AI as a Child of Mother Earth: Regrounding Human-AI Interaction in Ecological Thinking

ArXiv Pub Date : 2024-03-11 DOI:10.1145/3613905.3644065
Chunchen Xu, Xiao Ge
{"title":"AI as a Child of Mother Earth: Regrounding Human-AI Interaction in Ecological Thinking","authors":"Chunchen Xu, Xiao Ge","doi":"10.1145/3613905.3644065","DOIUrl":null,"url":null,"abstract":"The anthropocentric cultural idea that humans are active agents exerting control over their environments has been largely normalized and inscribed in practices, policies, and products of contemporary industrialized societies. This view underlies a human-ecology relationship based on resource and knowledge extraction. To create a more sustainable and equitable future, it is essential to consider alternative cultural ideas rooted in ecological thinking. This perspective underscores the interconnectedness between humans and more-than-human worlds. We propose a path to reshape the human-ecology relationship by advocating for alternative human-AI interactions. In this paper, we undertake a critical comparison between anthropocentrism and ecological thinking, using storytelling to illustrate various human-AI interactions that embody ecological thinking. We also delineate a set of design principles aimed at guiding AI developments toward fostering a more caring human-ecology relationship.","PeriodicalId":513202,"journal":{"name":"ArXiv","volume":"25 35","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ArXiv","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3613905.3644065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The anthropocentric cultural idea that humans are active agents exerting control over their environments has been largely normalized and inscribed in practices, policies, and products of contemporary industrialized societies. This view underlies a human-ecology relationship based on resource and knowledge extraction. To create a more sustainable and equitable future, it is essential to consider alternative cultural ideas rooted in ecological thinking. This perspective underscores the interconnectedness between humans and more-than-human worlds. We propose a path to reshape the human-ecology relationship by advocating for alternative human-AI interactions. In this paper, we undertake a critical comparison between anthropocentrism and ecological thinking, using storytelling to illustrate various human-AI interactions that embody ecological thinking. We also delineate a set of design principles aimed at guiding AI developments toward fostering a more caring human-ecology relationship.
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
人工智能是地球母亲的孩子:以生态思维重新审视人类与人工智能的互动
以人类为中心的文化观念认为,人类是对其环境进行控制的积极主动者,这种观念已在很大程度上被规范化,并被刻印在当代工业化社会的实践、政策和产品中。这种观点是以资源和知识攫取为基础的人类-生态关系的基础。为了创造一个更加可持续和公平的未来,必须考虑植根于生态思维的其他文化理念。这种观点强调了人类与超人类世界之间的相互联系。我们提出了一条重塑人类与生态关系的道路,倡导人类与人工智能的替代性互动。在本文中,我们对人类中心主义和生态思维进行了批判性比较,用讲故事的方式说明了体现生态思维的各种人类-人工智能互动。我们还阐述了一套设计原则,旨在引导人工智能的发展,以促进更加关爱人类与生态的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Combining Transformer based Deep Reinforcement Learning with Black-Litterman Model for Portfolio Optimization TinyGC-Net: An Extremely Tiny Network for Calibrating MEMS Gyroscopes Short-Term Solar Irradiance Forecasting Under Data Transmission Constraints F2Depth: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis Efficient Constrained k-Center Clustering with Background Knowledge
×
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