How Culture Shapes What People Want From AI

ArXiv Pub Date : 2024-03-08 DOI:10.1145/3613904.3642660
Xiao Ge, Chunchen Xu, Daigo Misaki, Hazel Rose Markus, Jeanne L Tsai
{"title":"How Culture Shapes What People Want From AI","authors":"Xiao Ge, Chunchen Xu, Daigo Misaki, Hazel Rose Markus, Jeanne L Tsai","doi":"10.1145/3613904.3642660","DOIUrl":null,"url":null,"abstract":"There is an urgent need to incorporate the perspectives of culturally diverse groups into AI developments. We present a novel conceptual framework for research that aims to expand, reimagine, and reground mainstream visions of AI using independent and interdependent cultural models of the self and the environment. Two survey studies support this framework and provide preliminary evidence that people apply their cultural models when imagining their ideal AI. Compared with European American respondents, Chinese respondents viewed it as less important to control AI and more important to connect with AI, and were more likely to prefer AI with capacities to influence. Reflecting both cultural models, findings from African American respondents resembled both European American and Chinese respondents. We discuss study limitations and future directions and highlight the need to develop culturally responsive and relevant AI to serve a broader segment of the world population.","PeriodicalId":513202,"journal":{"name":"ArXiv","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ArXiv","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3613904.3642660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

There is an urgent need to incorporate the perspectives of culturally diverse groups into AI developments. We present a novel conceptual framework for research that aims to expand, reimagine, and reground mainstream visions of AI using independent and interdependent cultural models of the self and the environment. Two survey studies support this framework and provide preliminary evidence that people apply their cultural models when imagining their ideal AI. Compared with European American respondents, Chinese respondents viewed it as less important to control AI and more important to connect with AI, and were more likely to prefer AI with capacities to influence. Reflecting both cultural models, findings from African American respondents resembled both European American and Chinese respondents. We discuss study limitations and future directions and highlight the need to develop culturally responsive and relevant AI to serve a broader segment of the world population.
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
文化如何影响人们对人工智能的需求
目前迫切需要将不同文化群体的观点纳入人工智能的发展。我们提出了一个新颖的研究概念框架,旨在利用独立和相互依存的自我与环境文化模型,扩展、重新想象和重新定位人工智能的主流愿景。两项调查研究为这一框架提供了支持,并初步证明了人们在想象其理想的人工智能时会运用自己的文化模式。与欧美受访者相比,中国受访者认为控制人工智能不那么重要,而与人工智能建立联系则更重要,并且更倾向于具有影响能力的人工智能。非裔美国受访者的调查结果与欧裔美国受访者和华裔受访者的调查结果相似,反映了这两种文化模式。我们讨论了研究的局限性和未来发展方向,并强调有必要开发适应不同文化、与之相关的人工智能,以服务于全球更广泛的人群。
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