Most of the time, I am very sure of who I am. Admittedly, I'm not always very confident in myself, but I have gotten pretty good at "faking it until I make it." By this, I mean that if I pretend as though I am very confident, I start to actually become that way. In all actuality, I have become fairly confident. But there are still some days when I do not feel quite myself. I'm here to talk about how that feels. It's when I leave my home in a new outfit and I put extra effort into my hair. I feel great about myself all day, until I come home and look in the mirror only to see what is wrong. I parted my hair too far to the side. Were the bags under my eyes this dark all day? Maybe this sweater didn't look very nice with these jeans. I started the day feeling beautiful, and I went to bed feeling like a stranger to my own body. It is when I worked very hard on a presentation to give in class, and become nervous once I stood in front of the room. I forgot some of the things that I wanted to say, and I am sure that my shaky knees were very noticeable. I don't know if it was just me, but it sounded as though people didn't clap as much as they did for the other presentation. It is when I get a grade slightly lower than what I was hoping for, and I feel like the feeling of failure is setting out the map for the rest of my life. I didn't ace the biology exam, so does that mean that I am going to fail the class, lower my gpa, that I will never get the job that I am working hard for? Of course not. Even though I know that I am doing my best, that people like me, and I like myself too, there are still times when I forget those things and do not feel like myself at all. The best thing that I can possibly do for myself at these times is to remember that the way that I feel is self created. I must see the world around me in a different way. remember the other presentations given before mine. I know that my mind wandered quite a bit during the presentations, and use introspection to assume others did the same. No matter how the different presentations went, everybody received the same level of polite applause. I know that I am letting the nervous feeling from standing in front of a group of people get to my head, and that I am only paranoid that my presentation went poorly. This is just one example of a time where I try to use introspection and realistic thinking to calm my nerves. In order to be happy and comfortable with myself and my life in the way that I normally am, I must remind myself that in situations where I feel insecure and nervous I am not seeing things for what they truly are.
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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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