- Let me go print out my boarding pass at a kiosk.
- What's my confirmation number again?
- Boarding group four? Again?
- At least I have an aisle seat!
- Let me check this bag so I can stop lugging it around.
- Please, please, please don't look at the picture on my ID. No one should have to see the hideousness that is that picture.
- My bag is only 49 pounds, thank goodness. No overweight fees for me!
- Okay, on to security.
- This is my least favorite part.
- Why didn't I wear slip-on shoes?
- Dang it, I forgot a one-quart bag to put my liquids in.
- Great, I have 0.2 seconds to get all my stuff out of the bins before being trampled by the person behind me.
- Well, I haven't been arrested (yet).
- And there are no seats at my gate. Hello, floor.
- Finally, we're boarding!
- I don't know why I bothered getting in line. It's still going to be 20 minutes before they actually call my group.
- Sir, that bag is definitely not small enough to be classified as carry-on.
- Finally -- on the plane!
- How do the flight attendants look so put together? If all I did was fly I would look like a zombie.
- I feel like the seats get smaller each time I fly.
- Ooh, that person is cute. Hopefully he is next to me.
- Nope, I got a person that doesn't speak the same language as me and has no sense of personal space.
- The in-flight entertainment better be good.
- I have to pay for it? Never mind.
- Time to read the plane's magazine and pretend to be interested in the articles.
- They are bringing around drinks! Yay!
- I'll have a Diet Coke, duh. Like, you even have to ask.
- The person next to me is getting very handsy.
- Okay, sir, I understand now that you have to go to the bathroom. There was no need to put your hand on my thigh.
- Great, now I have to go.
- This is the tiniest bathroom I've ever been in.
- That toilet flush is so powerful, I'm scared it'll suck me down with it.
- I guess I'll just sleep.
- The recline on this chair is despicable.
- No, baby, no. Stop crying.
- Great, now every other baby on this flight started wailing.
- I am never ever having children.
- Yay, we're finally landing!
- Ooh, that was a rough landing.
- Please stop shoving, we're all trying to get off the plane.
- Oh, land, sweet land. How I've missed you.
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This article has not been reviewed by Odyssey HQ and solely reflects the ideas and opinions of the creator.
StableDiffusion
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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