Transparency

This framework provides transparency through several architecture design elements:

Blockchain Technology: By leveraging blockchain technology, all transactions, updates, and changes to the machine learning models are recorded on a transparent and immutable ledger. This ensures that every modification made to the model is traceable and auditable by all participants.

Public Accessibility: The machine learning models and associated datasets are shared publicly on the blockchain, allowing anyone to access and inspect them. This openness promotes transparency as users can see how the models were trained and updated over time.

Smart Contracts: Smart contracts are used to facilitate the deployment, updating, and maintenance of the models. These contracts are transparent and automatically execute predefined actions based on predetermined conditions, ensuring that the model updating process is transparent and verifiable.

Crowdsourcing: The framework encourages crowdsourcing for model improvement, allowing a diverse community of contributors to participate in enhancing the models. This open collaboration fosters transparency as contributors can see and verify each other's contributions.