IST Research Talk: "Trustworthy Machine Learning in the Era of Generative AI" – Jinghui Chen
Date & Time: September 05, 2024 from 12:00 PM - 01:15 PM
Location: E208 Westgate Building
Watch this talk below.
Join Assistant Professor Jinghui Chen "Trustworthy Machine Learning in the Era of Generative AI" as part of the IST Research Talks series.
Abstract: Generative AI models like ChatGPT have revolutionized data generation, information processing, and problem-solving across many fields. However, despite their impressive performance and vast potential, these models introduce significant challenges regarding trustworthiness, preventing us from reliably deploying them in real-world applications. This talk will explore the emerging trustworthiness challenges in the era of generative AI and share our approaches to addressing these issues. We will focus on two key areas: (1) evaluating and mitigating safety concerns in generative AI, and (2) steering the personality and behaviors of AI models. Additionally, we will touch upon other important directions surrounding the trustworthiness of generative AI.
About the Speaker: Jinghui Chen is an assistant professor in the College of Information Sciences and Technology. He earned his doctoral degree in computer science from UCLA in 2021, and a bachelor of science degree in electronic engineering and information science from the University of Science and Technology of China in 2015. Chen’s research interests broadly include theory and applications in different aspects of machine learning, with a particular focus on building efficient and trustworthy machine learning models. His current research explores trustworthiness and safety issues in large language models, security and privacy issues for other emerging machine learning models, and efficient optimization strategies for training large-scale foundation models and federated learning.