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In April, an anonymous TikToker released a song, “Heart on my Sleeve,” that was listened to by millions of people before being taken down by various streaming platforms. The problem? The song wasn’t by the famous artists Drake and The Weeknd. It was generated by artificial intelligence that mimicked their voices. This song and other examples of AI-generated media have sparked a debate among artists, lawmakers, and others about whether and how generative AI should be allowed to learn from copyrighted works. As the U.S. Copyright Office, courts, and Congress look to tackle the issue, is there a way to balance the interests of human creators, AI developers, and consumers? Evan is joined by Daniel Takash, regulatory policy fellow at Niskanen Center, a nonprofit public policy organization based in Washington, DC. You can read his work on copyright and other topics here.
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In April, an anonymous TikToker released a song, “Heart on my Sleeve,” that was listened to by millions of people before being taken down by various streaming platforms. The problem? The song wasn’t by the famous artists Drake and The Weeknd. It was generated by artificial intelligence that mimicked their voices. This song and other examples of AI-generated media have sparked a debate among artists, lawmakers, and others about whether and how generative AI should be allowed to learn from copyrighted works. As the U.S. Copyright Office, courts, and Congress look to tackle the issue, is there a way to balance the interests of human creators, AI developers, and consumers? Evan is joined by Daniel Takash, regulatory policy fellow at Niskanen Center, a nonprofit public policy organization based in Washington, DC. You can read his work on copyright and other topics here.
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