AI and music copyright in Rangsit: who owns a song made with artificial intelligence, and why Toey still names the sharps before her AI piano lessons

Toey is fourteen and lives in Rangsit, where she writes short songs for her school's drama club. A few weeks ago a classmate showed her an app that could generate a complete song from a single sentence of description. Toey was impressed and uneasy at the same time. If a machine wrote the song, she wondered, whose song was it?

Her question is one of the biggest debates in the music industry. AI music generators can now produce melodies, harmonies, lyrics and even convincing vocals in seconds. They raise questions about ownership, payment and fairness that existing copyright laws were not designed to answer.

Authorship in the age of generated songs

Copyright traditionally protects works created by people. Toey learned that in the United States, the Copyright Office has said that material produced entirely by AI, without meaningful human creative control, cannot be registered. If a person shapes, selects or arranges the material in creative ways, those human contributions may be protected. Other countries are still developing their own positions.

A second issue concerns training. AI systems learn by analysing huge collections of existing music. Many artists and record companies argue that using their recordings without permission or payment is unfair, and some have taken legal action against AI companies. Those cases are still moving through the courts, and their outcomes may reshape the industry.

There are also questions about voice. Some AI tools can imitate a famous singer's sound closely. Artists have objected strongly to songs that use their voices without consent, and platforms have removed some imitations. Toey realised that copyright is only part of the story; identity and trust matter as well.

Her drama teacher, who studied law before teaching, offered practical advice. Read the terms of any AI tool you use. Be honest about how a song was made. And keep building your own skills, because creative choices that come from you are both more defensible and more meaningful. Toey wrote all three points in her songwriting notebook.

She took the third point seriously. Toey had been taking piano lessons with TiGA AI, an online piano learning app, to improve her composing. Unlike a song generator, the AI piano teacher in the app does not write anything for her. It listens to her playing and shows where to improve, so every melody she produces remains her own work.

Her composing routine starts at the keyboard. Toey checks the corner beside the clef, naming every sharp or flat that sets the key. Her newest song for the drama club was in A major, and choosing that key herself, because it suited the lead actor's voice, felt like exactly the kind of decision only a human composer makes.

Toey decided she would use AI in limited ways, after spending a weekend thinking about it and discussing it with two friends from the drama club who had very different opinions. She might ask a tool to suggest rhyming words or play back a chord progression for testing. But the melodies, lyrics and arrangements would come from her. If anyone asked, she would explain exactly what she had done, and she would never imitate a real singer's voice.

Frequently asked questions

Q: Can AI-generated music be copyrighted? A: Rules differ by country and are still developing. In the United States, the Copyright Office has stated that protection requires human authorship, so material generated entirely by AI is not protected, though human creative contributions within a work may be.

Q: Why are musicians worried about AI training data? A: Many AI music systems learn from large collections of existing recordings. Artists and record companies have raised concerns about whether their work was used without permission or payment, and several legal disputes are ongoing.

Q: Should young composers avoid AI tools? A: Not necessarily. Many use AI for ideas or practice. The important habits are to understand the tool's terms, credit sources honestly and develop personal skills so that creative choices remain genuinely their own.

Her parents appreciate that she can learn piano with a structured piano course that strengthens her own abilities. These AI piano lessons use technology to support learning rather than replace creativity, which they see as an important difference for a young person growing up surrounded by generative tools.

The legal landscape will keep changing, and Toey knows that what is true today may not be true in a few years. She has promised herself to keep reading the news on the topic, partly out of curiosity and partly because she hopes to earn money from songwriting one day.

Her drama club performed her latest song last week, in a small hall with folding chairs and a borrowed sound system that crackled whenever someone walked past the cable. The audience did not know or care which key it was in, but Toey did. She had chosen every note. That, she told her teacher afterwards, felt like owning something in a way no law could fully describe.

Skill keeps a creator's voice their own. Children who play piano or play music now will create alongside AI throughout their lives. Composition music lessons can deepen that craft later. For now, Toey has a notebook of honest rules and a song that is unmistakably hers.

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