Emotional and cognitive trust in artificial intelligence: A framework for identifying research opportunities

被引:0
|
作者
Riley, Breagin K. [1 ]
Dixon, Andrea [2 ]
机构
[1] Univ Notre Dame, Notre Dame, IN 46556 USA
[2] Morgan State Univ, Morgan, MD USA
关键词
Artificial intelligence (AI); Trust; Healthcare; RACIAL BIAS;
D O I
10.1016/j.copsyc.2024.101833
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This article briefly summarizes trust as a multi-dimensional construct, and trust in AI as a unique but related construct. It argues that because trust in AI is couched within an economic landscape, these two frameworks should be combined to understand the dynamics of trust in AI as it is currently implemented. The review focuses on healthcare and law enforcement as two industries that have adopted AI in ways that do and do not engender trust from stakeholders. The framework is applied to both industries to highlight where and why varying trust in AI is observed. Then seven research questions are posed, and researchers are encouraged to test the proposed framework in other AI-reliant contexts, like education and employment.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Disaster risk and artificial intelligence: A framework to characterize conceptual synergies and future opportunities
    Thekdi, Shital
    Tatar, Unal
    Santos, Joost
    Chatterjee, Samrat
    RISK ANALYSIS, 2023, 43 (08) : 1641 - 1656
  • [42] A systematic review of research on emotional artificial intelligence in English language education
    Liu, Yuhan
    Zhang, Heng
    Jiang, Meilin
    Chen, Juanjuan
    Wang, Minhong
    SYSTEM, 2024, 126
  • [43] Artificial Intelligence Framework for Smart City Microgrids: State of the art, Challenges, and Opportunities
    Khan, Shahzad
    Paul, Devashish
    Momtahanyen, Parham
    Aloqaily, Moayad
    2018 THIRD INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING (FMEC), 2018, : 283 - 288
  • [44] Artificial Intelligence on Food Vulnerability: Future Implications within a Framework of Opportunities and Challenges
    Lugo-Morin, Diosey Ramon
    SOCIETIES, 2024, 14 (07):
  • [45] Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction
    Love, Peter E. D.
    Fang, Weili
    Matthews, Jane
    Porter, Stuart
    Luo, Hanbin
    Ding, Lieyun
    ADVANCED ENGINEERING INFORMATICS, 2023, 57
  • [46] Artificial intelligence and operations research. challenges and opportunities in planning and scheduling
    Gomes, CP
    KNOWLEDGE ENGINEERING REVIEW, 2000, 15 (01): : 1 - 10
  • [47] Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda
    Kshetri, Nir
    Dwivedi, Yogesh K.
    Davenport, Thomas H.
    Panteli, Niki
    INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2024, 75
  • [48] Artificial intelligence - challenges and opportunities for international HRM: a review and research agenda
    Budhwar, Pawan
    Malik, Ashish
    De Silva, M. T. Thedushika
    Thevisuthan, Praveena
    INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT, 2022, 33 (06): : 1065 - 1097
  • [49] EXPLORING OPPORTUNITIES AND RISKS OF ARTIFICIAL INTELLIGENCE RESEARCH FOR ISLAMIC ETHICAL GUIDELINES
    Nawi, Aliff
    Khamis, Nor Yazi
    Yaakob, Mohd Faiz Mohd
    Samuri, Mohd Al Adib
    Zakaria, Gamal Abdul Nasir
    AFKAR-JURNAL AKIDAH & PEMIKIRAN ISLAM-JOURNAL OF AQIDAH & ISLAMIC THOUGHT, 2023, 25 (02): : 1 - 34
  • [50] Ethical artificial intelligence framework for a good AI society: principles, opportunities and perils
    Pradeep Paraman
    Sanmugam Anamalah
    AI & SOCIETY, 2023, 38 : 595 - 611