Since I'm bad at speaking my thoughts, I tend to write them out instead. So this is a thank you to the amazing friends I've made in college. You've become my support group, my encouragement, and my some of my biggest supporters. So thank you. Thank you for listening to me rant about my major and my stress and giving me guidance and support when others didn't. You guys are the reason I'm still at this school, and why I didn't transfer last year or even this year when I wanted to. Thank you for always being honest with me and for being real. Without you guys I wouldn't have people always down to go to Chick-Fil-A and Andy's. Thank you for always wanting to gossip, and for favoriting my tweets to help boost my ego. Thank you for not judging me for my likes and my wants since I'm very "basic". Thank you for screaming the lyrics to every throwback song I play in my car and saying I have a good music taste. Thank you for watching my dog when I'm working in the lab. Thank you for always being there for me when I'm going through rough patches in life, and constantly sticking by my side (and for stealing that mini pumpkin from the cafeteria to cheer me up). Thanks for supporting me even if you don't agree with what I'm doing and for not judging me. Thanks for all the amazing snapchat videos I have saved to my phone of you all acting crazy. Thanks for all the inside jokes, and for being "not like other girls". It's only been a year and half but we've already became so close and can share anything about each other without it being weird. I'm grateful for all the silences among us and for them not being uncomfortable because we're just that close. Thank you for actually caring about my well being and for not making empty promises. Thanks for all the Wal-Mart trips then result in "family dinners" in the basement of our dorm. But most importantly thank you for being unapoligetically yourselves around me, always.
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The Illusion of Creativity
AI-generated music is often marketed as “artistic” or “educational.” But what does it really teach?
- That style can be replicated without understanding.
- That emotion can be simulated without feeling.
- That effort can be bypassed with a prompt.
For young creators, this sets a dangerous precedent. Why learn to play guitar when an algorithm can do it faster? Why study harmony when AI can generate chord progressions in seconds? The risk isn’t just laziness — it’s the loss of depth, discipline, and the tactile joy of creation.
I have listened to several AI-generated music covers. My initial reaction was one of considerable impressiveness, particularly regarding the reimagining of classic pop hits in diverse genres with novel arrangements. Here is one good example a-ha — Take On Me
However, after engaging with several such Ai generated song covers, a sense of emotional detachment emerged, attributable to the perceived absence of human artistry and genuine sentiment, resulting in a technically flawless yet ultimately soulless auditory experience.
Copyright in Crisis
What does the copyright law say about AI generated music, especially in field of music covers. Who is liable for copyright in this case, AI developers, people who used AI to generate music or people who published it on music platforms?
Recent lawsuits show that the music industry is pushing back hard:
- Universal, Sony, and Warner sued AI music platforms Suno and Udio in 2024 for allegedly training their models on copyrighted songs without permission Ars Technica The Lyon Firm.
- They’re seeking up to $150,000 per infringed song, arguing that the AI outputs resemble famous tracks and voices (e.g., Mariah Carey, Michael Jackson).
- These lawsuits target the developers of the AI tools — but they raise broader questions:The legal gray area is training data. Courts haven’t yet ruled definitively on whether using copyrighted songs to train AI counts as infringement or fair use Sites at USC.
But who’s liable?
Role | Legal Risk | Why |
AI Developers | ✅ High | For training on copyrighted material without licenses. |
Users | ⚠️ Moderate | If they intentionally recreate protected works. |
Publishers/Platforms | ✅ High | For distributing infringing content. |
The grey area lies in training data. Courts haven’t yet ruled definitively on whether using copyrighted songs to train AI counts as infringement or fair use. Meanwhile, AI-generated works themselves aren’t eligible for copyright unless a human provides substantial creative input — leaving them in legal limbo.
The Educational Mirage
Some argue that AI music helps people learn genres, production styles, or vocal techniques. But this “education” often lacks context. It’s like learning to paint by watching a printer — technically impressive, but creatively hollow.
True musical education involves:
- Struggle and iteration: Learning through mistakes.
- Emotional connection: Expressing what words can’t.
- Cultural lineage: Understanding the roots of sound.
AI shortcuts bypass all of this. And in doing so, they risk flattening the rich terrain of human creativity into a sterile landscape of algorithmic mimicry.
Why This Fight Matters
This isn’t just about music. It’s about the future of art, storytelling, and human expression. If we allow machines to dominate creative spaces, we risk turning culture into content — optimized, monetized, and devoid of soul.
We must ask: Do we want a world where art is made by machines, or one where machines help humans make better art?
5 Key Takeaways
- AI-generated music blurs the line between innovation and erosion in the creative arts
- AI-generated music raises questions about copyright, culture, education, and artistic expression
- AI-generated music can replicate style without understanding, simulate emotion without feeling, and bypass effort with a prompt
- AI-generated music sets a dangerous precedent for young creators by potentially leading to a loss of depth, discipline, and joy of creation
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