by Alba Blue, 09/06/2024 https://alba.blue/
This article examines the intersection between artificial intelligence and the music industry, focusing on AI's role in music creation, production, and distribution. Through a review of recent technological advancements, case studies, and theoretical frameworks on creativity and ethics, the paper explores how AI is reshaping both the artistic process and economic structures of the music industry.
Indeed, AI offers unprecedented opportunities for democratizing music production and enhancing creative collaboration, but it also raises concerns about job displacement, ownership rights, copyright issues, and the homogenization of creativity. The article concludes by proposing an ethical framework for AI integration in music and recommending areas for future research.
So, the integration of artificial intelligence in the music industry is transforming how music is created, produced, and distributed. AI's ability to analyze data, learn from patterns, and generate content autonomously has led to innovations in composition, production tools, and music discovery algorithms. In this article we will explore these changes and investigates the ethical, economic, and cultural impacts of AI in the music industry.
Historically, technological advancements such as digital audio workstations (DAWs) and streaming platforms have disrupted traditional music creation and consumption patterns (Hesmondhalgh, 2021).
Today, AI is the next frontier, offering both opportunities and challenges. This article will address key research questions:
Here, the goal is to provide a balanced exploration of AI’s potential while addressing the ethical challenges and societal implications that need to be considered.
While the role of AI in music production has significantly evolved over recent years, its most profound impact can be seen in the creative process itself. From composing melodies to generating entire songs, AI is redefining what it means to create music.
AI has significantly influenced music composition through tools like OpenAI's Jukedeck and AIVA (Artificial Intelligence Virtual Artist). These platforms allow users to generate music autonomously by inputting parameters such as genre, mood, or tempo (Briot, Hadjeres, & Pachet, 2020).