Yu-Ting Kuo

Yu-Ting Kuo is a faculty member at MIT’s Sloan School of Management and National Tsing Hua University’s Department of Computer Science, where he teaches entrepreneurship and innovation in organizations, machine learning, and AI ethics. Kuo helps bridge the gap between academic theory and practical business acumen, preparing the next generation of business and technical leaders for success. His commitment to nurturing future leaders extends to his service as an independent director for non-profits and startups and as an Executive Board member at MIT Sloan, where he supports underrepresented minority students with endowed graduate fellowships.

As corporate vice president at Microsoft until his retirement in December 2021, Kuo pioneered Microsoft’s AI and machine learning cloud services, reporting directly to the company’s CTO and EVP of AI. He founded and led the company's cloud AI services and computer vision organizations in 2015 and 2018. Between 2013 and 2015, Kuo served as Technical Advisor to the EVP of AI and Research Group, where he led technical strategy, planning, incubation, and strategic prototyping. Kuo was also a founding member of Microsoft’s search engine, Bing.

In 2021, Kuo was recognized by Business Insider as one of the "11 power players leading artificial intelligence at Microsoft, helping guide CEO Satya Nadella’s grand pivot to AI." He also received the inaugural Asian American Luminary Award in Science and Engineering Innovation from the Chinese Institute of Engineers in 2018 for his groundbreaking work in cloud AI services. Kuo holds more than 10 US and international patents in search and AI technologies.

Kuo began his career as a strategy consultant at McKinsey & Company. He is an alumnus of National Tsing Hua University, the Massachusetts Institute of Technology, Harvard Business School, and the Wharton School of the University of Pennsylvania. In 2020, he was named a distinguished alumnus of the College of Science at National Tsing Hua University.

His current areas of interest include the ethics, safety, and governance of AI, as well as entrepreneurship and innovation management in large organizations.