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沈向洋雙聘教授聘任儀式暨“春風(fēng)講堂”系列講座第四講:Engineering Responsible AI學(xué)術(shù)活動(dòng)

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講座信息

時(shí)間:2020年3月5日9:00-10:10(北京時(shí)間)  2020年3月4日17:00-18:10(西雅圖時(shí)間)
主講人:沈向洋,清華大學(xué)高等研究院雙聘教授
方式:雨課堂直播;清華大學(xué)微博、清華大學(xué)抖音號(hào)、清華大學(xué)快手號(hào)、清華大學(xué)B站號(hào)同步對(duì)外直播。

講座內(nèi)容

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.

主講人介紹

沈向洋博士,計(jì)算機(jī)視覺和圖形學(xué)專家,美國國家工程院外籍院士,英國皇家工程院外籍院士,美國電氣與電子工程師學(xué)會(huì)(IEEE)院士,計(jì)算機(jī)協(xié)會(huì)(ACM)院士。1996年獲得美國卡內(nèi)基·梅隆大學(xué)計(jì)算機(jī)科學(xué)院博士后,加入微軟研究院。1999年回北京參與創(chuàng)立微軟中國研究院。在微軟期間,歷任微軟亞洲研究院院長(zhǎng),兼首席科學(xué)家;微軟全球資深副總裁,全球執(zhí)行副總裁。負(fù)責(zé)微軟人工智能的整體戰(zhàn)略和研發(fā)工作,包括必應(yīng)搜索,并領(lǐng)導(dǎo)世界首屈一指的計(jì)算機(jī)科學(xué)研究機(jī)構(gòu) - 微軟研究院。他對(duì)計(jì)算機(jī)和人工智能領(lǐng)域發(fā)展的貢獻(xiàn),得到業(yè)界和學(xué)術(shù)界的普遍公認(rèn)和推崇。

圖文提供單位:清華大學(xué)教務(wù)處