Is Society Ready for AI Ethical Decision Making? Lessons from a Study on Autonomous Cars

被引:9
|
作者
Caro-Burnett, Johann
Kaneko, Shinji
机构
[1] Hiroshima Univ, Grad Sch Humanities & Social Sci, Hiroshima, Japan
[2] Network Educ & Res Peace & Sustainabil NERPS, Higashihiroshima, Japan
关键词
Artificial Intelligence; Ethics; Self-Driving Cars; Social Preferences; WILLINGNESS-TO-PAY; REVEALED PREFERENCE; ROBOTS;
D O I
10.1016/j.socec.2022.101881
中图分类号
F [经济];
学科分类号
02 ;
摘要
We conduct two separate experiments to study the social acceptance of AI ethical decision making. In the first experiment, we test whether there is an "unfounded " fear of technology. We contrast two methods to measure this fear: an indirect method that measures preferences implicitly and a direct method that measures preferences explicitly. Direct questions show that humans have an aversion to AI; however, indirect questions show that humans are not averse to the implementation of new technologies. We provide a theory to identify the cause of this discrepancy: in addition to their own preferences, subjects largely weight social preferences in direct questions. In the second experiment, we study how humans react to different ways of introducing this new technology to society and find that part of the fear of AI may be related to trust in one's government. Our results show that although individuals do not have a bias against AI, its explicit discussion may generate antagonism.
引用
收藏
页数:13
相关论文
共 50 条
  • [42] Artificial intelligence at the bench: Legal and ethical challenges of informing-or misinforming-judicial decision-making through generative AI
    de la Osa, David Uriel Socol
    Remolina, Nydia
    DATA & POLICY, 2024, 6
  • [43] A moral decision-making study of autonomous vehicles: Expertise predicts a preference for algorithms in dilemmas
    Zhu, Anrun
    Yang, Shuangqing
    Chen, Yunjiao
    Xing, Cai
    PERSONALITY AND INDIVIDUAL DIFFERENCES, 2022, 186
  • [44] TrolleyMod v1.0: An Open-Source Simulation and Data Collection Platform for Ethical Decision-Making in Autonomous Vehicles
    Behzadan, Vahid
    Minton, James
    Munir, Arslan
    AIES '19: PROCEEDINGS OF THE 2019 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, 2019, : 391 - 395
  • [45] AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians' and midwives' perspectives on integrating AI-driven CTG into clinical decision making
    Dlugatch, Rachel
    Georgieva, Antoniya
    Kerasidou, Angeliki
    BMC MEDICAL ETHICS, 2024, 25 (01)
  • [46] AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians’ and midwives’ perspectives on integrating AI-driven CTG into clinical decision making
    Rachel Dlugatch
    Antoniya Georgieva
    Angeliki Kerasidou
    BMC Medical Ethics, 25
  • [47] Shared Surgical Decision Making in the Era of COVID-19: Lessons From Hurricane Katrina
    Erbele, Isaac D.
    Arriaga, Moises A.
    Nuss, Daniel W.
    OTOLARYNGOLOGY-HEAD AND NECK SURGERY, 2021, 164 (02) : 302 - 304
  • [48] Cui bono? Judicial decision-making in the era of AI: A qualitative study on the expectations of judges in Germany
    Dhungel, Anna-Katharina
    Heine, Moreen
    ZEITSCHRIFT FUER TECHNIKFOLGENABSCHAETZUNG IN THEORIE UND PRAXIS - TATUP, 2024, 33 (01):
  • [49] Exploring collaborative decision-making: A quasi-experimental study of human and Generative AI interaction
    Hao, Xinyue
    Demir, Emrah
    Eyers, Daniel
    TECHNOLOGY IN SOCIETY, 2024, 78
  • [50] Ethical safety of deep brain stimulation: A study on moral decision-making in Parkinson's disease
    Fumagalli, Manuela
    Marceglia, Sara
    Cogiamanian, Filippo
    Ardolino, Gianluca
    Picascia, Marta
    Barbieri, Sergio
    Pravettoni, Gabriella
    Pacchetti, Claudio
    Priori, Alberto
    PARKINSONISM & RELATED DISORDERS, 2015, 21 (07) : 709 - 716