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Comput Hum Behav Rep. 2020 Jan-Jul;1:100014. doi: 10.1016/j.chbr.2020.100014. Epub 2020 May 18.
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Service robots for affective labor: a sociology of labor perspective.用于情感劳动的服务机器人:劳动社会学视角
AI Soc. 2022;37(2):487-499. doi: 10.1007/s00146-021-01208-x. Epub 2021 Apr 28.
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Concerns About Automation and Negative Sentiment Toward Immigration.对自动化的担忧和对移民的负面情绪。
Psychol Sci. 2020 Aug;31(8):987-1000. doi: 10.1177/0956797620929977. Epub 2020 Jul 22.
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In the eye of the beholder: How proactive coping alters perceptions of insecurity.旁观者眼中的看法:积极应对如何改变对不安全感的认知。
J Occup Health Psychol. 2020 Dec;25(6):385-400. doi: 10.1037/ocp0000198. Epub 2020 Jun 1.
6
Toward understanding the impact of artificial intelligence on labor.迈向理解人工智能对劳动力的影响。
Proc Natl Acad Sci U S A. 2019 Apr 2;116(14):6531-6539. doi: 10.1073/pnas.1900949116. Epub 2019 Mar 25.
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Income inequality, perceived competitiveness, and approach-avoidance motivation.收入不平等、感知竞争力与趋近-回避动机。
J Pers. 2019 Aug;87(4):767-784. doi: 10.1111/jopy.12432. Epub 2018 Oct 4.
8
The psychology of social class: How socioeconomic status impacts thought, feelings, and behaviour.社会阶层心理学:社会经济地位如何影响思想、情感和行为。
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9
Progressive taxation, income inequality, and happiness.累进税制、收入不平等与幸福感。
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10
What can machine learning do? Workforce implications.机器学习能做什么?对劳动力的影响。
Science. 2017 Dec 22;358(6370):1530-1534. doi: 10.1126/science.aap8062.

在不平等社会中,机器人/人工智能是否被视为对劳动力的更大威胁?来自欧洲晴雨表调查的证据。

Are Robots/AI Viewed as More of a Workforce Threat in Unequal Societies? Evidence from the Eurobarometer Survey.

作者信息

Shoss Mindy K, Ciarlante Katherine

机构信息

University of Central Florida.

Australian Catholic University.

出版信息

Technol Mind Behav. 2022 Summer;3(2). doi: 10.1037/tmb0000078.

DOI:10.1037/tmb0000078
PMID:37351373
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10282729/
Abstract

Although advanced technologies (i.e., artificial intelligence (AI), robots) are often discussed as drivers of societal inequality, our research examines whether people living in more unequal societies tend to view technology as a greater threat to jobs in general. Building from research that societal inequality heightens concerns about status hierarchies and future resource attainment, we anticipated that workers in more unequal societies would tend to view AI/robots as greater threats (e.g., AI/robots as job destroyers). Utilizing the Eurobarometer 87.1 dataset, we found that country inequality, as operationalized via the Gini Index, was positively associated with perceptions that AI/robots pose threats of general job loss. These relationships occurred when controlling for people's perceptions of technological threat to their own personal job, technology skills and interests, and demographics. Moreover, these findings are robust across alternative operationalizations of inequality including the Human Inequality Index and people's subjective perceptions of current and future inequality in their country. These findings advance theory on inequality and suggest that the broader context-both objective and perceived-may play a role in how people view disruption associated with AI/robots at work.

摘要

尽管先进技术(如人工智能、机器人)常被视为社会不平等的驱动因素,但我们的研究探讨的是,生活在不平等程度更高的社会中的人们,是否总体上更倾向于将技术视为对工作的更大威胁。基于社会不平等会加剧对地位等级制度和未来资源获取的担忧这一研究,我们预计,生活在不平等程度更高的社会中的工人会更倾向于将人工智能/机器人视为更大的威胁(例如,将人工智能/机器人视为工作岗位的破坏者)。利用欧洲晴雨表87.1数据集,我们发现,通过基尼系数衡量的国家不平等程度与人们认为人工智能/机器人会造成普遍失业威胁的看法呈正相关。在控制了人们对自身工作的技术威胁感知、技术技能和兴趣以及人口统计学因素后,这些关系依然存在。此外,这些发现对于不平等的其他衡量方式(包括人类不平等指数以及人们对本国当前和未来不平等的主观感知)而言都是稳健的。这些发现推进了关于不平等的理论,并表明更广泛的背景——包括客观背景和感知背景——可能会影响人们如何看待与工作中的人工智能/机器人相关的破坏。