当人工智能进入中国书法领域:即将到来的变革

IF 3.1 1区 社会学 Q1 GEOGRAPHY Geography Compass Pub Date : 2022-11-10 DOI:10.1111/gec3.12670
Zhijie Jiang, Jiayuan Yu, Yingying Jin, Anthony Ginn, Jianjun Chen, Guodong Sun
{"title":"当人工智能进入中国书法领域:即将到来的变革","authors":"Zhijie Jiang,&nbsp;Jiayuan Yu,&nbsp;Yingying Jin,&nbsp;Anthony Ginn,&nbsp;Jianjun Chen,&nbsp;Guodong Sun","doi":"10.1111/gec3.12670","DOIUrl":null,"url":null,"abstract":"<p>The rise of Artificial intelligence (AI) heralds potentially profound impact on the Chinese calligraphic landscape (CCL). Considering AI's increasing agential capacities, the anthropocentric conception of CCL that presupposes the priority of human identities, emotion, and creative work has been challenged. However, geographers remain quiet about AI-induced transformations up to date. To fill the research gap, this paper seeks to infuse more-than-human geographies into CCL. By taking a post-human approach, cultural geographers would have a novel understanding of human being in the creation of CCL. This paper initially discusses three prominent changes brought by deep learning (DL) in such landscape: a new ontological actor, transitory, and represented space. Responding to these transformations, the paper reconceptualizes the CCL as a post human term and unravels socio-spatial practices and diverse more-than-human geographies beneath such landscapes through three recent foci, namely robotic approaches to the CCL via DL, modeling experience brought about by AI, and human-AI collaboration for the creation of the CCL. Ultimately, this paper inspires geographers to profoundly comprehend CCLs in an era of AI. Through all these attempts, this paper advances insights into CCLs as more-than-humans-made.</p>","PeriodicalId":51411,"journal":{"name":"Geography Compass","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"When artificial intelligence comes to the Chinese calligraphic landscape: The coming transformation\",\"authors\":\"Zhijie Jiang,&nbsp;Jiayuan Yu,&nbsp;Yingying Jin,&nbsp;Anthony Ginn,&nbsp;Jianjun Chen,&nbsp;Guodong Sun\",\"doi\":\"10.1111/gec3.12670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The rise of Artificial intelligence (AI) heralds potentially profound impact on the Chinese calligraphic landscape (CCL). Considering AI's increasing agential capacities, the anthropocentric conception of CCL that presupposes the priority of human identities, emotion, and creative work has been challenged. However, geographers remain quiet about AI-induced transformations up to date. To fill the research gap, this paper seeks to infuse more-than-human geographies into CCL. By taking a post-human approach, cultural geographers would have a novel understanding of human being in the creation of CCL. This paper initially discusses three prominent changes brought by deep learning (DL) in such landscape: a new ontological actor, transitory, and represented space. Responding to these transformations, the paper reconceptualizes the CCL as a post human term and unravels socio-spatial practices and diverse more-than-human geographies beneath such landscapes through three recent foci, namely robotic approaches to the CCL via DL, modeling experience brought about by AI, and human-AI collaboration for the creation of the CCL. Ultimately, this paper inspires geographers to profoundly comprehend CCLs in an era of AI. Through all these attempts, this paper advances insights into CCLs as more-than-humans-made.</p>\",\"PeriodicalId\":51411,\"journal\":{\"name\":\"Geography Compass\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geography Compass\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/gec3.12670\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geography Compass","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/gec3.12670","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0

摘要

人工智能(AI)的兴起预示着对中国书法景观(CCL)的潜在深远影响。考虑到人工智能日益增长的代理能力,以人类身份、情感和创造性工作为先决条件的人类中心主义CCL概念受到了挑战。然而,迄今为止,地理学家对人工智能引发的变革保持沉默。为了填补这一研究空白,本文试图将超越人文的地理学注入CCL。文化地理学家采用后人类视角,将对CCL的创造过程中的人类有一个全新的认识。本文首先讨论了深度学习(DL)在这一领域带来的三个显著变化:新的本体论行动者、暂态空间和表征空间。针对这些转变,本文将CCL重新定义为一个后人类术语,并通过最近的三个焦点,即通过深度学习实现CCL的机器人方法,人工智能带来的建模经验,以及人类与人工智能合作创建CCL,揭示了这种景观下的社会空间实践和多样化的非人类地理。最终激发地理学家对人工智能时代ccl的深刻理解。通过所有这些尝试,本文提出了ccl不仅仅是人类制造的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
When artificial intelligence comes to the Chinese calligraphic landscape: The coming transformation

The rise of Artificial intelligence (AI) heralds potentially profound impact on the Chinese calligraphic landscape (CCL). Considering AI's increasing agential capacities, the anthropocentric conception of CCL that presupposes the priority of human identities, emotion, and creative work has been challenged. However, geographers remain quiet about AI-induced transformations up to date. To fill the research gap, this paper seeks to infuse more-than-human geographies into CCL. By taking a post-human approach, cultural geographers would have a novel understanding of human being in the creation of CCL. This paper initially discusses three prominent changes brought by deep learning (DL) in such landscape: a new ontological actor, transitory, and represented space. Responding to these transformations, the paper reconceptualizes the CCL as a post human term and unravels socio-spatial practices and diverse more-than-human geographies beneath such landscapes through three recent foci, namely robotic approaches to the CCL via DL, modeling experience brought about by AI, and human-AI collaboration for the creation of the CCL. Ultimately, this paper inspires geographers to profoundly comprehend CCLs in an era of AI. Through all these attempts, this paper advances insights into CCLs as more-than-humans-made.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Geography Compass
Geography Compass GEOGRAPHY-
CiteScore
6.00
自引率
6.50%
发文量
61
期刊介绍: Unique in its range, Geography Compass is an online-only journal publishing original, peer-reviewed surveys of current research from across the entire discipline. Geography Compass publishes state-of-the-art reviews, supported by a comprehensive bibliography and accessible to an international readership. Geography Compass is aimed at senior undergraduates, postgraduates and academics, and will provide a unique reference tool for researching essays, preparing lectures, writing a research proposal, or just keeping up with new developments in a specific area of interest.
期刊最新文献
The Legal Geographies of Contracts: A Method on Formation, Substance and Enforcement Disrupting the Chrononormativity of Geographies of Youth and Youth Studies: Learning From Infractions at the Border Defining Climate Finance Justice: Critical Geographies of Justice Amid Financialized Climate Action Issue Information Homelessness and Sofa-Surfing: Everyday Belonging, Mobilities, Identities and Morals in Hidden Spaces of Welfare
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1