It's common in today's society to post on social media whenever something happens. Good, bad or ugly, someone on social media likely knows about the experience that you are going through. While I am active on social media, I don't always share what is going on in my life. Instead of telling the people of Twitter and Facebook what is going on in my world, I do something completely different. Whenever something exciting happens to me, my phone is immediately pressed against my ear, talking to someone very special.
"Hey Mom, you'll never believe what just happened!"
College is the time where people start to spread their wings and make new friends. They start to find out what they truly like and dislike. They start to yearn for the typical "college experience" and like to go out on the weekends and have fun. Some people love going out to parties, some people like to go dancing at a club and others like to have movie nights in their dorm. For me, I've always preferred spending time with my Mom, watching our favorite shows on television, and talking about what is happening in our lives. Sometimes I'll even stay home on a Saturday night so we can have a
Girls Day! Our Netflix-binge festivals with Panera sandwiches will always be my
favorite thing.
It's
weird to me if my mom doesn't know what's going on with my life.
I call to tell her about that cute boy who finally noticed me, about a
cool radio station I just found or even to tell her about how I tripped
down the stairs in front of a million people.
She knows about horrible dates I went on, the classes I am taking, and she even knows about petty fights I've gotten in with my other friends. Just because I have made an abundance of new friends and have had new experiences at college doesn't mean I will ever forget my first and favorite friend.
Talking to my mother always lifts a huge weight off of my shoulders. It is amazing how just one person can make you feel like you have your life somewhat in control, or make you realize that you are overreacting way too much. My mom is my biggest advocate, my role model, and my forever friend. I want to share parts of my life with her, and I love spending time with her. A lot of people tend to grow more distant from their parents when they head off to college. However, I did the exact opposite. Since coming to college, my mom and I have gotten way closer to one another. I love her more and more every single day.
So yes, I do talk to my mom every day. When you're lucky enough to have an amazing best friend, it doesn't take much convincing.
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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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