科幻期望:公众对人工智能和道德经济变革的看法。

IF 3.3 2区 社会学 Q1 SOCIOLOGY
Ken Cai Kowalski
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引用次数: 0

摘要

通过78次访谈和12个焦点小组的研究,这项研究表明,科幻小说塑造了美国公众对人工智能经济后果的理解,让人们普遍担心有感知的机器可能会完全取代人类工人。尽管流行的信念经常被认为不重要或仅仅是无知,但我发现,这些关于人工智能有可能超越人类的“科幻预期”,也使得人们创造性地偏离了主流道德经济中关于市场公平的规范性判断。通过想象人工智能在劳动力市场中成为竞争对手的可能性,参与者以两种方式颠覆了道德应得和经济表现之间根深蒂固的新自由主义文化联系。预测“劳动力替代”的受访者担心,人工智能的卓越效率将使人类变得毫无价值,从而将经济生产力的道德合法性重新解释为一种存在的危险。另一些人则驳斥了这种威胁,他们用机器无法获得的神秘能力“迷惑”人类,这种能力比生产能力更有价值。尽管之前的研究主要集中在政治行为者有意影响公众对经济的判断,但这些发现表明,公众本身可以通过对人工智能自动化等社会状况的意想不到的、广泛的、甚至是科幻的解释,创造性地为道德经济的变化做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Science-Fictional Expectations: Public Beliefs About AI and Change in the Moral Economy.

Drawing on 78 interviews and 12 focus groups, this study shows that science-fiction shapes the US public's understandings about economic consequences from AI, informing widespread concerns that sentient machines might fully replace human workers. Though popular beliefs are frequently dismissed as unimportant or merely ignorant, I find that these "science-fictional expectations" about AI's potential to out-compete humans also enable creative departures from the prevailing moral economy of normative judgments about market fairness. By imagining the possibility of AI becoming a rival group-actor in the labor market, participants subverted deeply entrenched, neoliberal cultural associations between moral deservingness and economic performance in two ways. Respondents who anticipated "labor substitution" feared that AI's superior efficiency would render humanity worthless, thereby reinterpreting the moral legitimacy of economic productivity as an existential danger. Others refuted this threat by "enchanting" humanity with enigmatic capabilities said to be unattainable by machines and more valuable than productive capacity. Whereas prior work has focused on deliberate efforts by political actors to influence popular judgments about the economy, these findings show that the public itself can creatively contribute to change in the moral economy through its unexpected, wide-ranging, and even science-fictional interpretations of social conditions like AI automation.

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来源期刊
CiteScore
4.50
自引率
4.80%
发文量
72
期刊介绍: British Journal of Sociology is published on behalf of the London School of Economics and Political Science (LSE) is unique in the United Kingdom in its concentration on teaching and research across the full range of the social, political and economic sciences. Founded in 1895 by Beatrice and Sidney Webb, the LSE is one of the largest colleges within the University of London and has an outstanding reputation for academic excellence nationally and internationally. Mission Statement: • To be a leading sociology journal in terms of academic substance, scholarly reputation , with relevance to and impact on the social and democratic questions of our times • To publish papers demonstrating the highest standards of scholarship in sociology from authors worldwide; • To carry papers from across the full range of sociological research and knowledge • To lead debate on key methodological and theoretical questions and controversies in contemporary sociology, for example through the annual lecture special issue • To highlight new areas of sociological research, new developments in sociological theory, and new methodological innovations, for example through timely special sections and special issues • To react quickly to major publishing and/or world events by producing special issues and/or sections • To publish the best work from scholars in new and emerging regions where sociology is developing • To encourage new and aspiring sociologists to submit papers to the journal, and to spotlight their work through the early career prize • To engage with the sociological community – academics as well as students – in the UK and abroad, through social media, and a journal blog.
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