Political ideology shapes support for the use of AI in policy-making

被引:0
|
作者
Gur, Tamar [1 ]
Hameiri, Boaz [2 ]
Maaravi, Yossi [1 ]
机构
[1] Reichman Univ, Adelson Sch Entrepreneurship, Herzliyya, Israel
[2] Tel Aviv Univ, Sch Social & Policy Studies, Tel Aviv, Israel
来源
FRONTIERS IN ARTIFICIAL INTELLIGENCE | 2024年 / 7卷
关键词
artificial intelligence (AI); political ideology; artificial intelligence in governance; technology acceptance; governance; ARTIFICIAL-INTELLIGENCE; BIAS; CONSERVATIVES; PERSONALITY; ACCEPTANCE; CHATGPT; IMPACT; CARE;
D O I
10.3389/frai.2024.1447171
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In a world grappling with technological advancements, the concept of Artificial Intelligence (AI) in governance is becoming increasingly realistic. While some may find this possibility incredibly alluring, others may see it as dystopian. Society must account for these varied opinions when implementing new technologies or regulating and limiting them. This study (N = 703) explored Leftists' (liberals) and Rightists' (conservatives) support for using AI in governance decision-making amidst an unprecedented political crisis that washed through Israel shortly after the proclamation of the government's intentions to initiate reform. Results indicate that Leftists are more favorable toward AI in governance. While legitimacy is tied to support for using AI in governance among both, Rightists' acceptance is also tied to perceived norms, whereas Leftists' approval is linked to perceived utility, political efficacy, and warmth. Understanding these ideological differences is crucial, both theoretically and for practical policy formulation regarding AI's integration into governance.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Feeling the love? How consumer's political ideology shapes responses to AI financial service delivery
    Riedel, Aimee
    Mulcahy, Rory
    Northey, Gavin
    INTERNATIONAL JOURNAL OF BANK MARKETING, 2022, 40 (06) : 1102 - 1132
  • [3] Autonomy and control: How political ideology shapes the use of artificial intelligence
    Cui, Yuanyuan
    Esch, Patrick
    PSYCHOLOGY & MARKETING, 2022, 39 (06) : 1218 - 1229
  • [4] Incorporating AI Methods in Micro-dynamic Analysis to Support Group-Specific Policy-Making
    Chang, Shuang
    Asai, Tatsuya
    Koyanagi, Yusuke
    Uemura, Kento
    Maruhashi, Koji
    Ohori, Kotaro
    PRIMA 2022: PRINCIPLES AND PRACTICE OF MULTI-AGENT SYSTEMS, 2023, 13753 : 122 - 138
  • [5] Tourists and AI: A political ideology perspective
    van Esch, Patrick
    Cui, Yuanyuan
    Das, Gopal
    Jain, Shailendra Pratap
    Wirtz, Jochen
    ANNALS OF TOURISM RESEARCH, 2022, 97
  • [6] Political Epistemology in Gender Policy-Making: The German Democratization of Expertise
    Kulawik, Teresa
    SOCIAL POLITICS, 2020, 27 (04): : 765 - 789
  • [7] Using interpretive political science to understand policy-making in practice
    Ball, Sarah
    AUSTRALIAN JOURNAL OF POLITICAL SCIENCE, 2024,
  • [8] Research challenges for the use of big data in policy-making
    Mureddu, Francesco
    Schmeling, Juliane
    Kanellou, Eleni
    TRANSFORMING GOVERNMENT- PEOPLE PROCESS AND POLICY, 2020, 14 (04) : 593 - 604
  • [9] Distressed Selling by Farmers: Model, Analysis, and Use in Policy-Making
    Gupta, Shivam
    Dawande, Milind
    Janakiraman, Ganesh
    Sarkar, Ashutosh
    PRODUCTION AND OPERATIONS MANAGEMENT, 2017, 26 (10) : 1803 - 1818
  • [10] Representative democracy and policy-making in the administrative state: is agency policy-making necessarily better?
    Krause, George A.
    JOURNAL OF PUBLIC POLICY, 2013, 33 (02) : 111 - 135