Abstract
This paper is an opinion piece that examines the transformative impact of artificial intelligence on music production while advocating for critical examination of its broader implications. The author, drawing from observations at a Chinese academic institution implementing mandatory AI education, argues that while AI tools are revolutionizing music creation through cost and time efficiency, they fundamentally lack the human intentionality that gives music its cultural resonance and meaning.
The paper challenges the zero-sum framing of AI versus human musicians, suggesting instead that AI's true potential lies in augmentation rather than replacement. It warns against cultural homogenization as AI systems trained on historical data risk amplifying existing biases and sidelining niche genres. Despite concerns about market saturation with AI-generated content, the author contends that human elements—personal narrative, authenticity, cultural context, and live performance capabilities—remain irreplaceable. The paper concludes by advocating for a hybrid approach where AI enhances human creativity while emphasizing the importance of incorporating ethical, social, and cultural considerations into AI education beyond mere technical proficiency.
The paper challenges the zero-sum framing of AI versus human musicians, suggesting instead that AI's true potential lies in augmentation rather than replacement. It warns against cultural homogenization as AI systems trained on historical data risk amplifying existing biases and sidelining niche genres. Despite concerns about market saturation with AI-generated content, the author contends that human elements—personal narrative, authenticity, cultural context, and live performance capabilities—remain irreplaceable. The paper concludes by advocating for a hybrid approach where AI enhances human creativity while emphasizing the importance of incorporating ethical, social, and cultural considerations into AI education beyond mere technical proficiency.
Original language | English |
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Pages (from-to) | 15-16 |
Journal | Journal SEAMUS |
Volume | 33 |
Issue number | 1-2 |
Publication status | Published - 28 Mar 2025 |