Smart contracts can be designed to govern who can access specific data in a Decentralized AI system. By setting predefined conditions in the contract, we can ensure that only authorized entities can access and use the data, thereby maintaining data privacy and security.
Solidity
pragma solidity ^0.8.0;
contract DataAccessControl {
address public dataOwner;
mapping(address => bool) public authorizedEntities;
modifier onlyAuthorized() {
require(authorizedEntities[msg.sender], "Not authorized");
_;
}
function grantAccess(address _entity) public {
require(msg.sender == dataOwner, "Only the owner can grant access");
authorizedEntities[_entity] = true;
}
function revokeAccess(address _entity) public {
require(msg.sender == dataOwner, "Only the owner can revoke access");
authorizedEntities[_entity] = false;
}
function accessData() public view onlyAuthorized returns(string memory) {
return "Here's the data you requested!";
}
}
This contract allows the data owner to grant or revoke access to specific entities. Only those with granted access can retrieve the data.
In Decentralized AI networks, contributors (like data providers or model trainers) can be incentivized through rewards. Smart contracts can automate this reward distribution based on predefined criteria.
Solidity
pragma solidity ^0.8.0;
contract RewardDistribution {
address public admin;
mapping(address => uint) public rewards;
function distributeReward(address _contributor, uint _amount) public {
require(msg.sender == admin, "Only admin can distribute rewards");
rewards[_contributor] += _amount;
}
function claimReward() public {
uint reward = rewards[msg.sender];
require(reward > 0, "No rewards to claim");
rewards[msg.sender] = 0;
payable(msg.sender).transfer(reward);
}
}
This contract allows the admin to distribute rewards to contributors, who can then claim their rewards.
DAI dApps rely on smart contracts to ensure that all operations within the app are transparent, safe, and decentralised. A smart contract, for example, may be used by a DAI dApp to handle user registrations, data submissions, and AI model training requests.
The application cases for smart contracts become more complex as we progress in the area of Decentralized AI. The possibilities are endless, from performing sophisticated multi-party computations to providing real-time changes in AI models based on blockchain data. In later courses, we’ll go through more advanced cases.
Remember that the above code examples are only for demonstration reasons. To see them in action, you can test and change them in the Remix IDE. Always ensure extensive testing and auditing while working with smart contracts, especially in a live setting.
This lesson has provided a more in-depth understanding of smart contracts’ function in Decentralized AI. As we progress, we’ll look at more sophisticated principles as well as the actual uses and challenges of combining AI and blockchain technologies.
Smart contracts can be designed to govern who can access specific data in a Decentralized AI system. By setting predefined conditions in the contract, we can ensure that only authorized entities can access and use the data, thereby maintaining data privacy and security.
Solidity
pragma solidity ^0.8.0;
contract DataAccessControl {
address public dataOwner;
mapping(address => bool) public authorizedEntities;
modifier onlyAuthorized() {
require(authorizedEntities[msg.sender], "Not authorized");
_;
}
function grantAccess(address _entity) public {
require(msg.sender == dataOwner, "Only the owner can grant access");
authorizedEntities[_entity] = true;
}
function revokeAccess(address _entity) public {
require(msg.sender == dataOwner, "Only the owner can revoke access");
authorizedEntities[_entity] = false;
}
function accessData() public view onlyAuthorized returns(string memory) {
return "Here's the data you requested!";
}
}
This contract allows the data owner to grant or revoke access to specific entities. Only those with granted access can retrieve the data.
In Decentralized AI networks, contributors (like data providers or model trainers) can be incentivized through rewards. Smart contracts can automate this reward distribution based on predefined criteria.
Solidity
pragma solidity ^0.8.0;
contract RewardDistribution {
address public admin;
mapping(address => uint) public rewards;
function distributeReward(address _contributor, uint _amount) public {
require(msg.sender == admin, "Only admin can distribute rewards");
rewards[_contributor] += _amount;
}
function claimReward() public {
uint reward = rewards[msg.sender];
require(reward > 0, "No rewards to claim");
rewards[msg.sender] = 0;
payable(msg.sender).transfer(reward);
}
}
This contract allows the admin to distribute rewards to contributors, who can then claim their rewards.
DAI dApps rely on smart contracts to ensure that all operations within the app are transparent, safe, and decentralised. A smart contract, for example, may be used by a DAI dApp to handle user registrations, data submissions, and AI model training requests.
The application cases for smart contracts become more complex as we progress in the area of Decentralized AI. The possibilities are endless, from performing sophisticated multi-party computations to providing real-time changes in AI models based on blockchain data. In later courses, we’ll go through more advanced cases.
Remember that the above code examples are only for demonstration reasons. To see them in action, you can test and change them in the Remix IDE. Always ensure extensive testing and auditing while working with smart contracts, especially in a live setting.
This lesson has provided a more in-depth understanding of smart contracts’ function in Decentralized AI. As we progress, we’ll look at more sophisticated principles as well as the actual uses and challenges of combining AI and blockchain technologies.