This post outlines our latest research on integrating AI decision-making with blockchain-based governance systems to ensure ethical oversight and transparency in machine learning operations.
We implement blockchain-based voting mechanisms for all AI decision thresholds and policy updates, ensuring transparent and auditable oversight.
Every AI model decision is recorded in a cryptographic proof format, allowing rigorous verification without revealing proprietary information.
{
"governance": {
"required_votes": "quadratic_voting",
"validator_nodes": 128,
"min_stake": "5 ETH",
"audit_frequency": "real_time"
},
"ai": {
"model_type": "transformer-based",
"decision_threshold": 0.85,
"privacy": "homomorphic_encryption"
}
}
Current consensus algorithms require optimization to handle high-frequency AI governance updates without compromising throughput.
Ensuring AI decisions remain aligned with human values even as systems evolve autonomously through governance processes.
Our working group is open to researchers who want to help shape the future of AI governance and decentralized systems.
Get Involved in Governance Research