Bots harvesting content for AI companies have proliferated to the point that they’re threatening digital collections of arts and culture. Galleries, Libraries, Archives, and Museums (GLAMs) say they’re being overwhelmed by AI bots according to a report issued on Tuesday by the GLAM-E Lab. The surge in bots that gather data for AI training, the report says, often went unnoticed until it became so bad that it knocked online collections offline.
Source: Bots are overwhelming websites with their hunger for AI data
The company said AI-made music accounts for just 0.5% of streams on the music streaming platform but its analysis shows that fraudsters are behind up to 70% of those streams. AI-generated music is a growing problem on streaming platforms. Fraudsters typically generate revenue on platforms such as Deezer by using bots to “listen” to AI-generated songs – and take the subsequent royalty payments, which become sizeable once spread across multiple tracks.
The Book Industry Study Group has announced the launch of Find a Rightsholder, a searchable database with information on how to reach rights and permissions contacts for more than 3,500 imprints. Unlike title management tools that seek to facilitate dealmaking and take a cut of any transaction, Find a Rightsholder is focused solely on helping the publishing community locate relevant contacts for U.S. and U.K. publishers.
The International Confederation of Music Publishers (ICMP) has released its first-ever analysis of global music publishing, surveying 16 major music markets. The headline finding? Music publishing brings in a little over $11 billion annually in those markets. The number includes publishers’ direct revenue, plus distributions to publishers and songwriters from collective management organizations (CMOs).
Humans have nuanced awareness. They draw on their experiences to make inferences and logical decisions. AI models are, however, only as good as their training data. An AI model’s accuracy doesn’t entirely depend on the underlying algorithms’ technical sophistication or the amount of data processed. Instead, accurate AI performance depends on trustworthy, high-quality data during training and analytical performance tests.
