Guang Cheng
Professor at UCLA
Guang Cheng is a Professor of Statistics and Data Science, and leads the Trustworthy AI Lab at UCLA. The Trustworthy AI Lab at UCLA envisions AI 2.0 as being driven by trustworthiness, surpassing mere performance, and being built upon generative data, enhancing raw data. The lab develops data-centric tools, such as artificially generated tables, which enable privacy-preserving data sharing, with applications in digital marketing, finance, and healthcare sectors. On the theoretical front, the lab focuses on the emerging field of "Generative Data Science," which elucidates the underlying principles behind generative AI.
Sessions
Towards Trustworthy Data Collaborations in GenAI Era
This talk explores Trustworthy Data Collaboration in the GenAI era, focusing on how Data Clean House enables secure data sharing across industries such as digital marketing, finance, and healthcare. With GDPR compliance and privacy-preserving technologies like confidential computing, it ensures collaborations without compromising data privacy.