The answer to this question depends on your perspective. If you look at the potential benefits that could be had from AI, this question becomes moot.

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The Pros and Cons of AI in Music Production

The primary purpose of AI is to “learn” music. From the time an artist creates an original piece of music to its eventual reproduction on the album cover or in a movie soundtrack, AI analyzes the original piece to learn how it sounds. A very popular example of an AI generated original piece of music is Logic Pro X’s “Heartbeat.” It is an incredibly difficult piece of music to create by hand, but the algorithm used to create this piece is incredibly robust and generates sounds that mimic human heartbeats.

On the other hand, the use of AI in music creation is already being used to make more traditional music. Mixing methods, such as Auto-Tune and Radize, are examples of how AI can be used to add electric, electronic, and orchestral sounds to a piece of music.

How to Regulate AI in the Music Industry

Artificial intelligence will continue to make music production more efficient and convenient, but the threat posed by AI is still fairly unknown. This is especially true given the amount of ambiguity around the topic of AI, and the dearth of legal frameworks for its regulation. For example, there is currently no current international standard for AI. Similarly, no law exists to regulate AI that produces art. Consequently, AI in music could be used to produce original content.

Conclusion

Music is a powerful cultural icon, and the ways in which it is used as an expression of the human condition reflects the social context within which it is produced and distributed. Today, the global trend is toward a focus on different forms of expression, whether by songwriters in the West, or by virtual artists who perform for crowds of millions on global social media platforms. This reflects not only the way in which societies are changing, but also the way that culture is evolving.

\-musicstar.ai


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The Ethical Considerations of Artificial Intelligence in Music