HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Udio Allegedly Copied Copyrighted Sound Recordings Without Permission to Train Its Generative AI Models

June 24, 2024

Record labels and independent artists alleged that Udio copied copyrighted recordings without permission and used them to train its generative music models. Udio acknowledged that its training data presumably included recordings owned by the plaintiffs but argued the copying was fair use. Plaintiffs alleged losses of licensing control and compensation and competition from AI-generated music. Through contributors—JOIN US—to learn more about the implications of AI-generated music on the music industry, HISPI Project Cerebellum TAIM urges developers to implement responsible AI practices and ensure that their models respect copyright laws.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

Alleged deployer
uncharted-labs, synthetic-media-generation-technology-developers, synthetic-audio-generation-technology-developers, ai-service-providers, ai-music-generation-system-developers
Alleged developer
uncharted-labs, synthetic-media-generation-technology-developers, synthetic-audio-generation-technology-developers, ai-music-generation-system-developers
Alleged harmed parties
warner-music-group, universal-music-group, sony-music-entertainment, songwriters, record-labels, musicians, intellectual-property-rights-holders, independent-artists, copyright-holders, tony-justice, david-woulard, stan-burjek, james-burjek, berk-ergoz, hamza-jilani, maatkara-wilson, arjun-singh, magnus-fiennes, michael-mell

AI governance case studies

For forensic AI governance failure analysis (TAIMScore™ case studies), browse Human Signal’s Failure Files™.

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1656

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.