AI and Music: The Ethics of Uncompensated Training on Paid Artists' Work

"AI and Music: The Ethics of Uncompensated Training on Paid Artists’ Work" examines the ethical and legal challenges surrounding AI-generated music. As AI models increasingly train on copyrighted musical works without consent, concerns arise regarding artist compensation, intellectual property rights, and fair use. This paper explores the current stance of performing rights organizations like ASCAP, legislative efforts such as the No AI FRAUD Act, and the broader implications for the music industry. It proposes solutions such as AI training licenses, royalty funds, and attribution models to ensure ethical coexistence between AI innovation and human creativity.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-28
DOI
https://doi.org/10.5281/zenodo.14993121
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
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article

AI and Music: The Ethics of Uncompensated Training on Paid Artists' Work

Zenodo (CERN European Organization for Nuclear Research)
Law, AI, and Intellectual Property
article

AI and Music: The Ethics of Uncompensated Training on Paid Artists' Work

article en

Abstract

No abstract available for this paper.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 77%
Law, AI, and Intellectual Property
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AI and Music: The Ethics of Uncompensated Training on Paid Artists' Work · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS