The tortuous path to an ethical future with AI in music
The Musical Genesis
The origin of music is a mystery. However, since humans adapted their brains to attribute meaning to their own existence and the events surrounding them, stimulating their senses, we became capable of expressing these feelings collectively and in an organized manner, creating complex and deep connections within our own species.
​
Most living beings have the ability to recognize patterns of wave air vibrations that reach their hearing systems from nature, which can have various meanings, such as "flee," "hide," or "I am here," and even express emotions. However, throughout history, only humans possessed the unique ability to recreate, combine, and organize these vibrations in a harmonious and artistic way to convey messages, express ideas, and emotions collectively, with multiple meanings. That is music.
The AI Convergence
Artificial intelligence (AI) has increasingly permeated the music industry, encompassing creation, production, distribution, and consumption. The current convergence of AI in music involves the utilization of algorithms, neural networks, machine learning, and other techniques to generate, analyze, recommend, and personalize musical content.
Several instances of AI applications in music include AI-driven streaming platforms suggesting music to users, composition tools that employ AI to create melodies, harmonies, and lyrics, mixing and mastering software optimizing sound through AI, and robots proficiently playing musical instruments. However, this convergence is not a recent phenomenon.
