Profiling Elements, Risks, and Governance of Artificial Intelligence: Implications from DeepSeek

Cheng Le, Hu Ming, Hong Tao

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DOI: 10.1515/ijdlg-2025-0008
Published: 4
Container: International Journal of Digital Law and Governance
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1515/ijdlg-2025-0008,
  title = {Profiling Elements, Risks, and Governance of Artificial Intelligence: Implications from DeepSeek},
  author = {Cheng Le and Hu Ming and Hong Tao},
  year = {2025},
  journal = {International Journal of Digital Law and Governance},
  doi = {10.1515/ijdlg-2025-0008},
  url = {https://doi.org/10.1515/ijdlg-2025-0008}
}

RIS

TY  - JOUR
TI  - Profiling Elements, Risks, and Governance of Artificial Intelligence: Implications from DeepSeek
AU  - Cheng Le
AU  - Hu Ming
AU  - Hong Tao
PY  - 2025
JO  - International Journal of Digital Law and Governance
DO  - 10.1515/ijdlg-2025-0008
UR  - https://doi.org/10.1515/ijdlg-2025-0008
ER  -

APA

Le, C., Ming, H., & Tao, H. (2025). Profiling Elements, Risks, and Governance of Artificial Intelligence: Implications from DeepSeek. International Journal of Digital Law and Governance. https://doi.org/10.1515/ijdlg-2025-0008

Source records

doaj · retrieved 2026-09-27T01:27:38.395Z