人工智能的可持续性挑战和公民的监管偏好

IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Government Information Quarterly Pub Date : 2023-10-01 DOI:10.1016/j.giq.2023.101863
Pascal D. König , Stefan Wurster , Markus B. Siewert
{"title":"人工智能的可持续性挑战和公民的监管偏好","authors":"Pascal D. König ,&nbsp;Stefan Wurster ,&nbsp;Markus B. Siewert","doi":"10.1016/j.giq.2023.101863","DOIUrl":null,"url":null,"abstract":"<div><p>Following the idea that citizens' regulatory preferences matter for the acceptance and success of policy measures, this paper investigates citizens' support for the regulation of Artificial Intelligence (AI). The focus lies on the transparency and the ecological sustainability of AI as two key challenges tied to possible long-term impacts on societies. Findings from survey data representative of the German population show overall moderate to strong support for the government regulating AI. Perceived regulatory competence of policymakers is positively associated with citizens' support for soft regulation. Lower trust in tech companies is linked to a lower readiness to rely on soft regulation, but not to more demand for hard regulation. While regulatory preferences barely map on political conflict lines, people's future orientation emerges as a strong correlate of support for both hard and soft regulation. Citizens thus seem to perceive a clear sustainability dimension in the development and governance of AI.</p></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"40 4","pages":"Article 101863"},"PeriodicalIF":7.8000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0740624X23000631/pdfft?md5=1bca13a4ff06b79294feabef39bcda0e&pid=1-s2.0-S0740624X23000631-main.pdf","citationCount":"2","resultStr":"{\"title\":\"Sustainability challenges of artificial intelligence and Citizens' regulatory preferences\",\"authors\":\"Pascal D. König ,&nbsp;Stefan Wurster ,&nbsp;Markus B. Siewert\",\"doi\":\"10.1016/j.giq.2023.101863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Following the idea that citizens' regulatory preferences matter for the acceptance and success of policy measures, this paper investigates citizens' support for the regulation of Artificial Intelligence (AI). The focus lies on the transparency and the ecological sustainability of AI as two key challenges tied to possible long-term impacts on societies. Findings from survey data representative of the German population show overall moderate to strong support for the government regulating AI. Perceived regulatory competence of policymakers is positively associated with citizens' support for soft regulation. Lower trust in tech companies is linked to a lower readiness to rely on soft regulation, but not to more demand for hard regulation. While regulatory preferences barely map on political conflict lines, people's future orientation emerges as a strong correlate of support for both hard and soft regulation. Citizens thus seem to perceive a clear sustainability dimension in the development and governance of AI.</p></div>\",\"PeriodicalId\":48258,\"journal\":{\"name\":\"Government Information Quarterly\",\"volume\":\"40 4\",\"pages\":\"Article 101863\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0740624X23000631/pdfft?md5=1bca13a4ff06b79294feabef39bcda0e&pid=1-s2.0-S0740624X23000631-main.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Government Information Quarterly\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0740624X23000631\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Government Information Quarterly","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0740624X23000631","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 2

摘要

根据公民的监管偏好对政策措施的接受和成功至关重要的观点,本文调查了公民对人工智能(AI)监管的支持。重点在于人工智能的透明度和生态可持续性,这是与可能对社会产生的长期影响相关的两个关键挑战。来自代表德国人口的调查数据的结果显示,对政府监管人工智能的总体支持从温和到强烈。政策制定者的监管能力感知与公民对软监管的支持正相关。对科技公司的信任度较低,与依赖软监管的意愿较低有关,但与对硬监管的需求增加无关。尽管监管偏好在政治冲突线上几乎没有映射,但人们对未来的取向与对硬监管和软监管的支持有着很强的相关性。因此,公民似乎在人工智能的发展和治理中看到了一个明确的可持续性维度。
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
Sustainability challenges of artificial intelligence and Citizens' regulatory preferences

Following the idea that citizens' regulatory preferences matter for the acceptance and success of policy measures, this paper investigates citizens' support for the regulation of Artificial Intelligence (AI). The focus lies on the transparency and the ecological sustainability of AI as two key challenges tied to possible long-term impacts on societies. Findings from survey data representative of the German population show overall moderate to strong support for the government regulating AI. Perceived regulatory competence of policymakers is positively associated with citizens' support for soft regulation. Lower trust in tech companies is linked to a lower readiness to rely on soft regulation, but not to more demand for hard regulation. While regulatory preferences barely map on political conflict lines, people's future orientation emerges as a strong correlate of support for both hard and soft regulation. Citizens thus seem to perceive a clear sustainability dimension in the development and governance of AI.

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
Government Information Quarterly
Government Information Quarterly INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
15.70
自引率
16.70%
发文量
106
期刊介绍: Government Information Quarterly (GIQ) delves into the convergence of policy, information technology, government, and the public. It explores the impact of policies on government information flows, the role of technology in innovative government services, and the dynamic between citizens and governing bodies in the digital age. GIQ serves as a premier journal, disseminating high-quality research and insights that bridge the realms of policy, information technology, government, and public engagement.
期刊最新文献
Regulating generative AI: The limits of technology-neutral regulatory frameworks. Insights from Italy's intervention on ChatGPT A more secure framework for open government data sharing based on federated learning Does trust in government moderate the perception towards deepfakes? Comparative perspectives from Asia on the risks of AI and misinformation for democracy Open government data and self-efficacy: The empirical evidence of micro foundation via survey experiments Transforming towards inclusion-by-design: Information system design principles shaping data-driven financial inclusiveness
×
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