Webinar: Advancing Safe and Trustworthy AI for Science: Understanding and Mitigating Threats to AI Data, Models, and Processes

-

Location: Virtual

Headshot of Prasanna Balaprakash, Director of AI Programs and Distinguished R&D Scientist at Oak Ridge National Laboratory.

CI Compass invites you to join us for the next installment in our webinar series: "Advancing Safe and Trustworthy AI for Science: Understanding and Mitigating Threats to AI Data, Models, and Processes" will be presented by Prasanna Balaprakash, Director of AI Programs and Distinguished R&D Scientist at Oak Ridge National Laboratory.

This webinar will be held on Monday, September 25, 2023, at Noon PT / 3 p.m. ET. 

Registration is free and required. 

Please register: here.

Presentation Overview: Within the framework of scientific research infrastructures, such as the NSF Major Facilities, the importance of maintaining the integrity, reliability, and trustworthiness of AI systems is paramount. In this talk, we will present the significance of safe and trustworthy AI, emphasizing the protection of AI data and models throughout their deployment and ongoing maintenance. We will discuss the transformative potential of federated learning in strengthening privacy and data integrity, highlight the crucial role of AI guardrails in ensuring model reliability, and the urgent demand for advanced validation and verification techniques for AI models. We will present both challenges and innovative solutions geared towards establishing a robust, transparent, and dependable AI framework, especially pertinent in the context of major research infrastructures.

Speaker Bio: Prasanna Balaprakash is the Director of AI Programs and Distinguished R&D Scientist at Oak Ridge National Laboratory, where he directs laboratory research, development and application of artificial intelligence and machine learning (AI/ML) to solve problems of national importance. His research interests span artificial intelligence, machine learning, optimization, and high-performance computing. He is a recipient of the U.S. Department of Energy's 2018 Early Career Award. Prior to joining Oak Ridge, He was a R&D lead and computer scientist at Argonne National Laboratory. He earned his Ph.D. from CoDE-IRIDIA at the Université Libre de Bruxelles in Brussels, Belgium, where he was a recipient of the European Commission's Marie Curie and Belgian F.R.S-FNRS Aspirant fellowships.