Why new revelations about the training of AI music models hit close to home | WPLN News<\/title> \n\t<meta name=\"description\" content=\"Musicians are expressing alarm at finding their music listed in sets of data that might\u2019ve been used to train AI models. The Atlantic's AI watchdog project ignited the conversation and Nashville-based digital strategist and songwriter Charles Alexander weighs in with senior music writer Jewly Hight.\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/wpln.org\/post\/why-new-revelations-about-the-training-of-ai-music-models-hit-close-to-home\/\"\/>\n\t<meta property=\"og:locale\" content=\"en_US\"\/> \n\t<meta property=\"og:type\" content=\"article\"\/> \n\t<meta property=\"og:title\" content=\"Why new revelations about the training of AI music models hit close to home\"\/> \n\t<meta property=\"og:description\" content=\"Musicians are expressing alarm at finding their music listed in sets of data that might\u2019ve been used to train AI models. The Atlantic's AI watchdog project ignited the conversation and Nashville-based digital strategist and songwriter Charles Alexander weighs in with senior music writer Jewly Hight.\"\/> \n\t<meta property=\"og:url\" content=\"https:\/\/wpln.org\/post\/why-new-revelations-about-the-training-of-ai-music-models-hit-close-to-home\/\"\/> \n\t<meta property=\"og:site_name\" content=\"WPLN News\"\/> \n\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/NashvillePublicRadio\/\"\/> \n\t<meta property=\"article:published_time\" content=\"2026-07-02T09:47:41+00:00\"\/> \n\t<meta property=\"og:image\" content=\"https:\/\/wpln.org\/wp-content\/uploads\/sites\/7\/2026\/07\/Charles-Alexander-pic.jpg\"\/> \n\t<meta property=\"og:image:width\" content=\"1510\"\/> \n\t<meta property=\"og:image:height\" content=\"1746\"\/> \n\t<meta property=\"og:image:type\" content=\"image\/jpeg\"\/> \n\t<meta name=\"author\" content=\"Jewly Hight\"\/> \n\t<meta name=\"twitter:card\" content=\"summary_large_image\"\/> \n\t<meta name=\"twitter:creator\" content=\"@WPLN\"\/> \n\t<meta name=\"twitter:site\" content=\"@WPLN\"\/> \n\t<meta name=\"twitter:label1\" content=\"Written by\"\/> \n\t<meta name=\"twitter:data1\" content=\"Jewly Hight\"\/> \n\t<meta name=\"twitter:label2\" content=\"Est. reading time\"\/> \n\t<meta name=\"twitter:data2\" content=\"9 minutes\"\/><\/p>\n\t<\/p>\n<meta property=\"og:title\" content=\"Why new revelations about the training of AI music models hit close to home\"\/> \n<meta property=\"og:description\" content=\"Musicians across the world have taken recent revelations from The Atlantic\u2019s AI watchdog project personally. Embedded in the investigation published by the magazine was a search tool that enabled music-makers to see which of their songs are included in four massive digital data sets. Several of those, including the Free Music Archive, were created for noncommercial use, but they could very well have also been used by Suno, Udio or other AI music companies to train the models on which they\u2019re building business. It\u2019s no wonder that independent artists working in every conceivable style of music, as well as superstars of [\u2026]\"\/> \n<meta property=\"og:image\" content=\"https:\/\/wpln.org\/wp-content\/uploads\/sites\/7\/2026\/07\/Charles-Alexander-pic.jpg\"\/> \n<meta property=\"og:image:width\" content=\"1510\"\/> \n<meta property=\"og:image:height\" content=\"1746\"\/> \n<meta property=\"og:image:type\" content=\"image\/jpeg\"\/> \n<meta property=\"og:type\" content=\"article\"\/> \n<meta property=\"og:article:published_time\" content=\"2026-07-02 04:47:41\"\/> \n<meta property=\"og:article:modified_time\" content=\"2026-07-01 16:45:56\"\/> \n<meta property=\"og:article:tag\" content=\"AI\"\/> \n<meta property=\"og:article:tag\" content=\"Charles Alexander\"\/> \n<meta property=\"og:article:tag\" content=\"ELVIS Act\"\/> \n<meta property=\"og:article:tag\" content=\"music AI\"\/> \n<meta property=\"og:article:tag\" content=\"technology\"\/> \n<meta property=\"og:article:tag\" content=\"The Elvis Act\"\/> \n<meta property=\"og:article:tag\" content=\"ViNiL\"\/> \n<meta property=\"og:locale\" content=\"en_US\"\/> \n<meta name=\"twitter:card\" content=\"summary_large_image\"\/> \n<meta name=\"twitter:title\" content=\"Why new revelations about the training of AI music models hit close to home\"\/> \n<meta name=\"twitter:description\" content=\"Musicians across the world have taken recent revelations from The Atlantic\u2019s AI watchdog project personally. Embedded in the investigation published by the magazine was a search tool that enabled music-makers to see which of their songs are included in four massive digital data sets. Several of those, including the Free Music Archive, were created for noncommercial use, but they could very well have also been used by Suno, Udio or other AI music companies to train the models on which they\u2019re building business. 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\n\tWhy new revelations about the training of AI music models hit close to home | WPLN News<\/title> \n\t<meta name=\"description\" content=\"Musicians are expressing alarm at finding their music listed in sets of data that might\u2019ve been used to train AI models. The Atlantic's AI watchdog project ignited the conversation and Nashville-based digital strategist and songwriter Charles Alexander weighs in with senior music writer Jewly Hight.\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/wpln.org\/post\/why-new-revelations-about-the-training-of-ai-music-models-hit-close-to-home\/\"\/>\n\t<meta property=\"og:locale\" content=\"en_US\"\/> \n\t<meta property=\"og:type\" content=\"article\"\/> \n\t<meta property=\"og:title\" content=\"Why new revelations about the training of AI music models hit close to home\"\/> \n\t<meta property=\"og:description\" content=\"Musicians are expressing alarm at finding their music listed in sets of data that might\u2019ve been used to train AI models. The Atlantic's AI watchdog project ignited the conversation and Nashville-based digital strategist and songwriter Charles Alexander weighs in with senior music writer Jewly Hight.\"\/> \n\t<meta property=\"og:url\" content=\"https:\/\/wpln.org\/post\/why-new-revelations-about-the-training-of-ai-music-models-hit-close-to-home\/\"\/> \n\t<meta property=\"og:site_name\" content=\"WPLN News\"\/> \n\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/NashvillePublicRadio\/\"\/> \n\t<meta property=\"article:published_time\" content=\"2026-07-02T09:47:41+00:00\"\/> \n\t<meta property=\"og:image\" content=\"https:\/\/wpln.org\/wp-content\/uploads\/sites\/7\/2026\/07\/Charles-Alexander-pic.jpg\"\/> \n\t<meta property=\"og:image:width\" content=\"1510\"\/> \n\t<meta property=\"og:image:height\" content=\"1746\"\/> \n\t<meta property=\"og:image:type\" content=\"image\/jpeg\"\/> \n\t<meta name=\"author\" content=\"Jewly Hight\"\/> \n\t<meta name=\"twitter:card\" content=\"summary_large_image\"\/> \n\t<meta name=\"twitter:creator\" content=\"@WPLN\"\/> \n\t<meta name=\"twitter:site\" content=\"@WPLN\"\/> \n\t<meta name=\"twitter:label1\" content=\"Written by\"\/> \n\t<meta name=\"twitter:data1\" content=\"Jewly Hight\"\/> \n\t<meta name=\"twitter:label2\" content=\"Est. reading time\"\/> \n\t<meta name=\"twitter:data2\" content=\"9 minutes\"\/><\/p>\n\t<\/p>\n<meta property=\"og:title\" content=\"Why new revelations about the training of AI music models hit close to home\"\/> \n<meta property=\"og:description\" content=\"Musicians across the world have taken recent revelations from The Atlantic\u2019s AI watchdog project personally. Embedded in the investigation published by the magazine was a search tool that enabled music-makers to see which of their songs are included in four massive digital data sets. Several of those, including the Free Music Archive, were created for noncommercial use, but they could very well have also been used by Suno, Udio or other AI music companies to train the models on which they\u2019re building business. It\u2019s no wonder that independent artists working in every conceivable style of music, as well as superstars of [\u2026]\"\/> \n<meta property=\"og:image\" content=\"https:\/\/wpln.org\/wp-content\/uploads\/sites\/7\/2026\/07\/Charles-Alexander-pic.jpg\"\/> \n<meta property=\"og:image:width\" content=\"1510\"\/> \n<meta property=\"og:image:height\" content=\"1746\"\/> \n<meta property=\"og:image:type\" content=\"image\/jpeg\"\/> \n<meta property=\"og:type\" content=\"article\"\/> \n<meta property=\"og:article:published_time\" content=\"2026-07-02 04:47:41\"\/> \n<meta property=\"og:article:modified_time\" content=\"2026-07-01 16:45:56\"\/> \n<meta property=\"og:article:tag\" content=\"AI\"\/> \n<meta property=\"og:article:tag\" content=\"Charles Alexander\"\/> \n<meta property=\"og:article:tag\" content=\"ELVIS Act\"\/> \n<meta property=\"og:article:tag\" content=\"music AI\"\/> \n<meta property=\"og:article:tag\" content=\"technology\"\/> \n<meta property=\"og:article:tag\" content=\"The Elvis Act\"\/> \n<meta property=\"og:article:tag\" content=\"ViNiL\"\/> \n<meta property=\"og:locale\" content=\"en_US\"\/> \n<meta name=\"twitter:card\" content=\"summary_large_image\"\/> \n<meta name=\"twitter:title\" content=\"Why new revelations about the training of AI music models hit close to home\"\/> \n<meta name=\"twitter:description\" content=\"Musicians across the world have taken recent revelations from The Atlantic\u2019s AI watchdog project personally. Embedded in the investigation published by the magazine was a search tool that enabled music-makers to see which of their songs are included in four massive digital data sets. Several of those, including the Free Music Archive, were created for noncommercial use, but they could very well have also been used by Suno, Udio or other AI music companies to train the models on which they\u2019re building business. 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