As many of you may know there has been a very popular video circulating on the internet. The basis of this video is a teen boy in high school who begins a conversation with another student by writing messages back and forth on a desk. It goes scene by scene through the school’s classrooms, hallways and library to follow the journey of the student. At the end of the video the mystery girl that he has been writing to is revealed as they are signing yearbooks in their school’s gym. In the middle of their conversation another student enters the gym and begins shooting. It cuts to a black screen and states “While you were watching Evan, another student was showing signs of planning a shooting. But no one noticed.” It then proceeds to show the clips again that we had previously seen from the same video taking a closer look at what is happening in the rest of the scene. The troubled student shows signs of anger by lashing out at others. He is bullied in the hallways. It even shows him looking up shooting videos online. There is a point in the flashback that shows a picture he posted on social media holding a gun with the caption “see you at school”. This emphasizes the ease by which we overlook these kinds of situations every day. These are very real steps taken by troubled students and the fact of the matter is that school shootings are preventable. We, as a society, need to pay closer attention to the problems facing adolescents in schools. There are many aspects of the American education system that needs improvement and very obviously the mental health of its' students is in dire need of attention. One of the first things that comes up as a result when searching the word “depression” on Google is “depression in students” or “depression caused by school”. A general statistic on student depression is that 2.8 million youth age 12-17 had at least one major depressive episode in 2014. Whether it be bullying at the hands of other students or teachers, sleep deprivation, work overload, or self esteem issues, along with a plethora of other issues, the unhealthy environments in schools needs to be addressed. Education is not a one size fits all type of deal and we need to stop treating it that way. With how beautifully shot and how eloquently the material of this video is presented, I feel as though all of you should give this video a watch. Maybe then you can have your eyes opened to the life of a troubled student in your life and how to prevent disaster. It only takes one. Watch the video here.
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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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