5.2.2 Blockchain's Role in DeAI

5.2.2 Blockchain's Role in DeAI

Incentive Mechanisms

• Token Rewards for Participation:

  • Stakeholder Engagement: Users and nodes are incentivized to contribute data, computational resources, or validation efforts in exchange for $OMNI tokens.

  • Distributed Training: Encourage participation in federated learning processes by rewarding contributors who provide data or model updates.

Transparent Records

• Immutable Logs of Transactions and Operations:

  • Auditability: All AI model training iterations, data inputs, and decision outputs are recorded on the blockchain, providing a transparent history.

  • Accountability: Transparent records hold participants and the AI system accountable for their actions and decisions.

Security Enhancements

• Encryption and Zero-Knowledge Proofs (ZKP):

  • Data Confidentiality: Employ advanced encryption techniques to protect sensitive data while allowing AI models to process it.

  • Zero-Knowledge Proofs: Use ZKPs to validate transactions or computations without revealing underlying data, enhancing privacy.