The intersection of artificial intelligence and music creation is a rapidly evolving landscape, and recent research is shedding light on how musicians and sound designers are navigating this new terrain. A study conducted by Arnaud Zeller and Emmanuelle Chevry Pebayle delves into the activities and relationships of these artists with AI, focusing on creation, performance, publishing, and dissemination. By analyzing specialized forums between 2022 and 2024, the researchers employ lexicometric analysis to uncover the representations linked to AI use in music.
The study highlights the challenges artists face as machines become equipped with advanced AI, requiring new forms of appropriation and enabling novel mediations. The theoretical framework guiding this research is the Human-AI Musicking Framework, which aims to clarify the current and future uses of AI in sound and musical content creation. This framework helps identify the obstacles and limitations artists encounter when integrating AI into their creative processes.
One of the key aspects explored is the concept of appropriation, defined as “the act of making content one’s own and integrating it as a part of oneself” (Bachimont and Crozat, 2004). The research seeks to understand how musicians and sound designers adapt to and integrate AI tools into their workflows. By examining the interactions and discussions on specialized forums, the study reveals the nuances of human-AI collaboration in music creation.
The findings from this research are crucial for understanding the broader implications of AI in the music industry. As AI tools become more sophisticated, they offer new possibilities for creativity and innovation. However, they also present challenges related to artistic identity, creative control, and the ethical considerations of AI use. The study underscores the importance of developing frameworks and tools that support artists in their creative journeys, ensuring that AI serves as a complementary tool rather than a replacement for human creativity.
Moreover, the research highlights the need for ongoing dialogue and collaboration between technologists and artists. By fostering a deeper understanding of the challenges and opportunities presented by AI, the music community can better navigate this transformative period. The insights gained from this study can inform the development of more intuitive and artist-friendly AI tools, ultimately enhancing the creative process.
In summary, the research by Arnaud Zeller and Emmanuelle Chevry Pebayle provides a comprehensive analysis of the evolving relationship between musicians, sound designers, and AI. By focusing on the practical and theoretical aspects of AI integration, the study offers valuable insights into the future of music creation. As AI continues to shape the music industry, this research serves as a critical resource for artists, developers, and enthusiasts alike, paving the way for a more harmonious and innovative creative landscape.
