Decentralized identity management enables tracking the origin, development, and usage of AI models through:

1. _Immutable Ledger_: AI model development and usage are recorded on an immutable ledger.

2. _Decentralized Version Control_: AI model versions are tracked and verified.

3. _Transparent AI Development Process_: AI development processes and contributors are visible.

4. _AI Model Ownership and Licensing_: AI model ownership and licensing are transparent and secure.

5. _Decentralized Data Lineage_: Data used to train AI models is tracked and transparent.

6. _AI Model Testing and Validation_: AI model testing and validation processes are transparent.

7. _Decentralized AI Model Registry_: AI models are registered and tracked in a decentralized registry.

8. _Open Standards and Interoperability_: AI provenance data is built on open standards, enabling interoperability.

By implementing these measures, decentralized identity management ensures that AI models are transparent, traceable, and trustworthy, promoting accountability and responsibility in AI development and deployment.