Autonomous Artificial Intelligence and Uncontemplated Hazards: Towards the Optimal Regulatory Framework

被引:2
|
作者
Kovac, Mitja [1 ]
机构
[1] Univ Ljubljana, Sch Econ & Business, Ljubljana, Slovenia
关键词
LIABILITY; INSURANCE; LAW;
D O I
10.1017/err.2021.28
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
The issue of super-intelligent artificial intelligence (AI) has begun to attract ever more attention in economics, law, sociology and philosophy studies. A new industrial revolution is being unleashed, and it is vital that lawmakers address the systemic challenges it is bringing while regulating its economic and social consequences. This paper sets out recommendations to ensure informed regulatory intervention covering potential uncontemplated AI-related risks. If AI evolves in ways unintended by its designers, the judgment-proof problem of existing legal persons engaged with AI might undermine the deterrence and insurance goals of classic tort law, which consequently might fail to ensure optimal risk internalisation and precaution. This paper also argues that, due to identified shortcomings, the debate on the different approaches to controlling hazardous activities boils down to a question of efficient ex ante safety regulation. In addition, it is suggested that it is better to place AI in the existing legal categories and not to create a new electronic legal personality.
引用
收藏
页码:94 / 113
页数:20
相关论文
共 50 条
  • [31] Shaping the Governance Framework towards the Artificial Intelligence from the Responsible Research and Innovation
    Zhang, Han
    Gao, Lu
    2019 IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND ITS SOCIAL IMPACTS (ARSO), 2019, : 213 - 218
  • [32] Generative Artificial Intelligence in Business: Towards a Strategic Human Resource Management Framework
    Chowdhury, Soumyadeb
    Budhwar, Pawan
    Wood, Geoffrey
    BRITISH JOURNAL OF MANAGEMENT, 2024, 35 (04) : 1680 - 1691
  • [33] Artificial Intelligence in Digital Marketing: Towards an Analytical Framework for Revealing and Mitigating Bias
    Reed, Catherine
    Wynn, Martin
    Bown, Robin
    BIG DATA AND COGNITIVE COMPUTING, 2025, 9 (02)
  • [34] Towards Positive Artificial Intelligence
    Correa Da Silva, Flavio S.
    AIXIA 2020 - ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 12414 : 359 - 371
  • [35] Artificial intelligence for regulatory science research
    Tong, Weida
    CLINICAL CANCER RESEARCH, 2021, 27 (05)
  • [36] Artificial intelligence in pharmaceutical regulatory affairs
    Patil, Ruchika S.
    Kulkarni, Samruddhi B.
    Gaikwad, Vinod L.
    DRUG DISCOVERY TODAY, 2023, 28 (09)
  • [37] Regulatory and Implementation Considerations for Artificial Intelligence
    Chen, Si
    Lobo, Brian C.
    OTOLARYNGOLOGIC CLINICS OF NORTH AMERICA, 2024, 57 (05) : 871 - 886
  • [38] Is regulatory science ready for artificial intelligence?
    Thomas Hartung
    Maurice Whelan
    Weida Tong
    Robert M. Califf
    npj Digital Medicine, 8 (1)
  • [39] Dilemma of the Artificial Intelligence Regulatory Landscape
    Wu, Weiyue
    Liu, Shaoshan
    COMMUNICATIONS OF THE ACM, 2023, 66 (09) : 28 - 31
  • [40] REGULATORY APPROACHES TO ARTIFICIAL INTELLIGENCE (AI)
    Covarrubias, Jersain Zadamig Llamas
    Enriquez, Olivia Andrea Mendoza
    Guerrero, Mario Graff
    REVISTA CHILENA DE DERECHO, 2022, 49 (03): : 31 - 62