籌委會主席李鍾熙表示,今年亞洲生技大會的主題是「危難中找尋生機」(Finding Cures in the Crisis)。他表示縱使疫情嚴峻,生技產業還是要努力經營下去;全球生技醫藥的共同合作益加重要。因而,籌委會決定在此產業界最需要尋求國際合作伙伴的時候,亞洲生技大會(BIO Asia-Taiwan 2020)仍將如期在7月22日至26日舉行,並以實體活動加線上的全新「實體在線」(Online + Live)方式接軌國際。
科技部於5/11日邀請臺灣大學人工智慧技術暨全幅健康照護聯合研究中心(以下簡稱臺大AI中心)轄下的徐宏民教授團隊,發表該團隊在科技部的支持下所開發出的可解釋性人工智慧(Explainable AI ,XAI)模組xCos,該模組除了具備高辨識率的人臉辨識能力外,還可有條理的解釋AI產出結果的原因。這項技術不僅可協助國內外相關業者開發AI辨識技術、明白AI決策建議背後的理由,更能提升人類對於使用AI的信任度。
徐宏民教授團隊在科技部的長期支持下,自2011年便開發出第一套行動裝置上的人臉搜尋系統,之後不斷自我挑戰包括跨年紀的臉部辨識能力、偽裝人臉辨識等,前於2018年在全球三大電腦視覺頂尖會議之一的CVPR偽裝人臉辨識競賽(Disguised Faces in the Wild)中,以辨識率唯一超過9成之姿,技壓群雄奪下全球冠軍。
陳良基部長補充,「可解釋性的人工智慧」無疑是國際上AI發展的重要目標,科技部已於去(2019)年9月公布人工智慧科研發展指引中強調AI的「透明性與可追溯性」及「可解釋性」;另歐盟今(2020)年2月份發表的人工智慧白皮書(WHITE PAPER On Artificial Intelligence – A European approach to excellence and trust)也提及缺乏信任是阻礙AI廣泛應用的主要原因,因此未來AI發展的重點須透過理解AI決策成因,來強化運作流程的透明度,進而讓普世大眾對AI感到信賴與安心。
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