI. The talk concludes with a forward-looking discussion of remaining research gaps. About the speaker: David manages the Machine Intelligence and Visualization department, which conducts cutting-edge research in machine learning and artificial intelligence for national security applications, including the advanced visualization of data and results. David has been studying machine learning in the broader context of artificial intelligence for over 15 years. His research focuses on applying machine learning methods to a wide variety of domains with an emphasis on estimating the uncertainty in model predictions to support decision making. He also leads the Trusted AI Strategic Initiative at Sandia, which seeks to develop fundamental insights into AI algorithms, their performance and reliability, and how people use them in national security contexts. Prior to joining Sandia, David spent three years as research faculty at Arizona State University and one year as a postdoc at Stanford University developing intelligent agent architectures. He received his doctorate in 2006 and MS in 2002 from the University of Massachusetts at Amherst for his work in machine learning. David earned his Bachelor of Science from Clarkson University in 1998.Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525.
For the past four years, Sandia National Laboratories has been conducting a focused research effort on Trusted AI for national security problems. The goal is to develop the fundamental insights required to use AI methods in high-consequence national security applications while also improving the practical deployment of AI. This talk looks at key properties of many national security problems along with Sandia's ongoing effort to develop a certification process for AI-based solutions. Along the way, we will examine several recent and ongoing research projects, including how they contribute to the larger goals of Trusted AI. The talk concludes with a forward-looking discussion of remaining research gaps. About the speaker: David manages the Machine Intelligence and Visualization department, which conducts cutting-edge research in machine learning and artificial intelligence for national security applications, including the advanced visualization of data and results. David has been studying machine learning in the broader context of artificial intelligence for over 15 years. His research focuses on applying machine learning methods to a wide variety of domains with an emphasis on estimating the uncertainty in model predictions to support decision making. He also leads the Trusted AI Strategic Initiative at Sandia, which seeks to develop fundamental insights into AI algorithms, their performance and reliability, and how people use them in national security contexts. Prior to joining Sandia, David spent three years as research faculty at Arizona State University and one year as a postdoc at Stanford University developing intelligent agent architectures. He received his doctorate in 2006 and MS in 2002 from the University of Massachusetts at Amherst for his work in machine learning. David earned his Bachelor of Science from Clarkson University in 1998.Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525.
51 min