My family calls it "the box." The realm of what you're comfortable with, where you feel safe. We like to be in the box, or in our comfort zone. We're in control in our comfort zone. We know what to expect. But if we live life in our comfort zones, then we'll never grow and we'll never know if we really do dislike something or rather we were just scared of it. By learning to take risks and go outside of our comfort zone, then we learn to live.
Growing up, we're told to "be careful" or "don't do anything rash." We are taught from a young age that safety and security is a top priority. We are practically trained to stick with the known. Adults tell us to not talk to strangers, don't wander off alone, always ask permission before you go off and do this or that.
As a result, we aren't risk takers. We stay safe and play the rules. This puts us at a disadvantage when we get off into the real world. I still call my parents and ask their advice or permission before doing something. There's not necessarily anything wrong in that, but when their reply is no longer an actual answer but "you're an adult now, you can make your own decisions," I find myself somewhat at a lost. I have to make my own decisions? That's risky. That's not safe, I'm not comfortable with that.
Canon Andrew White, who came and spoke in one of my classes this past semester, advised us to "take risk, not care." We need to learn to take more risks. If we don't talk to strangers, then how do we make new friends and meet people who could change our lives? If we don't go exploring on our own, we'll miss out on so many amazing experiences. I'm from Florida, and I took a risk going to college in Chicago—a city I'd only been in once in my way to Hong Kong (another risk I had taken a year earlier). That risk that was so terrifying at first has ended up being one of the best decisions of my life. The strangers I talked to at college have become the best friends I've had.
The best thing about risks is that they are so unpredictable. You don't know what's going to happen and that's half the fun. You're actions and choices directly affect the outcome. Nothing is pre-planned for you. Mom and dad don't have every little detail perfectly groomed and put into place. You make the decision, and do live with the result.
Take a risk and apply for that job you don't think you're qualified for. Ask out that girl/guy from your science class that you think is cute. Take a trip to someplace you'd always wanted to go. Life is an adventure and every adventure is a risk. Obviously, don't put yourself into situations with unnecessary bad risks. Take good risks. If it doesn't turn out the way you hoped...Well that's why it's called a risk.
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
