In this video from the HPC User Forum in Milwaukee, Michael Garris from NIST presents: The National Science & Technology Council ML/AI Initiative.
“AI-enabled systems are beginning to revolutionize fields such as commerce, healthcare, transportation and cybersecurity. It has the potential to impact nearly all aspects of our society including our economy, yet its development and use come with serious technical and ethical challenges and risks. AI must be developed in a trustworthy manner to ensure reliability and safety. NIST cultivates trust in AI technology by developing and deploying standards, tests and metrics that make technology more secure, usable, interoperable and reliable, and by strengthening measurement science. This work is critically relevant to building the public trust of rapidly evolving AI technologies.”
In contrast with deterministic rule-based systems, where reliability and safety may be built in and proven by design, AI systems typically make decisions based on data-driven models created by machine learning. Inherent uncertainties need to be characterized and assessed through standardized approaches to assure the technology is safe and reliable. Evaluation protocols must be developed and new metrics are needed to provide quantitative support to a broad spectrum of standards including data, performance, interoperability, usability, security, and privacy.
Michael Garris is a senior scientist and founder/chair of the Artificial Intelligence (AI) Community of Interest at the National Institute of Standards and Technology (NIST) where he has worked for the past 31 years with a technical focus in the areas of AI, image processing, pattern recognition, and biometrics. Mr. Garris serves on behalf of the Department of Commerce as co-chair for the President’s National Science and Technology Council’s (NSTC) Subcommittee on Machine Learning and Artificial Intelligence (ML/AI), and he served as member of the NSTC Networking and Information Technology Research and Development (NITRD) Subcommittee’s AI Task Force. In these roles, Mr. Garris co-authored two national strategy reports, “Preparing for the Future of Artificial Intelligence,” and “The National Artificial Intelligence Research and Development Strategic Plan.” For 7 years in his career, Mr. Garris was privileged to manage the world-class biometric research, standards, test, and evaluation Image Group in NIST’s Information Technology Laboratory (ITL). Mr. Garris continues to provide biometric and identity-related senior leadership and coordination within the Image Group, and he co-chairs the Interagency Forum on Biometrics and Identity (IFBId). He has a BS in Computer Science from Clarion University of Pennsylvania, and a MS in Computer Science from Johns Hopkins. In 2003, Mr. Garris was part of a biometrics team which received the Department of Commerce Gold Medal Award.
