AI for Songwriters: Ethical Considerations | Artificial Intelligence | Consent | Transparency | Bias @Berklee_Online
AI for Songwriters: Ethical Considerations | Artificial Intelligence | Consent | Transparency | Bias  @Berklee_Online
Uploaded February 2025 | Updated September 2026, 2 weeks ago
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In this video from the Berklee Online AI for Songwriters course, instructor Ben Camp discusses the ethics surrounding the use of AI in the music industry. Camp brings up important questions like “Should artists have the right to decide if their work is used to train AI models?” and “Who is the rightful owner of music that was created by AI?” This discussion also touches upon consent, transparency, and bias in AI tools, which could limit the range of music we experience. Camp stresses the necessity for people to learn more about the ethical implications of AI in music, but also emphasizes that AI has many positive uses in music, such as allowing musicians to create songs easily, with a lower budget, and promote their music worldwide faster.

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ABOUT THE AUTHOR:
Ben Camp teaches songwriting at Berklee College of Music. Their songs have appeared in film and TV on networks like MTV, CBS, NBC, Fox, and more. They have written singles for Brice Fox, Tiesto, Victoria Justice, Sam Feldt, and others. Ben's mission as an educator is simple: Help you write the songs that only you can write.

About Berklee Online:
Founded in 2002, Berklee Online is the premier innovator and largest provider of worldwide music education, offering the renowned curriculum of Berklee College of Music at a fraction of the cost through award-winning programming and instruction. Contact an Academic Advisor today:
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advisors@online.berklee.edu

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AI for Songwriters | Songwriting | Artificial Intelligence | Audio | Technology | Ben Camp | Berklee College of Music | Berklee Online | songwriter | Brice Fox | Tiesto | Victoria Justice | Sam Feldt | Ethics | Audio Production | Music Industry | AI in Music Production
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AI for Songwriters: Ethical Considerations | Artificial Intelligence | Consent | Transparency | Bias

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