One year ago, I had moved to Boston! Surprised to see how much time flies.
Boston has always been so kind to me. I am a part of the Indian Ensemble, which is something I have always wanted to be a part of! I met a lot of amazing people, whom I could call my family! I got into the Music Therapy major, something I am very interested in, even though I didn't make it the first time! I also became a writer at Odyssey, which helped me improve my writing skills, as well as to communicate with people. But, overall, I became a better person. I became stronger, more confident and improved musically.
I always knew Boston was kind to me, but it's only now I realize that Boston is truly a place for me.
Three months ago, I received the shocking news about my mother being diagnosed with cancer, and for those three months, I was miserable. I was lonely and depressed. It was shocking for me, as I never expected this to happen and I didn't know what to do. I always thought that I would never again smile or be happy! I was afraid to go back to Boston, as I had a fear that I will be all alone.
When I came back to Boston, first, I had put all my concentration into shifting to my new place, which was a hard task, but the fact that I did it all by myself made me feel good about myself. But the best part was that I had rehearsals for the Bangalore show every single day. I spent every single day with my Indian Ensemble family, who made me get to know them more, and how amazing they all are, and that they are truly my Boston family. While the rehearsals were tiring and long, it always put a huge smile on my face. At the end of each rehearsal, I couldn't wait to see them the next day. They have also helped me a lot with this devastating situation; I realized that I am not alone after all! Thank you so much, guys. On top of that, I enjoyed doing what I love doing the most: Singing!
I am leaving for Bangalore in five more days! I am happy that I get to travel to India, with my dear Boston family! I also get to see my parents and other relatives which makes me even more excited! I feel so excited for the show!
This entire month in Boston also got me excited for next semester, when I begin my Music Therapy practicum! I can't wait to experience this amazing field! I also plan to improve myself socially, as this helps me feel strong and happy, and at the same time, work hard to finish my course and to become even better musically! I plan to love and accept myself more, which would make me feel positive and stop all the negativities that come towards me!
Boston, you truly make me who I am! You truly are my other home! Thank you, Boston!
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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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