Author
Asst Prof BIAN Renjun
Organisation/Institution
Peking University Law School
Country
CHINA
Panel
Intellectual Property Rights
Title
Recognizable Human Input; Copyrightable AIGC
Abstract
This article examines the evolving intersection of copyright law and AI-generated content (AIGC) through the lens of "recognizable human input" as a potential threshold for copyrightability. As generative AI technologies advance, courts and policymakers face increasing challenges in determining when AIGC deserves copyright protection. We propose that the degree of recognizable human input—encompassing creative choices, prompting techniques, and pre- and post-generation editing—provides a coherent framework for copyright analysis that aligns with traditional copyright principles. We also provide a spectrum of different levels of human input and their recognizability through a creative experiment on more than 500 participants.
Biography
BIAN Renjun is an assistant professor at Peking University Law School specializing in intellectual property law and empirical legal studies. Her interdisciplinary research focuses on the intersection of artificial intelligence and IP, exploring both how AI can enhance traditional IP studies and how the emergence of AI technologies challenges existing IP frameworks. Renjun holds a J.S.D. and LL.M. from the University of California, Berkeley, and an LL.B. from Peking University.
