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BEGIN:VEVENT
DTSTAMP:20260114T163646Z
LOCATION:Meeting Room C4.3\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T150000
DTEND;TZID=Australia/Melbourne:20231213T151500
UID:siggraphasia_SIGGRAPH Asia 2023_sess207_artpl_143@linklings.com
SUMMARY:AI Nüshu: An Exploration of Language Emergence in Sisterhood Throu
 gh the Lens of Computational Linguistics
DESCRIPTION:Yuqian Sun (Computer Science Research Centre, Royal College of
  Art); Yuying Tang (Tsinghua University, Politecnico di Milano); Ze Gao (H
 ong Kong University of Science and Technology, Hong Kong Polytechnic Unive
 rsity); Zhijun Pan (Computer Science Research Centre, Royal College of Art
 ; Ubisoft); Chuyan Xu (New Drama Studio); Yurou Chen (SOAS, University of 
 London); Kejiang Qian (King's College London); Zhigang Wang (Tsinghua Univ
 ersity); Tristan Braud (Hong Kong University of Science and Technology); C
 hang Hee Lee (Affective Systems and Cognition Lab, Korea Advanced Institut
 e of Science and Technology (KAIST)); and Ali Asadipour (Computer Science 
 Research Centre, Royal College of Art)\n\nThis paper presents ``AI Nüshu,"
  an emerging language system inspired by Nüshu (women's scripts), the uniq
 ue language created and used exclusively by ancient Chinese women who were
  illiterate under a patriarchy society. In this interactive installation, 
 two artificial intelligence (AI) agents are trained in the Chinese diction
 ary and Nüshu corpus. By continually observing their environment and commu
 nicating with each other, these agents collaborate towards creating a comm
 on writing system to encode Chinese. It offers an artistic interpretation 
 of the creation of a non-western script from a computational linguistics p
 erspective, integrating AI technology with Chinese cultural heritage and a
  feminist viewpoint.\n\nRegistration Category: Full Access, Enhanced Acces
 s, Trade Exhibitor, Experience Hall Exhibitor\n\nSession Chair: Victoria S
 zabo (Duke University, ACM)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=artpl_143&sess=sess207
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