Example: AI Governance Smart Contract for Bias Audit and Consensus Decision

This Solidity smart contract example demonstrates how to implement AI-specific governance protocols within the Evire AI Framework. The contract includes mechanisms for managing bias audits and facilitating consensus-based decision-making for AI-driven actions. The purpose of this contract is to ensure transparency, fairness, and accountability in AI operations by embedding checks and balances directly into the blockchain.

The purpose of this example is to show how blockchain technology can be used to support and enforce governance protocols in AI applications. This includes ensuring that AI model decisions are audited for biases, transparent, and subject to community or stakeholder approval before being executed, particularly in sensitive or high-stakes scenarios. The example aims to illustrate how smart contracts can serve as an effective tool for implementing ethical guidelines and maintaining rigorous standards in AI deployment.

Solidity Smart Contract Code

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.4;

/**
 * @title AI Governance Smart Contract for Bias Audit and Consensus Decision
 * @dev This contract manages bias audits and facilitates consensus-based AI decisions.
 */
contract AIGovernance {
    // Event declarations for logging activities
    event BiasAuditRequested(uint256 modelId);
    event BiasAuditCompleted(uint256 modelId, bool isBiasFree);
    event DecisionProposed(uint256 decisionId, string description);
    event DecisionApproved(uint256 decisionId, bool approved);

    // Struct to hold details about AI decisions
    struct AIDecision {
        string description;
        bool approved;
        bool executed;
    }

    // Mapping from model ID to bias audit status
    mapping(uint256 => bool) public biasAuditStatus;

    // Mapping from decision ID to AI Decision details
    mapping(uint256 => AIDecision) public decisions;

    // Array of stakeholders or validators
    address[] public validators;

    // Modifier to restrict functions to only validators
    modifier onlyValidator() {
        require(isValidator(msg.sender), "Caller is not a validator");
        _;
    }

    // Constructor to initialize validators
    constructor(address[] memory _validators) {
        validators = _validators;
    }

    // Function to check if an address is a validator
    function isValidator(address _address) public view returns (bool) {
        for (uint i = 0; i < validators.length; i++) {
            if (validators[i] == _address) {
                return true;
            }
        }
        return false;
    }

    // Function to request a bias audit for an AI model
    function requestBiasAudit(uint256 _modelId) public onlyValidator {
        emit BiasAuditRequested(_modelId);
        // Bias audit logic would be implemented here
    }

    // Function to record the outcome of a bias audit
    function completeBiasAudit(uint256 _modelId, bool _isBiasFree) public onlyValidator {
        biasAuditStatus[_modelId] = _isBiasFree;
        emit BiasAuditCompleted(_modelId, _isBiasFree);
    }

    // Function to propose an AI-driven decision
    function proposeDecision(uint256 _decisionId, string memory _description) public onlyValidator {
        decisions[_decisionId] = AIDecision({
            description: _description,
            approved: false,
            executed: false
        });
        emit DecisionProposed(_decisionId, _description);
    }

    // Function to approve or reject a proposed decision
    function approveDecision(uint256 _decisionId, bool _approve) public onlyValidator {
        require(!decisions[_decisionId].executed, "Decision already executed");
        decisions[_decisionId].approved = _approve;
        emit DecisionApproved(_decisionId, _approve);

        // Execute the decision if approved
        if (_approve) {
            executeDecision(_decisionId);
        }
    }

    // Private function to execute a decision
    private function executeDecision(uint256 _decisionId) private {
        decisions[_decisionId].executed = true;
        // Decision execution logic would be implemented here
    }
}

Explanation:

• Events: The contract includes events such as BiasAuditRequested and DecisionProposed to log activities and enhance transparency.

• Validators: Validators are predetermined addresses that have the authority to conduct audits, propose, and approve decisions, ensuring that all actions are overseen by trusted entities.

• Bias Audits: Functions like requestBiasAudit and completeBiasAudit manage the bias checking process. These functions ensure that AI models are audited for biases before being deployed or used in making decisions.

• Decision Making: The contract allows validators to propose and approve decisions based on the AI models' outputs. The approveDecision function ensures that decisions are only executed following consensus, aligning with ethical governance protocols.