Conservatism predicts aversion to consequential Artificial Intelligence

被引:21
作者
Castelo, Noah [1 ]
Ward, Adrian F. [2 ]
机构
[1] Univ Alberta, Dept Mkt Business Econ & Law, Edmonton, AB, Canada
[2] Univ Texas Austin, Dept Mkt, Austin, TX 78712 USA
来源
PLOS ONE | 2021年 / 16卷 / 12期
关键词
POLITICAL CONSERVATISM; GENDER-DIFFERENCES; NEGATIVITY BIAS; RISK; PERCEPTION; NEEDS;
D O I
10.1371/journal.pone.0261467
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Artificial intelligence (AI) has the potential to revolutionize society by automating tasks as diverse as driving cars, diagnosing diseases, and providing legal advice. The degree to which AI can improve outcomes in these and other domains depends on how comfortable people are trusting AI for these tasks, which in turn depends on lay perceptions of AI. The present research examines how these critical lay perceptions may vary as a function of conservatism. Using five survey experiments, we find that political conservatism is associated with low comfort with and trust in AI-i.e., with AI aversion. This relationship between conservatism and AI aversion is explained by the link between conservatism and risk perception; more conservative individuals perceive AI as being riskier and are therefore more averse to its adoption. Finally, we test whether a moral reframing intervention can reduce AI aversion among conservatives.
引用
收藏
页数:19
相关论文
共 47 条
  • [1] PERCEIVED RISK AND ITS COMPONENTS - MODEL AND EMPIRICAL TEST
    BETTMAN, JR
    [J]. JOURNAL OF MARKETING RESEARCH, 1973, 10 (02) : 184 - 190
  • [2] Gender differences in risk taking: A meta-analysis
    Byrnes, JP
    Miller, DC
    Schafer, WD
    [J]. PSYCHOLOGICAL BULLETIN, 1999, 125 (03) : 367 - 383
  • [3] Task-Dependent Algorithm Aversion
    Castelo, Noah
    Bos, Maarten W.
    Lehmann, Donald R.
    [J]. JOURNAL OF MARKETING RESEARCH, 2019, 56 (05) : 809 - 825
  • [4] There is a blind spot in AI research
    Crawford, Kate
    Calo, Ryan
    [J]. NATURE, 2016, 538 (7625) : 311 - 313
  • [5] CLINICAL VERSUS ACTUARIAL JUDGMENT
    DAWES, RM
    FAUST, D
    MEEHL, PE
    [J]. SCIENCE, 1989, 243 (4899) : 1668 - 1674
  • [6] On the evolution of attitudes towards risk in winner-take-all games
    Dekel, E
    Scotchmer, S
    [J]. JOURNAL OF ECONOMIC THEORY, 1999, 87 (01) : 125 - 143
  • [7] Lay Perceptions of Selection Decision Aids in US and Non-US Samples
    Diab, Dalia L.
    Pui, Shuang-Yueh
    Yankelevich, Maya
    Highhouse, Scott
    [J]. INTERNATIONAL JOURNAL OF SELECTION AND ASSESSMENT, 2011, 19 (02) : 209 - 216
  • [8] Dietvorst BJ., 2016, MANAGE SCI, DOI [10.1287/mnsc.2015.2285, DOI 10.1287/MNSC.2015.2285]
  • [9] The political left rolls with the good and the political right confronts the bad: connecting physiology and cognition to preferences
    Dodd, Michael D.
    Balzer, Amanda
    Jacobs, Carly M.
    Gruszczynski, Michael W.
    Smith, Kevin B.
    Hibbing, John R.
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2012, 367 (1589) : 640 - 649
  • [10] Dermatologist-level classification of skin cancer with deep neural networks
    Esteva, Andre
    Kuprel, Brett
    Novoa, Roberto A.
    Ko, Justin
    Swetter, Susan M.
    Blau, Helen M.
    Thrun, Sebastian
    [J]. NATURE, 2017, 542 (7639) : 115 - +