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ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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Resurrecting Voices: The Ethical, Social and Legal Implications of AI-Generated Music Using Deceased Artists

Authors: Thanvi, Shaurya;

Resurrecting Voices: The Ethical, Social and Legal Implications of AI-Generated Music Using Deceased Artists

Abstract

Resurrecting Voices: The Ethical, Social and Legal Implications of AI-Generated Music Using Deceased Artists (December 2025) is a short report examining the growing use of generative AI to recreate (or imitate) the voices of late musicians in new songs, covers, and synthetic performances—often shared on platforms such as TikTok and YouTube. The report analyses the topic through three key lenses: Legal issues: copyright and training-data concerns, ambiguity around whether outputs count as “derivative works,” unclear authority/ownership over AI-generated tracks, and limitations in current UK protections (including the lack of dedicated personality/publicity rights and weak coverage for an individual’s natural voice). It also highlights emerging responses such as the UK APPG “VINL” recommendations (Voice, Image, Name, Likeness) and Tennessee’s ELVIS Act in the USA. Ethical issues: consent after death, respect for legacy (where AI output may distort an artist’s identity), and incentives that may prioritise profit over integrity. Social issues: public perception and authenticity, family/estate impact, creative shortcuts (e.g., “in the style of” generation), and unequal benefits where only well-resourced estates can meaningfully control or commercialise AI “resurrections.” Using recent real-world examples discussed in the report—including viral AI music trends and disputes over AI voice use—it shows how “digital resurrection” can blur the line between tribute and exploitation. The report concludes with practical recommendations, including stronger protections for voice/image/likeness, licensing requirements for AI voice cloning, and improved transparency through watermarking/disclaimers and platform labelling for AI-generated voice media. References are provided in the end of the Report. 

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Keywords

AI, Deceased Musicians

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green