Why Identifying AI-Created Songs Is Crucial for Market Transparency (Guest Column)

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AI-generated songs are growing. Here's why identifying them is crucial for market transparency, according to Nathalie Birocheau of Ircam Amplify.

A few weeks back, a member of the team at my company, Ircam Amplify, joined one of the multiple AI music generators available online and input a brief prompt for a song. Within minutes, a new track was generated and promptly uploaded to a distribution platform. In just a couple of hours, that song, in which no human creativity played a part, was available on various streaming platforms.

In the interest of transparency, consumers surely deserve to know whether the music they are tuning into is the genuine product of human creativity or derived from computer algorithms. But how can AI-generated tracks be easily distinguished? Solutions already exist. At Ircam Amplify, we offer a series of audio tools, from spatial sound to vocal separator, that cover the full audio supply chain.

Discussions around transparency and AI are gaining traction all around the world. From Tokyo to Washington, D.C., from Brussels to London, policymakers are considering new legislation that would require platforms to identify AI-generated content. That is the second recommendation in the recent report “Artificial Intelligence and the Music Industry — Master or Servant?” published by the UK Parliament. Consumers are also demanding it.

These overwhelming numbers tell us that concerns about AI are prevalent within creative circles and are also shared by consumers. There are multiple calls for the ethical use of AI, mostly originating from rights holders — artists, record labels, music publishers, collective management organizations, etc. — and transparency is usually at the core of these initiatives.

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