• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人们对自己使用与他人使用人工智能介导的交流工具有着不同的期望。

People have different expectations for their own versus others' use of AI-mediated communication tools.

作者信息

Purcell Zoe A, Dong Mengchen, Nussberger Anne-Marie, Köbis Nils, Jakesch Maurice

机构信息

LaPsyDÉ, Université Paris Cité, CNRS, Paris, France.

Center for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany.

出版信息

Br J Psychol. 2024 Sep 4. doi: 10.1111/bjop.12727.

DOI:10.1111/bjop.12727
PMID:39230876
Abstract

Artificial intelligence (AI) can enhance human communication, for example, by improving the quality of our writing, voice or appearance. However, AI mediated communication also has risks-it may increase deception, compromise authenticity or yield widespread mistrust. As a result, both policymakers and technology firms are developing approaches to prevent and reduce potentially unacceptable uses of AI communication technologies. However, we do not yet know what people believe is acceptable or what their expectations are regarding usage. Drawing on normative psychology theories, we examine people's judgements of the acceptability of open and secret AI use, as well as people's expectations of their own and others' use. In two studies with representative samples (Study 1: N = 477; Study 2: N = 765), we find that people are less accepting of secret than open AI use in communication, but only when directly compared. Our results also suggest that people believe others will use AI communication tools more than they would themselves and that people do not expect others' use to align with their expectations of what is acceptable. While much attention has been focused on transparency measures, our results suggest that self-other differences are a central factor for understanding people's attitudes and expectations for AI-mediated communication.

摘要

人工智能(AI)可以增强人际交流,例如,通过提高我们写作、语音或形象的质量。然而,人工智能介导的交流也存在风险——它可能会增加欺骗行为、损害真实性或引发广泛的不信任。因此,政策制定者和科技公司都在制定方法,以防止和减少人工智能通信技术潜在的不可接受的使用。然而,我们尚不清楚人们认为什么是可以接受的,或者他们对使用的期望是什么。借鉴规范心理学理论,我们研究了人们对公开和秘密使用人工智能的可接受性的判断,以及人们对自己和他人使用人工智能的期望。在两项具有代表性样本的研究中(研究1:N = 477;研究2:N = 765),我们发现,在交流中,人们对秘密使用人工智能的接受程度低于公开使用,但只有在直接比较时才会如此。我们的研究结果还表明,人们认为他人使用人工智能通信工具的频率会高于自己,而且人们并不期望他人的使用符合他们对可接受事物的期望。虽然人们大多关注透明度措施,但我们的研究结果表明,自我与他人的差异是理解人们对人工智能介导交流的态度和期望的核心因素。

相似文献

1
People have different expectations for their own versus others' use of AI-mediated communication tools.人们对自己使用与他人使用人工智能介导的交流工具有着不同的期望。
Br J Psychol. 2024 Sep 4. doi: 10.1111/bjop.12727.
2
Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation.从他人视角看数据:可视化他人期望对可视化解释的影响。
IEEE Trans Vis Comput Graph. 2018 Jan;24(1):760-769. doi: 10.1109/TVCG.2017.2745240. Epub 2017 Aug 29.
3
Humans feel too special for machines to score their morals.人类觉得自己太过特殊,以至于机器无法评判他们的道德。
PNAS Nexus. 2023 May 29;2(6):pgad179. doi: 10.1093/pnasnexus/pgad179. eCollection 2023 Jun.
4
Patients' Perceptions Toward Human-Artificial Intelligence Interaction in Health Care: Experimental Study.患者对医疗保健中人机交互的看法:实验研究。
J Med Internet Res. 2021 Nov 25;23(11):e25856. doi: 10.2196/25856.
5
Qualitative evidence synthesis informing our understanding of people's perceptions and experiences of targeted digital communication.定性证据综合分析有助于我们理解人们对定向数字通信的认知和体验。
Cochrane Database Syst Rev. 2019 Oct 23;10(10):ED000141. doi: 10.1002/14651858.ED000141.
6
Men's sociotechnical imaginaries of artificial intelligence for prostate cancer diagnostics - A focus group study.男性对前列腺癌诊断人工智能的社会技术想象——一项焦点小组研究。
Soc Sci Med. 2024 Apr;347:116771. doi: 10.1016/j.socscimed.2024.116771. Epub 2024 Mar 15.
7
Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic.人工智能在 COVID-19 大流行期间在医疗保健中的应用的驱动因素和社会影响。
PLoS One. 2021 Nov 22;16(11):e0259928. doi: 10.1371/journal.pone.0259928. eCollection 2021.
8
On manipulation by emotional AI: UK adults' views and governance implications.关于情感人工智能的操纵:英国成年人的观点及治理影响
Front Sociol. 2024 Jun 7;9:1339834. doi: 10.3389/fsoc.2024.1339834. eCollection 2024.
9
New and emerging technology for adult social care - the example of home sensors with artificial intelligence (AI) technology.成人社会关怀新技术——以具有人工智能 (AI) 技术的家庭传感器为例。
Health Soc Care Deliv Res. 2023 Jun;11(9):1-64. doi: 10.3310/HRYW4281.
10
Artificial Intelligence and Human Enhancement: Can AI Technologies Make Us More (Artificially) Intelligent?人工智能与人类增强:人工智能技术能否让我们变得更“智能”(人为地)?
Camb Q Healthc Ethics. 2024 Jan;33(1):76-88. doi: 10.1017/S0963180123000464. Epub 2023 Aug 30.