ATLANTIC LAUNCHES SEARCHABLE AI MUSIC TRAINING DATABASE

The database contains four distinct datasets totaling over 21 million tracks. Two sets are particularly large, containing 12 million and 9 million songs respectively, while the other two exceed 100,000 tracks each. Reisner's investigation identified these datasets after discovering they had been downloaded thousands of times. While exact usage remains unclear, major AI companies including Google and Stability AI are suspected users. The searchable tool allows artists and the public to determine whether their music appears in these training sets—a critical transparency measure as the music industry grapples with AI's impact on copyright and artist compensation. The datasets highlight how generative AI models rely on vast amounts of unlicensed music to function. The database represents a significant step toward accountability in AI training practices, giving creators visibility into how their work may have been used without explicit permission or compensation.