In College, your scholarly achievement is the most important thing in your life. Classes can range from difficulties where you have to remember specific compounds by images to something where all you do is discuss in class and get that smooth "A" with barely any effort. However, what a lot of people to take into account when coming from the outside looking into a college course is the timing, timing is absolutely essential in having a successful college experience. As a freshman picking classes back in July picking classes I thought to myself " I woke up at 6 am during the week for four years, why would this be any different". I was gravely mistaken, living in college is completely different from living in your house. In your house, you are basically to stay in your house and go to sleep since you can’t go and hang without possible repercussions. However, when you get that ever so popular college freedom to come to the realization that you can hang out until damn near 2 o'clock in the morning. It’s at this point you realize that a 7:30 am class is literally death and you are gravely sleep deprived, and when you actually do make it to class you feel like a zombie and learn nothing. In my case, the course was a breeze and you would literally fill out worksheets and leave and that "A" would be yours. It is always important to understand your priorities when dealing with an early class. It is important to keep your integrity when it comes down to what are you willing to experience to hinder your academics. After a short conversation with one of my colleagues, it only shows that attendance in classes is important. If attendance is the only thing stopping, you from having that grade you want then it is time for you to reevaluate your priorities and make sacrifices for your future gain. It is always imperative to keep in mind that you are paying for school, or if you’re not paying out of pocket somebody put money towards your future, so stay humble and keep your scholastics as the number one in your life. In the case that you do happen to miss a class make sure that you do everything in your power to make up for that day missed by emailing your teacher whilst also inquiring to your fellow classmates about what you missed, punctuality is very important in the life of a college student in the scholarly sense therefore, I must stress that if you end up missing an early class don’t just shrug it off and move on, do all you can to make up for that absence because it can be the difference between you passing and failing.
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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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