Creative Commons has announced 'CC Signals', a signaling system that can re-establish the principles of content sharing and reuse in the era of artificial intelligence (AI). This project started from the awareness of the problem that the rights and expectations of creators are being ignored in the process of AI collecting and learning web data, and has started collecting public opinions with the goal of releasing the alpha version in November.
CC Signals is a technical and social tool that helps content providers express clearly how they want their data to be used to train AI models. While it may be legally binding, it fundamentally emphasizes ethical principles based on reciprocity and community spirit.
In this announcement, Creative Commons pointed out that while AI developments are rapidly absorbing public web data, the consent or compensation of content producers and managers is being ignored in the process. As a result, some creators are moving toward restricting or blocking content sharing, threatening the entire open knowledge ecosystem.
CC Signals aims to resolve this conflict by proposing a new standard for content reuse based on three elements: ‘Credit’, ‘Financial Sustainability’, and ‘Non-monetary Contribution’. It is a structure that encourages AI developers or companies to contribute or provide feedback in a certain way when using content.
Creative Commons warns that “knowledge belongs to everyone, and without responsible reuse and collective agreement, the digital commons as a public asset could disappear,” and that “we need a new social contract that goes beyond simple copyright discussions.”
This project is being developed in collaboration with organizations from various fields, and related reports and technical implementation documents can be viewed on the website. Anyone can participate by submitting opinions, making donations, or participating in the project.
