Time: Thursady, March 5, 2020 9:10-10:10 (Beijing time) / Wednesday, March 4, 2020 17:10-18:10 (Seattle time)
Location: Gong Zi Ting, Tsinghua University / Room 127, GIX Building, Seattle
Speaker: Harry Shum
Adjunct Professor, Institute for Advanced Study, Tsinghua Univeristy
International Member of the National Academy of Engineering, USA
International Member of the Royal Academy of Engineering, UK
IEEE Fellow, ACM Fellow
Former Executive Vice President, Microsoft Artificial Intelligence and Research Group
Recent achievements and advancements in AI have outpaced what anyone would have thought imaginable even five to ten years ago. For instance, we are fast approaching human parity across many areas of AI — speech, vision, language and knowledge. But many practitioners building AI technology and deploying AI products have not always thought through the societal implications such as fairness and transparency.
In this talk, Dr. Shum will discuss how we can best address these societal challenges before the next AI innovation and development cycle. Up to this point, the answer has centered on principles – guidelines to help companies and countries navigate the complexities and implications of AI. But principles alone are no longer enough—industry, academia and government need to take actions now to move from principles to practices. Dr. Shum will share what Microsoft AI and Research have been practicing, from doing research in explainable and interpretable AI, to leveraging useful tools like datasheets and checklists commonly used in other industries, to forming an internal AI ethics committee providing guidelines for shipping AI products, to sharing and learning best practices with other companies through the Partnership in AI.
Please scan the QR code to join the Rain Classroom live streaming and watch the lecture online.
