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A North Carolina man, Michael Smith, has pleaded guilty to defrauding music streaming platforms and his fellow musicians out of millions in royalties by generating thousands of AI-generated songs and using automated "bots" to artificially boost the number of listens into the billions. This case marks one of the first successful prosecutions of AI-related fraud in the music business, highlighting a growing problem for the industry.
Michael Smith, a 52-year-old resident of Cornelius, North Carolina, pleaded guilty to conspiracy to commit wire fraud in a deal with federal prosecutors in New York's southern district. Smith was charged with fraudulently obtaining over $10 million in royalty payments by amassing as many as 661,440 streams daily between 2017 and 2024. The scheme involved generating thousands of fake songs using artificial intelligence and streaming them billions of times to artificially inflate the numbers.
The case against Smith highlights a growing problem for the music industry, which is being threatened by fake music generated by AI. The industry is concerned that AI-generated music and AI-related schemes to boost plays are diverting funds from musicians and songwriters whose songs were legitimately streamed by real consumers.
The music industry is facing a new challenge with the rise of AI-generated music. Streaming services such as Amazon Music, Apple Music, Spotify, and YouTube Music are being flooded with fake music, which is diverting funds from real musicians and songwriters. The industry is also concerned about the impact on the creative process, as AI-generated music can be passably similar to human-composed music but lacks artistic risk and depth.
The case against Smith is a significant blow to the music industry's efforts to combat AI-related fraud. It highlights the need for greater regulation and oversight of AI-generated music and the need for streaming services to take steps to prevent fake music from being uploaded and streamed.
Source: The Guardian