For a collaborative, open, and ethical AI built by and for the musical community

We are at a turning point. Generative artificial intelligence is transforming every creative field, and music is no exception. New tools can generate soundscapes, melodies, or full compositions from a simple text prompt. But these technologies are far from neutral: the models behind them are trained on massive datasets — sounds, music, voices — often obtained without the creators’ consent or recognition. In this context, the challenge is not just technical or legal, but deeply cultural and political. What kind of artificial intelligence do we want for music? What roles should musicians, researchers, and creative communities play?

We propose to think and build a different kind of musical AI: one that is collaborative, open, and ethical. This is not only about criticizing existing practices, but about showcasing and fostering concrete alternatives being developed within academic, community-based, and creative spheres.

Read the full statement

 

​​​​​​Presentation of the chair

 

IA y Música: Cátedra en Inteligencia Artificial y Música (TSI-100929-2023-1). Project funded by Secretaría de Estado de Digitalización e Inteligencia Artificial, and European Union-Next Generation EU