From as far back as the Greeks, people have been trying to determine what makes mood the way that it is. What makes us depressed, what makes us happy, what causes hallucinations, the Greeks questioned everything that had to do with the external things that people did. Since then, scientists have discovered more about what makes us feel certain ways and our mental status, but we still have not discovered many things about the human brain. One of the things that we have learned a significant amount about is what makes a person happy or sad. It's simply this: the presence or lack of certain chemicals in the brain determine the mood of a person. These chemicals can be influenced from a number of different things. These chemicals make the difference for a person. Low levels of these chemicals can cause depression, high levels can cause schizophrenia, These chemicals are called Serotonin, Dopamine, and Norepinephrine. These chemicals are just what makes us feel our different moods. Dopamine is the feel good drug that fires off when we do something that makes us feel good. For example, sometimes when we eat food our bodies increase their dopamine levels and we feel good. Norepinephrine has a very large role in motivation and pleasure, but also in movement. Serotonin is responsible for maintaining the balance in our mood. It transmits impulses between nerve cells, functions in the GI tract, and has been proven to be present in bone metabolism, breast milk production, liver regeneration, and cell division. Pertaining to emotions however, it controls anxiety, depression, and overall happiness. Ecstasy and LSD cause large rises in Serotonin levels, which is why people get so happy. Serotonin is a large component of anti-depressant and anti-anxiety medications. Norepinephrine is present in making sure that we can respond appropriately to stress. It's job is to get one into a state of arousal, like in the fight or flight situation to walking into danger, but low levels of Norepinephrine can cause depression. All three of these chemicals are what cause us to feel happy, feel depressed, or feel any range of emotion. With these chemicals, we wouldn't be able to feel happy, we shouldn't be able to feel good, and we wouldn't be able to handle stress. They're important, and without them we would mentally be anxious and depressed. They're a completely essential part of our lives and they help us to be who we are, while impacting our brains, also impacting other parts of our body, and transmitting things to our bodies.
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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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