Legal Risk Analysis for Artificial Intelligence Generated Content (AIGC)

Artificial Intelligence Generated Content (AIGC), exemplified by ChatGPT, has experienced significant advancements in recent years. These advancements are attributed to training language models on extensive datasets, resulting in the acquisition of distinct learning and creative abilities that differentiate them from earlier AI tools. Generative AI has enhanced the productivity of human society's work and education. However, it has also brought up several legal hazards, such as challenges in regulating it under public law and issues of infringement under private law. China's regulatory approach to generative AI should prioritize caution and inclusivity on a broad scale. It should progressively establish a flexible regulatory and governance structure, as well as a comprehensive liability governance system, on a smaller scale.

Authors

Publication Details

Journal
Journal of Computing and Electronic Information Management
Published
2025-03-05
DOI
https://doi.org/10.54097/vp5kx286
Citations
1
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
8.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Legal Risk Analysis for Artificial Intelligence Generated Content (AIGC)

Lie Li, Chuyun Wang
1 citations
Journal of Computing and Electronic Information Management
Artificial Intelligence in Law
8.52
article

Legal Risk Analysis for Artificial Intelligence Generated Content (AIGC)

Lie Li, Chuyun Wang
article en
1 citations

Abstract

Artificial Intelligence Generated Content (AIGC), exemplified by ChatGPT, has experienced significant advancements in recent years. These advancements are attributed to training language models on extensive datasets, resulting in the acquisition of distinct learning and creative abilities that differentiate them from earlier AI tools. Generative AI has enhanced the productivity of human society's work and education. However, it has also brought up several legal hazards, such as challenges in regulating it under public law and issues of infringement under private law. China's regulatory approach to generative AI should prioritize caution and inclusivity on a broad scale. It should progressively establish a flexible regulatory and governance structure, as well as a comprehensive liability governance system, on a smaller scale.

Journal of Computing and Electronic Information ManagementVol. 16(1)
Openalex Percentile: Top 5%
Artificial Intelligence in Law
8.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Legal Risk Analysis for Artificial Intelligence Generated Content (AIGC) — Lie Li, Chuyun Wang · Journal of Computing and Electronic Information Management (2025) | TGRS Research Map | TGRS