
This paper examines the legal and ethical implications of using copyrighted musical works to train artificial intelligence (AI) music generation systems, focusing on whether creators should be compensated for such use. It identifies gaps in existing legal frameworks concerning AI authorship and proposes a structured remuneration model to ensure equitable compensation for artists whose works are used in AI training. The paper advocates a hybrid governance approach combining law, technology, and market mechanisms.
AI-Generated Music, Artificial Intelligence, Text and Data Mining, Copyright Law, Fair Dealing, Collective Management Organizations, Postema, Remuneration Scheme, Lessig, Canadian Copyright Act
AI-Generated Music, Artificial Intelligence, Text and Data Mining, Copyright Law, Fair Dealing, Collective Management Organizations, Postema, Remuneration Scheme, Lessig, Canadian Copyright Act
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