skip to main content
Giới hạn tìm kiếm: Giới hạn tìm kiếm: Dạng tài nguyên Hiển thị kết quả với: Hiển thị kết quả với: Dạng tìm kiếm Chỉ mục

Towards an international regulatory framework for AI safety: lessons from the IAEA’s nuclear safety regulations

Humanities & social sciences communications, 2024-12, Vol.11 (1), p.506-13 [Tạp chí có phản biện]

The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2662-9992 ;DOI: 10.1057/s41599-024-03017-1

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
  • Nhan đề:
    Towards an international regulatory framework for AI safety: lessons from the IAEA’s nuclear safety regulations
  • Tác giả: Cha, Seokki
  • Chủ đề: Algorithms ; Artificial intelligence ; Ethics ; Goal setting ; Innovations ; International ; International cooperation ; International organizations ; Nuclear accidents & safety ; R&D ; Regulation ; Research & development ; Risk factors ; Safety standards ; Society
  • Là 1 phần của: Humanities & social sciences communications, 2024-12, Vol.11 (1), p.506-13
  • Mô tả: This study explores the necessity and direction of safety regulations for Artificial Intelligence (AI), drawing parallels from the regulatory practices of the International Atomic Energy Agency (IAEA) for nuclear safety. The rapid advancement and global proliferation of AI technologies necessitate the establishment of standardized safety norms to minimize discrepancies between national regulations and enhance the consistency and effectiveness of these rules. The study emphasizes the importance of international collaboration and the engagement of various stakeholders to strengthen the appropriateness of regulations and ensure their continuous updating in response to the evolving risks associated with technological advancements. The paper highlights the critical role of subgoal setting mechanisms in AI’s decision-making processes, underscoring their significance in ensuring the technology’s stability and social acceptability. Improperly tuned subgoal setting mechanisms may lead to outcomes that conflict with human intentions, posing risks to users and society at large. The study draws attention to the hidden risks often embedded within AI’s core decision-making mechanisms and advocates for regulatory approaches to guarantee safe and predictable AI operations. Furthermore, the study acknowledges the limitations of directly applying IAEA’s nuclear safety cases to AI due to the distinct characteristics and risks of the two fields. The paper calls for future research to delve deeper into the need for an independent regulatory framework tailored to AI’s unique features. Additionally, the study emphasizes the importance of accelerating international consensus, developing flexible regulatory models that reflect the situation in each country, exploring harmonization with existing regulations, and researching timely regulatory responses to the fast-paced development of AI technology.
  • Nơi xuất bản: London: Palgrave Macmillan
  • Ngôn ngữ: English
  • Số nhận dạng: EISSN: 2662-9992
    DOI: 10.1057/s41599-024-03017-1
  • Nguồn: ProQuest Central
    DOAJ Directory of Open Access Journals

Đang tìm Cơ sở dữ liệu bên ngoài...