Determining the Originality of AI-Generated Works: A Prompt-Based Perspective

In a landmark decision, the Beijing Internet Court became the first in the world to recognise the copyright status of an AI-generated image, marking a significant step forward in the legal treatment of such content. However, the question of the source of originality in such works remains unresolved. At the heart of this debate lies the question of whether the prompts provided by human users play a decisive role in determining the originality of AI-generated outputs. This article addresses this issue by examining the function of prompts in the generative process and evaluating their influence on the originality of the resulting work. Based on this analysis, the article proposes a dual-standard framework for evaluating the originality of AI-generated content, combining “authorial personality” with a “minimal degree of creativity”. This standard aims to reduce uncertainty in originality assessments and enhance the objectivity of legal determinations. The framework is designed to accommodate the characteristics of diverse work types, align with the principles of human creativity and the legislative intent of copyright law, and ultimately promote innovation and cultural flourishing.

Authors

Institutions

Publication Details

Journal
Beijing Law Review
Published
2025-01-01
DOI
https://doi.org/10.4236/blr.2025.163070
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determining the Originality of AI-Generated Works: A Prompt-Based Perspective

Sichen Zhao
Beijing Law Review
Explainable Artificial Intelligence (XAI)
article

Determining the Originality of AI-Generated Works: A Prompt-Based Perspective

Sichen Zhao
article en

Abstract

In a landmark decision, the Beijing Internet Court became the first in the world to recognise the copyright status of an AI-generated image, marking a significant step forward in the legal treatment of such content. However, the question of the source of originality in such works remains unresolved. At the heart of this debate lies the question of whether the prompts provided by human users play a decisive role in determining the originality of AI-generated outputs. This article addresses this issue by examining the function of prompts in the generative process and evaluating their influence on the originality of the resulting work. Based on this analysis, the article proposes a dual-standard framework for evaluating the originality of AI-generated content, combining “authorial personality” with a “minimal degree of creativity”. This standard aims to reduce uncertainty in originality assessments and enhance the objectivity of legal determinations. The framework is designed to accommodate the characteristics of diverse work types, align with the principles of human creativity and the legislative intent of copyright law, and ultimately promote innovation and cultural flourishing.

Beijing Law ReviewVol. 16(03)
University of International Business and Economics (CN)
Openalex Percentile: Top 91%
Explainable Artificial Intelligence (XAI)
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.

Determining the Originality of AI-Generated Works: A Prompt-Based Perspective — Sichen Zhao · Beijing Law Review (2025) | TGRS Research Map | TGRS