講題：Trusted Intelligence: Building Safe AI Agents from RPA for Agentic Process Automation.(中文授課)

時間：2025/10/01 (Wed.)15:30~17:00

地點：工程四館 ED B27

 

講者姓名與簡歷： 鄭永斌Yung-Pin Cheng 教授

現職單位/職稱 : 伊斯酷軟體科技股份有限公司 / 共同創辦人&技術長

 

【講題大綱】

The rapid evolution of Robotic Process Automation (RPA) into Agentic Process Automation (APA) represents a paradigm shift in how enterprises approach digital transformation. Traditional RPA has streamlined repetitive tasks, but its rule-based nature limits adaptability in complex and dynamic environments. By embedding intelligence into software agents, organizations can achieve autonomous, context-aware decision-making while maintaining efficiency at scale. However, this shift raises pressing concerns around trust, safety, and responsible deployment.

This work explores the concept of Trusted Intelligence—a framework for developing AI Agents that are secure, reliable, and transparent. It emphasizes industry needs such as compliance with regulations, explainability of decisions, resilience against adversarial threats, and seamless integration with existing IT and operational ecosystems. Practical pathways are discussed for migrating from deterministic RPA workflows toward adaptive AI-driven agents that enhance productivity across industries including finance, healthcare, logistics, and manufacturing.

By aligning agentic automation with principles of safety and governance, enterprises can unlock new levels of innovation without sacrificing control or accountability. The vision of Trusted Intelligence ensures that AI Agents are not only powerful but also trustworthy, enabling organizations to embrace automation with confidence and prepare for a future of human-AI collaboration.

【講者簡介】

重要經歷： Computer Science, Ph.D, Purdue University 2000

國立中央大學資工系教授

科技部複審委員

經濟部中小企業 SBIR 委員

台積電顧問

鴻海中央單位新創辦公室顧問

友達軟體工程授課講師

研究領域：軟體工程、智慧製造工業 RPA流程自動化、AI Agent、人工智慧、 測試自動化、 DEVOPS 、物件導向分析與設計、程式碼理解與知識傳承