Generating Mixcode Popular Songs with Artificial Intelligence: Concepts, Plans, and Speculations

TL;DR

This paper explores the potential of AI-generated popular music, aiming to develop tools for social transformation and well-being, through a conceptual and speculative collaboration between computer science and ethnomusicology.

Contribution

It introduces a novel interdisciplinary project combining AI and music for social impact, emphasizing conceptual frameworks and future plans.

Findings

AI can create music for social change and well-being

Interdisciplinary collaboration enhances music generation approaches

The project sets a foundation for future practical tools

Abstract

Music is a potent form of expression that can communicate, accentuate or even create the emotions of an individual or a collective. Both historically and in contemporary experiences, musical expression was and is commonly instrumentalized for social, political and/or economic purposes. Generative artificial intelligence provides a wealth of both opportunities and challenges with regard to music and its role in society. This paper discusses a proposed project integrating artificial intelligence and popular music, with the ultimate goal of creating a powerful tool for implementing music for social transformation, education, healthcare, and emotional well-being. Given that it is being presented at the outset of a collaboration between a computer scientist/data analyst and an ethnomusicologist/social anthropologist. it is mainly conceptual and somewhat speculative in nature.