KUALA LUMPUR, July 13 -- More than 21 million copyrighted songs have been found across several massive datasets believed to be used for training generative Artificial Intelligence (AI) models.

The discovery was made in an investigation by The Atlantic journalist Alex Reisner, who uncovered four major music datasets currently circulating within the AI development community and widely used to train AI models.

The datasets contain millions of songs, including tracks by top global artists such as Taylor Swift, Bad Bunny and Ed Sheeran.

According to Reisner, the largest among the four datasets are LAION-DISCO, which contains more than 12 million tracks, and Sleeping-DISCO, which contains more than nine million tracks.

The other two smaller...