Engineering Responsible AI课程简介：前往报名学习
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.
播放：64次，课程ID：4119553
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.
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美国国家工程院外籍院士，英国皇家工程院外籍院士，微软公司前执行副总裁，清华大学高等研究院双聘教授。他曾负责推动微软的整体AI战略以及公司中长期总体技术战略、策略以及前瞻性研究与开发工作，曾负责微软必应搜索和微软小娜等AI产品的全球研发工作，还曾担任微软亚洲研究院院长，领导公司工程团队的集成。