Artificial Intelligence, Autonomous Creation, and the Future Path of Copyright Law

Most literature at the intersection of copyright and AI has focused primarily on what copyright law is or ought to be. Frequently overlooked is the question of what copyright law will be in the AI space. Understanding this question is crucial because the path of copyright law chosen by the United States will have a major impact on the country's economic and technological future.This article begins by scrutinizing two lines of arguments that have been advanced to deny copyright protection to AI-generated works: constitutional and incentive-based. The article then discusses a third line of arguments—harmonization-based arguments—and identifies select instances in which Congress matched the protection offered by other jurisdictions or declined to do so.This article further shows that global copyright law developments have slowly diverged in the AI space. In view of these growing divergences, U.S. legislators and policymakers are now confronted with a key policy choice at the intersection of copyright and AI: should the United States retain existing approaches, follow other jurisdictions, or work with these jurisdictions to develop harmonized AI-related international copyright standards?To inform the future debate on copyright and AI, the second half of this article highlights the different areas in which substantial copyright law and policy reform may emerge in the AI space. It further discusses four options the United States can take to shape the future path of copyright law: (1) international treaty negotiations; (2) soft law instruments; (3) a global multi-stakeholder dialogue; and (4) choice-of-law principles.

Publication Details

Journal
eYLS (Yale Law School)
Published
2025-04-01
Primary Topic
X-ray Spectroscopy and Fluorescence Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence, Autonomous Creation, and the Future Path of Copyright Law

eYLS (Yale Law School)
X-ray Spectroscopy and Fluorescence Analysis
article

Artificial Intelligence, Autonomous Creation, and the Future Path of Copyright Law

article en

Abstract

Most literature at the intersection of copyright and AI has focused primarily on what copyright law is or ought to be. Frequently overlooked is the question of what copyright law will be in the AI space. Understanding this question is crucial because the path of copyright law chosen by the United States will have a major impact on the country's economic and technological future.This article begins by scrutinizing two lines of arguments that have been advanced to deny copyright protection to AI-generated works: constitutional and incentive-based. The article then discusses a third line of arguments—harmonization-based arguments—and identifies select instances in which Congress matched the protection offered by other jurisdictions or declined to do so.This article further shows that global copyright law developments have slowly diverged in the AI space. In view of these growing divergences, U.S. legislators and policymakers are now confronted with a key policy choice at the intersection of copyright and AI: should the United States retain existing approaches, follow other jurisdictions, or work with these jurisdictions to develop harmonized AI-related international copyright standards?To inform the future debate on copyright and AI, the second half of this article highlights the different areas in which substantial copyright law and policy reform may emerge in the AI space. It further discusses four options the United States can take to shape the future path of copyright law: (1) international treaty negotiations; (2) soft law instruments; (3) a global multi-stakeholder dialogue; and (4) choice-of-law principles.

eYLS (Yale Law School)
Openalex Percentile: Top 36%
X-ray Spectroscopy and Fluorescence Analysis
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.

Artificial Intelligence, Autonomous Creation, and the Future Path of Copyright Law · eYLS (Yale Law School) (2025) | TGRS Research Map | TGRS