In the wake of Anthropic’s $1.5 billion copyright settlement, the AI industry is coming to terms with its training data problem. There are as many as 40 other pending cases that seek damages for unlicensed data — including one that takes Midjourney to court for creating images of Superman.
Without some kind of licensing system, AI companies could face an avalanche of copyright lawsuits that some worry will set the industry back permanently.
Now, a group of technologists and web publishers has launched a system that would enable data licensing at massive scale — provided AI companies take them up on it. Called Real Simple Licensing (RSL), the system is already being backed by major web publishers like Reddit, Quora and Yahoo. The question now is if that momentum will be enough to bring major AI labs to the bargaining table.
According to RSL co-founder Eckart Walther, who also co-created the RSS standard, the goal was to create a training-data licensing system that could scale across the internet. “We need to have machine-readable licensing agreements for the internet,” Walther told TechCrunch. “That’s really what RSL solves.”
For years, groups like the Dataset Providers Alliance have been pushing for clearer collection practices, but RSL is the first attempt at a technical and legal infrastructure that could make it work in practice. On the technical side, the RSL Protocol lays out specific licensing terms a publisher can set for their content, whether that means AI companies need a custom license or to adopt Creative Commons provisions. Participating websites will include the terms as part of their “robots.txt” file in a prearranged format, making it straightforward to identify which data falls under which terms.
On the legal side, the RSL team has established a collective licensing organization, the RSL Collective, that can negotiate terms and collect royalties, similar to ASCAP for musicians or MPLC for films. As in music and film, the goal is to give licensors a single point of contact for paying royalties, and provide rightsholders a way to set terms with dozens of poten …