ΛY.ethics

AI Ethics Frameworks

Transparent ethical boundaries for artificial intelligence development through blockchain governance and decentralized accountability.

Blockchain-Driven Ethics

Our AI ethics framework leverages smart contracts to enforce accountability. Every machine learning decision is logged on-chain with verifiable proofs, ensuring both privacy and complete auditability through cryptographic attestation.

  • Transparency: Public verification of AI training data sources
  • Consent: Zero-knowledge proofs for user approval of AI usage
  • Governance: Voting systems for algorithmic bias detection
  • Reproducibility: Immutably stored model versions

Top AI Ethics Challenges

Algorithmic Bias

We use on-chain diversity metrics and adversarial voting systems to detect training data biases in real-time. Every model deployment requires passing multi-chain bias audits.

Accountability

Every AI action creates immutable records in our EVM-based governance. Smart contracts automatically penalize models that produce harmful outputs while rewarding ethical behavior.

Explore Framework Options

Fair ML

Framework ensures AI systems maintain fairness across protected attributes using on-chain fairness metrics.

Responsible AI

Governance-based framework requiring stakeholder approval for AI deployment decisions.

Privacy-Preserving AI

Zero-knowledge proof implementation for AI models trained on sensitive data.

Help Shape AI Ethics

Join philosophers, cryptographers, and AI researchers in designing the next generation of ethical AI governance tools through blockchain-based decision frameworks.

Participate in Ethics Design