TDM·AI 𐂂 – Asset-Based Opt-Out
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TDM·AI is a protocol that lets creators and rightsholders bind machine-readable opt-out declarations for text and data mining (TDM) directly to their digital content. It is specifically designed to effectively exclude content from unauthorised data sets used to train models and applications of generative AI, making use of the benefits of the International Standard Content Code (ISCC) and Creator Credentials.
In the evolving digital landscape, there's an urgent need for creators and rightsholders to control how their content is used, especially concerning AI training. TDM·AI addresses this need by providing a standardized method for machine-readable declarations, ensuring that AI developers can easily recognize and respect these preferences.
Liccium's TDM·AI protocol describes the method of "soft-binding" rights reservations to ISCC codes, such as an opt-out declaration. To be effective, rights reservations must be:
Inseparably bound to the content (unit, work or asset based approach), allowing sharing and distribution of content;
Easily discoverable, accessible and machine-readable (legal requirement in the EU);
Functional when content already has been shared and distributed;
Resilient to content manipulation or alteration;
Resilient to the removal of embedded metadata and visible or invisible watermarks;
Containing verifiable attribution through digital signatures and certificates which authenticate the declaration's source and prevent false claims;
Functional for all media types and file formats;
Utilising verifiable timestamps;
Based on reliable and transparent international standards (ISO, W3C).
For more detailed information, visit the TDM·AI documentation.
The ISCC is an open system for content-derived identification of digital media across various formats, including text, image, audio, and video. It allows for the generation of unique identifiers without the need for prior registration, ensuring robustness even when metadata is removed or content is altered.
Creator Credentials are cryptographically verifiable credentials based on W3C recommendations. They provide a self-sovereign, portable, and interoperable framework for digital identity management, enhancing trust and authenticity in declarations made by creators and rightsholders.
TDM·AI proposes a "soft-binding" method, associating rightsholder preferences with content-derived identifiers like ISCC codes. This approach ensures that preferences remain linked to the content even if metadata is stripped or the content is modified.
The TDM·AI protocol defines machine-readable declarations for rightsholders to specify their preferences regarding TDM for AI training purposes. These declarations can either prohibit or permit the use of content for training generative AI models.
For more detailed information, visit the TDM·AI documentation.
