Reliable and verifiable AI models

Professor: Zhouxing Shi

Description: Generally speaking, our research aims to make modern AI models more reliable and ideally also verifiable. This includes various aspects such as robustness, safety, verification, and reasoning. A Cal-Bridge scholar will work on a project relevant to evaluating or improving the reliability of AI models in an emerging task, and the project will be tailored for a student new to research.

Preferred Qualifications: 1) Strong interest and motivation in AI research, aligned with your future academic and career goals; 2) Basic knowledge in machine learning (equivalent to undergraduate-level machine learning coursework); 3) Coding ability in Python