A Distinguished Lecture on:

AI Metrology: Ensuring the Reliability of Artificial Intelligence


Abstract:

Currently, we are witnessing the “Age of AI,” where artificial intelligence (AI) is playing a major role in every aspect of our lives. As AI permeates our daily lives, the need for rigorous measurement and evaluation of AI systems becomes increasingly imperative. This talk delves into the emerging field of AI metrology, which aims to establish standardized methods for assessing the accuracy, reliability, and trustworthiness of AI models. We explore various perspectives on AI and discuss the challenges and opportunities associated with quantifying its effectiveness. By examining specific applications in healthcare and manufacturing, we highlight how AI can enhance metrology practices and contribute to more reliable and trustworthy AI-driven solutions. Key topics include uncertainty quantification, neuro-symbolic computing, and applications of AI for metrology in health care and manufacturing.


About Lecturer:

Dr. Ram D. Sriram is a Senior Science Advisor in the Information Technology Laboratory at NIST, where he previously led the Software and Systems Division. Before joining NIST, he served on the engineering faculty at MIT. His research spans artificial intelligence, knowledge-based systems, and health informatics. He is a Fellow of ACM, IEEE, and AAAS.


AI Metrology seminar flyer

AI Metrology: Ensuring the Reliability of Artificial Intelligence
  • Presents by: Dr. Ram D. Sriram
  • Location: Donald Bren Hall (DBH), Room 3011, UC Irvine Online via Zoom: Join the Zoom meeting ACM Distinguished Speaker Talk, co-hosted by the Information Systems Group (ISG) and the Institute for Future Health (IFH). Open to all. Light refreshments will be served.
  • Date: Friday, November 6, 2026
  • Time: 1:00–2:00 PM Pacific Time

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