AI study reveals artists are taking control to create potential new music genres

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Research conducted by Stability AI reveals that AI is significantly impacting the music industry by potentially creating new music genres as artists embrace and adapt to this transformative technology. The study, titled Music and Artificial Intelligence: Artistic Trends, examined 337 AI-related music works to explore how artists are utilizing artificial intelligence in their music creation process. The primary findings of the research show that AI is commonly employed as a tool for co-composition, sound design, and lyrics generation by professional artists.

One key aspect highlighted in the study is how artists are leveraging AI tools to enhance their creative processes without relinquishing their artistic control. Through this integration of technology, artists are able to maintain their artistic agency while exploring new avenues for musical expression. Furthermore, some artists are intentionally embracing the loss of creative agency that comes with utilizing AI, allowing certain aspects of their music-making process to be guided by AI or other users of AI. For instance, artists such as Holly Herndon, Grimes, and Sevdaliza have released AI-powered versions of their vocal likeness, enabling collaborations that transcend traditional boundaries between artists and their audiences.

Moreover, the research paper sheds light on the evolving debate surrounding copyright issues in AI-generated music, prompting artists to curate their own training datasets and customize their sound. This deliberate sourcing of training data by artists underscores their proactive approach to shaping their unique musical identity through AI. Additionally, the study explores innovative advancements facilitated by AI in music, such as the creation of uncanny sounds, multilingual lyric translations, and genre blending. Artists like K-pop group MIDNATT and Lauv have successfully leveraged AI to create multilingual versions of their songs, pushing the boundaries of musical diversity and accessibility.

As AI continues to permeate the music industry, the research emphasizes the cultural pushback against AI-generated music and draws parallels to historical resistance towards technological changes in music creation. It reflects on past instances where innovations like sampling, auto-tuning, and other technological advancements were initially met with skepticism before gaining recognition for their contribution to artistic evolution. The paper underscores the transformative potential of AI in music while acknowledging the uncertainty surrounding its long-term impact on popular music and culture.

In conclusion, the research by Stability AI highlights the significant influence of AI on contemporary music production and its transformative potential for shaping new music genres. By observing the innovative applications of AI in music creation and the evolving dynamics between artists and technology, the study provides valuable insights into the ongoing revolution in the music industry driven by artificial intelligence.

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