← Back to results Supreme People’s Court of China defines standards for determining whether AI core algorithm elements constitute trade secrets Yanmin Quan & Ting He
Abstract On 22 August 2025, the Intellectual Property Division of the Supreme People’s Court of China ruled for the first time that core algorithm elements for AI deep learning, such as training code and databases, qualify as trade secrets due to their secrecy, commercial value and confidentiality. The court found that the appellees had failed to prove independent development of the allegedly infringing technology and lacked sufficient evidence to rebut the presumption of secrecy, thereby infringing the appellant’s trade secret rights.
Open in an MCP-compatible agent ↗
Open via your library → Cite
Cite this paper https://doi.org/https://doi.org/10.1093/jiplp/jpag026 Copy URL
Or copy a formatted citation
BibTeX RIS APA Chicago Link
@article{yanmin2026,
title = {{Supreme People’s Court of China defines standards for determining whether AI core algorithm elements constitute trade secrets}},
author = {Yanmin Quan & Ting He},
journal = {Journal of Intellectual Property Law & Practice},
year = {2026},
doi = {https://doi.org/https://doi.org/10.1093/jiplp/jpag026},
} TY - JOUR
TI - Supreme People’s Court of China defines standards for determining whether AI core algorithm elements constitute trade secrets
AU - Quan, Yanmin
AU - He, Ting
JO - Journal of Intellectual Property Law & Practice
PY - 2026
ER - Yanmin Quan & Ting He (2026). Supreme People’s Court of China defines standards for determining whether AI core algorithm elements constitute trade secrets. *Journal of Intellectual Property Law & Practice*. https://doi.org/https://doi.org/10.1093/jiplp/jpag026 Yanmin Quan & Ting He. "Supreme People’s Court of China defines standards for determining whether AI core algorithm elements constitute trade secrets." *Journal of Intellectual Property Law & Practice* (2026). https://doi.org/https://doi.org/10.1093/jiplp/jpag026. Supreme People’s Court of China defines standards for determining whether AI core algorithm elements constitute trade secrets
Yanmin Quan & Ting He · Journal of Intellectual Property Law & Practice · 2026
https://doi.org/https://doi.org/10.1093/jiplp/jpag026 Copy
Paste directly into BibTeX, Zotero, or your reference manager.
Flag this paper Evidence weight Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
F · citation impact 0.50 × 0.4 = 0.20 M · momentum 0.50 × 0.15 = 0.07 V · venue signal 0.50 × 0.05 = 0.03 R · text relevance † 0.50 × 0.4 = 0.20
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.