It’s creatives vs. computers as artists fight to protect their copyrights.
When Universal Music Group emailed Spotify, Apple Music and other streaming services in March asking them to stop artificial-intelligence companies from using its labels’ recordings to train their machine-learning software, it fired the first Howitzer shell of what’s shaping up as the next conflict between creators and computers.
To someday generate music that rivals the work of human creators, AI models use a process of machine-learning to identify patterns in and mimic the characteristics that make a song irresistible, like that sticky verse-chorus structure of pop, the 808 drums that define the rhythm of hip-hop or that meteoric drop that defines electronic dance. These are distinctions human musicians have to learn during their lives either through osmosis or music education.
Countries around the world have various ways of regulating what’s allowed when it comes to what’s called the text and data mining of copyrighted material for AI training. And some territories are concluding that fewer rules will lead to more business. China, Israel, Japan, South Korea and Singapore are among the countries that have largely positioned themselves as safe havens for AI companies in terms of industry-friendly regulation. In January, Israel’s Ministry of Justice defined its stance on the issue, saying that “lifting the copyright uncertainties that surround this issue [of training AI generators] can spur innovation and maximize the competitiveness of Israeli-based enterprises in both [machine-learning] and content creation.
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