The term „Distributed Ledger for AI Models“ originates from the fields of blockchain, artificial intelligence, and digital transformation.
A distributed ledger is a technology where data is not stored centrally on a single server, but simultaneously on many independent computers. For AI models, this means that information about the development, use, and changes to an AI model is documented and shared decentrally. This makes it traceable for everyone who made what change to the model and when – this ensures greater transparency and security.
A simple example: Several companies are working together on an AI model to detect credit card fraud. All participating firms can see precisely via the distributed ledger when, for instance, a company improves or trains the model. This way, everyone can trace how the AI model arrives at its decisions, and potential errors or manipulations become immediately visible.
The common goal of a distributed ledger for AI models is therefore to make collaboration safer and more transparent – especially where many different partners want to work together trustworthily and efficiently on intelligent systems.
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