As MJ, a 20-year-old music producer, mixes beats on her smartphone app, it’s hard to tell if the catchy tune is hers or that of an AI algorithm. With the rise of artificial intelligence in music production, lines between human and machine creativity are increasingly blurred.
Research in music cognition reveals that humans process music by responding to patterns, emotions, and associations. Psychologists Isabelle Peretz, a renowned expert in music cognition, and Robert Zatorre, a neuroscientist studying music perception, have shown that our brains are wired to differentiate between human and machine music – but only to a point.
As AI-powered music production apps like Amper Music, AIVA, and Jukedeck become more sophisticated, they can generate professional-sounding tracks with ease. Users can select from a variety of genres, moods, and styles, and the AI algorithm creates a custom piece of music. But does this mean the music lacks human soul?
One key aspect of human music creation is emotional expression and personal experience. When a human writes a song, their feelings, memories, and experiences are embedded in the melody, harmony, and lyrics. AI algorithms, on the other hand, are based on patterns and data analysis. While they can mimic human emotions, they don’t possess personal experiences or emotions in the same way.
The implications of this shift in music creation are significant. As we become more accustomed to listening to music generated by machines, our expectations and perceptions of what constitutes “good” music may change. This, in turn, could alter the way we form emotional connections with music and the role it plays in our individual and group identities.
What this means is that the music we listen to and create is becoming increasingly intertwined with technology, blurring the lines between human and machine creativity. As we continue to rely on AI-powered music production apps, we should consider the value we place on human emotion and experience in music. Will we prioritize the authentic, emotional expression of human music, or will we settle for the convenience and efficiency of machine-generated melodies?
