Source URL: https://entertainment.slashdot.org/story/25/06/22/1747250/how-the-music-industry-is-building-the-tech-to-hunt-down-ai-generated-songs?utm_source=rss1.0mainlinkanon&utm_medium=feed
Source: Slashdot
Title: How the Music Industry is Building the Tech to Hunt Down AI-Generated Songs
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Summary: The text discusses ongoing efforts to create traceability for generative music through advanced detection systems. These systems, which are being integrated within the entire music production and distribution process, aim to identify synthetic audio early and manage its rights effectively. Notably, platforms like Deezer and YouTube are implementing measures to flag AI-generated content, ensuring that rights holders are informed about the use of their work.
Detailed Description:
The article highlights significant developments in the music industry regarding the management and integration of generative music through AI technologies. The focus is on traceability, moderation, and proper licensing of synthetic audio. Below are the key aspects of the content:
– **Integration of Detection Systems:**
– Detection mechanisms are being incorporated throughout the music pipeline, from training tools to platforms for uploading songs and rights management databases.
– Companies like Audible Magic and Pex are enhancing their features to moderate and attribute AI-generated content, ensuring better governance over synthetic audio.
– **Use of Technology in Monitoring:**
– Organizations such as Vermillio and Musical AI are developing innovative tools like TraceID, which break down songs into their core components (stems) to pinpoint AI-generated sections.
– This technology allows rights holders to determine if a track contains protected elements and aids in proactive licensing before a song’s release.
– **Focus on Licensing and Attribution:**
– The aim is to evolve from post-release disputes to a refined approach where royalties might be calculated based on the influence exerted by original works on newly generated music.
– Deezer’s internal tools have reportedly flagged a significant number of fully AI-generated tracks during uploads, allowing for better management of AI content relative to user recommendations.
– **Early Detection Initiatives:**
– Spawning AI’s DNTP (Do Not Train Protocol) represents a further advance that enables artists and rights holders to designate their works as unsuitable for model training, thereby protecting their creative contributions upfront.
– **Current Trends and Data:**
– Statistics shared indicate a notable increase in the detection of AI-generated tracks on platforms, indicating a growing emphasis on managing synthetic content effectively.
This text is highly relevant for professionals in the music, AI, and compliance domains, as it discusses the intersection of technology and intellectual property rights, focusing on how emerging AI capabilities impact content governance.