TSMC Fellow in AI, TSMC

Abstract: This talk explores the exciting world of AI-augmented digital transformation through the lens of a series of personal experiences. We'll begin by revisiting the transformative journeys of a few industry sectors, highlighting how technology reshaped them.

However, the path of integrating AI technologies presents its own set of challenges. The talk will delve into the complexities of:

• Uncertainty in AI models: Understanding the limitations and interpreting the outputs of various AI and machine learning models.
• The knowledge gap: Integrating context, common sense, and domain knowledge into the reasoning process of AI systems.
• Hallucinations in Generative AI: Addressing the potential for AI-generated outputs to deviate from reality, particularly with GenAI models.

These challenges pave the way for the most significant opportunity in this field: the systematic construction of “world models” serving as the foundation and providing the context and guardrails for successful augmenting digital transformation projects with AI technologies.

We will showcase the power of world models through real-world examples in Accounting & Auditing, Public Health, Supply Chain Planning, and Intelligent Manufacturing. By illustrating their practical applications, we'll demonstrate how these “world models” can unlock the true potential of AI-augmented transformation.

Finally, we'll explore the possibility of industry-wide collaboration in standardizing these world models, ultimately accelerating the progress of AI-augmented digital transformation across various sectors.

Dr. Chung-Sheng Li is currently a TSMC Fellow in the Corporate Planning Office with primary responsibility in driving digital transformation of supply chain planning and digital twin. Prior to joining TSMC, he was the Managing Director and Artificial Intelligence Lead for Trust in PwC Labs between June 2019 and November 2022 with a focus on driving AI-augmented next generation audit. Previously, he was the Global Research Managing Director of Artificial Intelligence for Accenture Operations between June 2016 and June 2019, with a focus on driving the development of new AI-enabled service offerings for Accenture Business Process Services. Prior to joining Accenture, he was with IBM Research between 1990 and 2016 holding various technical leadership positions in AI solutions, cybersecurity, next generation datacenter, and cloud computing. He received BS in Electrical Engineering from National Taiwan University, Taiwan, R.O.C., in 1984, and the MS and PhD degrees in Electrical Engineering and Computer Science from the University of California, Berkeley, in 1989 and 1991, respectively. He has authored or co-authored more than 150 patent or patent applications, and 170 journal and conference papers. He is an IEEE Fellow.