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 Towards Trustworthy Assurance of AI Systems in the LLM Era Speaker (s):
Lei Ma
Associate Professor
The University of Tokyo, Japan
University of Alberta, Canada
| Date: Time: Venue: | | 23 December 2024, Monday 10:00am – 11:00am School of Computing &
Information Systems 2 (SCIS 2)
Level 3, Seminar Room 3-9
Singapore Management University
90 Stamford Road,
Singapore 178903 Please register by 22 December 2024. We look forward to seeing you at this research seminar. 
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About the Talk In recent years, deep learning-enabled systems have made remarkable progress, powering a surge in advanced intelligent applications. This growth and its real-world impact have been further amplified by the advent of large foundation models (e.g., LLM, Stable Diffusion). Yet, the rapid evolution of these AI systems often proceeds without comprehensive quality assurance and engineering support. This gap is evident in the integration of standards for quality, reliability, and safety assurance, as well as the need for mature toolchain support that provides systematic and explainable feedback of the development lifecycle. In this talk, I will present a high-level overview of our team's ongoing initiatives to lay the groundwork for Trustworthy Assurance of AI Systems and its industrial applications. About the Speaker Lei Ma is currently an Associate Professor with The University of Tokyo, as well as an associate professor with University of Alberta. His research centers around the interdisciplinary fields of human-centered trustworthy artificial intelligence (AI), software engineering (SE), and cyber-physical system (CPS) with a special focus on quality, reliability, safety, and security assurance, as well as the interpretation and human interactivity of and AI Systems. Many of his works were published in top-tier AI, software engineering, and security venues (e.g., TSE, TOSEM, ICSE, FSE, ASE, CAV, ICML, NeurIPS, AAAI, IJCAI, TDSC), among which four papers receive the ACM SIGSOFT Distinguished Paper Awards (ASE 16, ASE 18, ASE 18, FSE 23), and an annual best paper award of 2022 IEEE Transactions on Software Engineering (TSE 2022). More information about his recent activities can be found at https://www.malei.org. |
