Weaponised Artificial Intelligence and Chinese Practices of Human-Machine Interaction

被引:7
|
作者
Qiao-Franco, Guangyu [1 ]
Bode, Ingvild [1 ]
机构
[1] Univ Southern Denmark, Ctr War Studies, Odense, Denmark
来源
关键词
BOURDIEU; NORMS;
D O I
10.1093/cjip/poac024
中图分类号
D81 [国际关系];
学科分类号
030207 ;
摘要
Weaponised artificial intelligence (AI) and the prospective development of lethal autonomous weapon systems (LAWS) are topics that have sparked international debate on retaining human control over the use of force. This article unpacks China's understanding of human-machine interaction to find that it encompasses many shades of grey. Specifically, despite repeatedly supporting a legal ban on LAWS, China simultaneously promotes a narrow understanding of these systems that intends to exclude such systems from what it deems "beneficial " uses of AI. We offer understandings of this ambivalent position by investigating how it is constituted through Chinese actors' competing practices in the areas of economy, science and technology, defence, and diplomacy. Such practices produce normative understandings of human control and machine autonomy that pull China's position on LAWS in different directions. We contribute to the scholarship bounded by norm research and international practice theories in examining how normativity originates in and emerges from diverse domestic contexts within competing practices. We also aim to provide insights into possible approaches whereby to achieve consensus in debates on regulating LAWS, which at the time of writing have reached a stalemate.
引用
收藏
页码:106 / 128
页数:23
相关论文
共 50 条
  • [31] Human-Machine Collaboration in Diagnostics: Exploring the Synergy in Clinical Imaging with Artificial Intelligence
    Pirrera, Antonia
    Giansanti, Daniele
    DIAGNOSTICS, 2023, 13 (13)
  • [32] Human-Machine Duality: What's Next in Cognitive Aspects of Artificial Intelligence?
    Raikov, Alexander N.
    Pirani, Massimiliano
    IEEE ACCESS, 2022, 10 : 56296 - 56315
  • [33] Hazards in human-machine interaction
    Spatz, Johannes
    Langstrof, Alexandra
    Technische Sicherheit, 2024, 14 (9-10): : 15 - 18
  • [34] Visual human-machine interaction
    Zelinsky, A
    ADVANCED TOPICS IN ARTIFICIAL INTELLIGENCE, 1999, 1747 : 440 - 452
  • [35] Biometrics in Human-Machine Interaction
    Shier, W. A.
    Yanushkevich, S. N.
    2015 INTERNATIONAL CONFERENCE ON INFORMATION AND DIGITAL TECHNOLOGIES (IDT), 2015, : 305 - 313
  • [36] Artificial Intelligence, Autonomy, and Human-Machine Teams: Interdependence, Context, and Explainable AI
    Lawless, W. F.
    Mittu, Ranjeev
    Sofge, Donald
    Hiatt, Laura
    AI MAGAZINE, 2019, 40 (03) : 5 - 13
  • [37] MORE THOUGHTS ON ARTIFICIAL REALITY - HUMANISTIC PERSPECTIVES ON HUMAN-MACHINE INTERACTION
    BARNES, RF
    PROCEEDINGS OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, 1984, 21 : 17 - 17
  • [38] THE POSSIBILITY OF MACHINE INTELLIGENCE AND THE IMPOSSIBILITY OF HUMAN-MACHINE COMMUNICATION
    GELEPITHIS, PAM
    CYBERNETICA, 1991, 34 (04): : 255 - 268
  • [39] Exploring the Caricature Style Identification and Classification Using Convolutional Neural Network and Human-Machine Interaction Under Artificial Intelligence
    Wang, Li
    Kim, Jaewoong
    INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS, 2022, 19 (03)
  • [40] MEANINGFUL HUMAN-MACHINE INTERACTION: SOME SUGGESTIONS FROM THE PERSPECTIVE OF AUGMENTED INTELLIGENCE
    Properzi, Martina
    STUDIA UNIVERSITATIS BABES-BOLYAI PHILOSOPHIA, 2022, 67 (02): : 101 - 112