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Microsoft Copilot Integrates with Suno for Music Creation

Despite the rapid innovation in generative AI, there still remains many concerns around AI and intellectual property.
Created on December 21|Last edited on December 21
Microsoft has expanded the capabilities of its AI-powered chatbot, Copilot, by integrating it with Suno, a company that builds foundational models for audio generation. This collaboration allows Copilot users to create songs by simply providing prompts like “Create a pop song about adventures.” Suno is capable of generating complete songs from these prompts, including lyrics, instrumentals, and singing voices.
Google AI lab DeepMind and YouTube have already partnered to develop Lyria, an AI model for music, and Dream Track, a tool for AI music in YouTube Shorts. Similarly, Meta and others like Stability AI have been experimenting in this space heavily.

Ethical Controversy

This progress is not without controversy. Ethical and legal challenges regarding AI-synthesized music remain unresolved. Issues arise from AI algorithms learning from existing music, often without the consent or compensation of original artists. This has led to internal conflicts within companies and external legal debates. For instance, the Grammys have excluded fully AI-generated songs from award consideration.
Music, arguably more so than other domains like computer code or natural language text, is deeply intertwined with intellectual property rights. This intrinsic connection raises significant concerns in the context of AI-generated music.

New Tech, New Rules

Given the sensitivity and complexity surrounding music rights, it seems increasingly likely that the continued development and use of AI for music creation will necessitate mechanisms for compensating artists. The ethical and legal dimensions of using AI to synthesize music, which often involves learning from existing compositions, highlight the need for a fair and equitable system that respects the rights and contributions of original artists.
Suno, in particular, does not disclose its AI training data sources and does not block prompts that mimic specific artists' styles. While Suno claims to have safeguards against certain prompts and uploading lyrics for covers, the broader legal implications are still ambiguous.

Possible Regulation

The industry is awaiting clarity on these legal and ethical issues. A new US Senate bill aims to provide artists with legal recourse for unauthorized use of their digital likenesses or musical styles. As this legal landscape evolves, the proliferation of AI-generated music, which can closely mimic authentic tracks, continues to stir debate and interest.

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Tags: ML News
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