"For decades, publishers large and small have created the news, culture, entertainment, and educational resources that shape how society consumes information. Yet in recent years, the rise of artificial intelligence has added a new twist to the ongoing struggle for sustainable publishing. AI companies are building tools capable of generating responses, summaries, and insights trained on vast amounts of web content. The problem? Many publishers see little to no compensation for their role in shaping the data that fuels these systems."
"Now, a new effort is taking shape-one that could rebalance the relationship between publishers and AI companies. Called Really Simple Licensing (RSL), the framework builds on the familiar robots.txt standard that has long governed how websites communicate with search engines. But RSL goes further: it introduces a structured way for publishers to set licensing terms, demand compensation, and ensure attribution when AI companies use their content to train models or generate responses."
Artificial intelligence increasingly trains on news, blogs, academic work, and entertainment material without direct licensing or payments to original publishers. Really Simple Licensing (RSL) adapts the robots.txt approach to let publishers declare structured licensing terms, require compensation, and demand attribution when AI systems use their content for training or responses. A coalition of major web platforms, independent creators, and the RSL Collective nonprofit supports the effort. Publishers also experiment with AI tools for translation and personalization, but widespread unlicensed ingestion of their work raises financial and ethical questions about who benefits and how content is valued.
Read at stupidDOPE | Est. 2008
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