Volume 41 Issue 2
Feb.  2025
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Article Navigation >  Journal of University of Science and Technology Beijing ( Social Sciences Edition)  > 2025  >  41(2): 88-96
HUANG Jingqiu, DENG Bojun. Research on the Ethical Regulation of Artificial Intelligence Algorithms[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2025, 41(2): 88-96. doi: 10.19979/j.cnki.issn10082689.2024030082
Citation: HUANG Jingqiu, DENG Bojun. Research on the Ethical Regulation of Artificial Intelligence Algorithms[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2025, 41(2): 88-96. doi: 10.19979/j.cnki.issn10082689.2024030082
shu

Research on the Ethical Regulation of Artificial Intelligence Algorithms

doi: 10.19979/j.cnki.issn10082689.2024030082
  • 1.

    School of Marxism Studies, Zhejiang Normal University, Jinhua 321004, China

  • 2.

    School of Marxism, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

  • Received Date: 2024-03-14
  • Publish Date: 2025-02-01
    Abstract
  • At present, artificial intelligence algorithms have been deeply embedded in the capillaries of human production activities and daily life, impacting the ethical order of human society and generating ethical risks of artificial intelligence algorithms. The autonomy of artificial intelligence algorithms leads to non-determinism, making unexplainability and unpredictability a difficult problem in algorithm ethics. Artificial intelligence algorithms have caused ethical risks such as algorithm bias, algorithm discrimination, and personal privacy protection in application scenarios. The complexity of artificial intelligence algorithms profoundly challenges the traditional ethical rule system and causes the problem of algorithm accountability. Therefore, it is necessary to regulate by improving the certainty of artificial intelligence algorithms, promoting the scientific application of artificial intelligence algorithms, clarifying the responsible subjects of artificial intelligence algorithms, building a certain fault tolerance space, and returning to artificial intelligence algorithm technology itself, so as to promote the good development of artificial intelligence algorithms.

     

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