The term "distributed ledger for AI models" originates from the fields of blockchain, artificial intelligence and digital transformation.
A distributed ledger is a technology in which data is not stored centrally on a single server, but simultaneously on many independent computers. In the case of AI models, this means that information about the development, use and changes to an AI model is documented and shared in a decentralised manner. This means that everyone can see who made which changes to the model and when - providing greater transparency and security.
A simple example: several companies are working together on an AI model for recognising credit card fraud. All companies involved can see exactly when a company improves or trains the model via the distributed ledger. This allows everyone to understand how the AI model arrives at its decisions, and possible errors or manipulations become immediately visible.
The widespread aim 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 on intelligent systems in a trusting and efficient manner.















