Decentralized identity management enables secure and transparent data sharing for AI training and testing through:

1. _Data Encryption_: Data is encrypted, ensuring only authorized access.

2. _Data Hashing_: Data is hashed, creating a unique digital fingerprint for integrity verification.

3. _Data Tokenization_: Data is tokenized, allowing for secure and permissioned sharing.

4. _Smart Contracts_: Data sharing is governed by smart contracts, ensuring compliance with regulations.

5. _Decentralized Data Storage_: Data is stored across a decentralized network, reducing the risk of single-point failure.

6. _Data Access Control_: Access to data is restricted, with permissions granted only to authorized parties.

7. _Transparent Data Provenance_: Data origin, ownership, and usage are transparent and visible.

8. _Decentralized Data Marketplaces_: Data is shared and traded in a decentralized marketplace, ensuring fair compensation for data providers.

By utilizing these measures, decentralized identity management ensures that data sharing for AI training and testing is secure, transparent, and fair, promoting innovation and collaboration in the AI ecosystem.