Technology

The Rise of AI in Music Creation: Opportunities and Challenges

Published March 3, 2024

As artificial intelligence (AI) continues to permeate various industries, the music realm is experiencing a significant transformation. AI-powered tools, such as Suno, are now enabling users to generate original music pieces using simple text prompts. Despite their advanced capabilities, seasoned musicians can still discern that these AI-generated tracks lack the authentic touch of human creativity.

The AI Approach to Music Making

Bob Hallett, co-founder of Newfoundland's folk-rock group Great Big Sea, recently evaluated two AI-created songs that were styled to mimic his band's music. He found that while the production quality was polished, the country singer's vocals and the somewhat mismatched lyrics fell short, giving the songs a score of only two out of ten. These tracks were produced by Suno's generative AI, which operates based on textual descriptions provided by users. The aim is to create lively and passionate music, akin to Great Big Sea's style.

Technological Advancements and Their Limitations

Experts like Jimmy Lin, a director at the University of Waterloo AI institute, believe that with rapid advancements in AI music technology, the quality of AI-generated music will improve. Nonetheless, creations from companies like Suno are currently not intended to precisely replicate existing artists' work or utilize copyrighted lyrics. Instead, they offer a new realm of originality with a blend of user input and AI creativity.

Legal Concerns in the AI Music Landscape

Despite its promise, the use of AI in music production raises legal questions, particularly regarding training algorithms with copyrighted material. Should companies use such material without consent, they could face lawsuits similar to those confronted by tech giants for using content inappropriately. Privacy and rights remain at the forefront of AI music technology concerns as these platforms grow more sophisticated.

Impacts on the Music Industry

AI-generated tracks may find their niche in markets such as advertising, where quick and original jingles are often needed. However, musicians like Hallett are less concerned about AI's impact on traditional music revenue streams, citing that concerts and commercial placements are already the main income sources for many artists. As the industry adapts, Lin suggests that these AI music tools are evolving so rapidly that their application in commercial contexts could happen very soon.

Human Touch in Music

Hallett remains convinced that for music that genuinely connects with listeners, human musicians are irreplaceable. He stresses the importance of sincerity, storytelling, and conveying genuine emotion in music—qualities that AI has yet to master. While AI may instill fear in some, the authenticity of human-created music continues to hold a unique appeal.

AI, music, technology