Me, myself and AI: How gender, personality and emotions determine willingness to use Strong AI for self-improvement

被引:1
作者
Renz, Sabrina [1 ]
Kalimeris, Jeanette [1 ]
Hofreiter, Sebastian [2 ]
Spoerrle, Matthias [1 ]
机构
[1] Seeburg Castle Univ, Seekirchen am Wallersee, Austria
[2] Univ Appl Management, Ismaning, Germany
关键词
Technology acceptance; Strong AI; (Self-)Improvement; Emotions; Biological sex gender; Personality; TECHNOLOGY ACCEPTANCE MODEL; BIG; 5; NEUROTICISM; ANXIETY; CYBORG; WOMEN; CARS;
D O I
10.1016/j.techfore.2024.123760
中图分类号
F [经济];
学科分类号
02 ;
摘要
With current technological advancements in AI pushing the boundaries of human-level capabilities, using general human-level artificial intelligence (i.e., Strong AI) holds potential for substantially improving human cognitive abilities. We examine individual-level antecedents of willingness to use Strong AI for improving human cognitive abilities. Two quantitative studies (N1 = 1446, N2 = 1090) reveal that gender and emotions have significant effects on the intention to use Strong AI for cognitive self-enhancement. Male (compared to female) participants demonstrate a higher willingness to use Strong AI for self-improvement. This difference can be explained partly by negative and independently by positive emotional reactions toward Strong AI. Neuroticism moderates the indirect effect via negative emotional reactions, such that sex differences in negative emotions diminish with higher levels of neuroticism. Our research findings provide first empirical evidence for demographic asymmetries regarding adoption intentions of Strong AI for cognitive self-improvement. We emphasize the importance of addressing sex differences through the management of positive as well as negative emotional responses and personality dispositions when designing equitable strategies for implementing Strong AI within our societies.
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页数:12
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共 81 条
  • [31] Hohenberger C., 2019, Financial Planning Review, V2, P1, DOI DOI 10.1002/CFP2.1047
  • [32] Not fearless, but self-enhanced: The effects of anxiety on the willingness to use autonomous cars depend on individual levels of self-enhancement
    Hohenberger, Christoph
    Spoerrle, Matthias
    Welpe, Isabell M.
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2017, 116 : 40 - 52
  • [33] How and why do men and women differ in their willingness to use automated cars? The influence of emotions across different age groups
    Hohenberger, Christoph
    Spoerrle, Matthias
    Welpe, Isabell M.
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2016, 94 : 374 - 385
  • [34] A RATIONALE AND TEST FOR THE NUMBER OF FACTORS IN FACTOR-ANALYSIS
    HORN, JL
    [J]. PSYCHOMETRIKA, 1965, 30 (02) : 179 - 185
  • [35] Personality traits and psychological well-being as moderators of the relationship between stressors and negative affect: A daily diary study
    Joshanloo, Mohsen
    [J]. CURRENT PSYCHOLOGY, 2023, 42 (18) : 15647 - 15657
  • [36] THE APPLICATION OF ELECTRONIC-COMPUTERS TO FACTOR-ANALYSIS
    KAISER, HF
    [J]. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1960, 20 (01) : 141 - 151
  • [37] Unlocking society's standings in artificial intelligence
    Kanzola, Anna - Maria
    Papaioannou, Konstantina
    Petrakis, Panagiotis
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 200
  • [38] Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence
    Kaplan, Andreas
    Haenlein, Michael
    [J]. BUSINESS HORIZONS, 2019, 62 (01) : 15 - 25
  • [39] What factors contribute to the acceptance of artificial intelligence? A systematic review
    Kelly, Sage
    Kaye, Sherrie-Anne
    Oviedo-Trespalacios, Oscar
    [J]. TELEMATICS AND INFORMATICS, 2023, 77
  • [40] Personality assessment with the NEO-Five-Factor Inventory:: The 30-item-short-version (NEO-FFI-30)
    Koerner, Annett
    Geyer, Michael
    Roth, Marcus
    Drapeau, Martin
    Schmutzer, Gabriele
    Albani, Cornelia
    Schumann, Siegfried
    Braehler, Elmar
    [J]. PSYCHOTHERAPIE PSYCHOSOMATIK MEDIZINISCHE PSYCHOLOGIE, 2008, 58 (06) : 238 - 245