Recently I applied to be a Resident Assistant, Peer Mentor, and just in case O Team. Well I didn't get Resident Assistant (second time in a row) or Peer Mentor. So I guess I'm stuck with O Team. I'm not quite sure if I am happy yet I love the people who I have met there. I am just not self confident yet that I will do a good job or that this is what God had in store for me because hello I have a ton of leadership experience and there is no way I would just get O Team. Also hello people I am not cut out for O Team I am so below how O Team should be. I am shy. I don't have a natural woo and no I'm not that good an actor who can fake it. So yeah I can't fake it until I make it. Honestly I will fail I know I will that's why I wanted to be a Peer Mentor or an RA because those positions don't require an excessive amount of woo. So this could be the most intense acting job there is and I know that I cannot do it. Also I kind of feel betrayed by those that took notes on me. I showed that I was more than just O Team and I know it. But hey maybe this is because I was born on the Ides of March that people who think that I would be a great leader actually don't think that I will be. But maybe this is God's plan. So maybe I will now fail. I just kind of wish that I was more than just O Team because O Team only gets one week to be leaders and nothing else. I am happy with the people. I am happy with the backpack. But I am not happy that my window feels like it's half-closed if that. Either way I need to take this a day at a time and learn how to be happy with this leadership experience that I was given even though it will be hard. It's basically asking someone who doesn't like chocolate to be happy with you giving them something that is nothing but chocolate to eat. So if you are at my daycare you take a no-thank-you bite and move on. So yeah trying not to quit but also trying to not move on disappointed. But hey maybe my luck will change. Maybe something good is going to happen next.
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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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