A comprehensive technical outline of our decentralized AI infrastructure framework combining AI, blockchain, and decentralized governance to create an ethical, secure, and collaborative research environment.
EpsilonLambda introduces a decentralized infrastructure framework combining AI development and blockchain governance to create a transparent, secure, and community-driven ecosystem for ethical AI research. This whitepaper outlines technical mechanisms that enable transparent model governance, decentralized collaboration, and secure data integrity across global research teams.
Traditional AI development suffers from data silos, centralized control, and limited ethical oversight. This whitepaper proposes a blockchain-based infrastructure that enables secure AI collaboration while maintaining:
Zero-knowledge proofs ensure research transparency without exposing raw data
Blockchain-based model lineage tracking for full research accountability
Decentralized model validation through community-driven governance
Our solution balances innovation with ethical considerations through cryptographic verification, multi-stakeholder consensus, and decentralized execution of AI research operations.
contract ModelValidator {
struct Model {
address public validator;
uint public votes;
mapping(address => bool) already_voted;
}
mapping(bytes32 => Model) public models;
function submitModel(bytes32 modelId) external {
require(models[modelId].validator == address(0), "Model already submitted");
models[modelId] = Model({
validator: msg.sender,
votes: 0
});
}
function vote(bytes32 modelId) external {
require(models[modelId].validator != address(0), "Model does not exist");
require(models(modelId).already_voted.has(msg.sender, "Voted");
models(modelId).votes += getValidatorPoints(msg.sender);
models(modelId).already_voted.set(msg.sender, true);
}
function getValidatorPoints(address validator) public view returns(uint) {
return getStakedTokens(validator);
}
}