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
相关论文
共 81 条
  • [1] Aguirre-Urreta M.I., 2010, Human Technology, V6, P155, DOI DOI 10.17011/HT/URN.201011173090
  • [2] Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges
    Aldoseri, Abdulaziz
    Al-Khalifa, Khalifa N. N.
    Hamouda, Abdel Magid
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (12):
  • [3] Not All Effects Are Indispensable: Psychological Science Requires Verifiable Lines of Reasoning for Whether an Effect Matters
    Anvari, Farid
    Kievit, Rogier
    Lakens, Daniel
    Pennington, Charlotte R.
    Przybylski, Andrew K.
    Tiokhin, Leo
    Wiernik, Brenton M.
    Orben, Amy
    [J]. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, 2023, 18 (02) : 503 - 507
  • [4] Bubeck S, 2023, Arxiv, DOI [arXiv:2303.12712, DOI 10.48550/ARXIV.2303.12712]
  • [5] Bunnett E.R., 2020, The Wiley Encyclopedia of Personality and Individual Differences: Personality Processes and Individual Differences, DOI [10.1002/9781119547174.ch207, DOI 10.1002/9781119547174.CH207]
  • [6] Gender and attitudes toward technology use: A meta-analysis
    Cai, Zhihui
    Fan, Xitao
    Du, Jianxia
    [J]. COMPUTERS & EDUCATION, 2017, 105 : 1 - 13
  • [7] Gendered AI: German news media discourse on the future of work
    Carstensen, Tanja
    Ganz, Kathrin
    [J]. AI & SOCIETY, 2025, 40 (02) : 877 - 889
  • [8] Intention to use robotic exoskeletons by older people: A fuzzy-set qualitative comparative analysis approach
    Chen, Ke
    Lou, Vivian Weiqun
    Cheng, Clio Yuen Man
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2023, 141
  • [9] Comrey, 1992, 1 COURSE FACTOR ANAL, P2, DOI [10.4324/9781315827506, DOI 10.4324/9781315827506-16]
  • [10] Conrad Erin C, 2019, AJOB Neurosci, V10, P35, DOI 10.1080/21507740.2019.1595771