# Integrating a Blockchain-Based Governance Framework for Responsible AI
## 3 System Architecture and Information Flow
This can lead to more efficient and cost-effective data processing [103], in turn resulting in lower energy consumption and cost, as less computation is required to transform the data before storing in the smart contract. Additionally, ELT can reduce the complexity of the data pipeline and the need to maintain a separate data warehousing infrastructure, which can lead to lower energy consumption and cost. Verification and Authentication of Smart ContractsThe verification process for smart contracts for responsible AI involves a combination of technical and non-technical checks to ensure that the contract functions as intended and aligns with ethical and responsible AI principles [104]. One of the key technical checks is code review, where the contract's code is examined line by line to ensure that it functions as intended and does not contain any errors or vulnerabilities that could be exploited [105]. This can be done manually by human experts or through the use of automated tools. Another important check is testing, where the contract is run through a series of tests to ensure that it behaves as expected in different scenarios. This can include testing the contract's performance, security, and compliance with relevant regulations [106]. In addition to technical checks, there are non-technical checks that must be performed to ensure that the contract is aligned with ethical and responsible AI principles. This may include a review of the contract's impact on privacy, fairness, and accountability [107]. Additionally, it could include the contract's alignment with the organization's values and policies. After all the checks have been completed and any necessary changes have been made, the contract can be deployed and executed on a blockchain network. It is worth noting that the smart contract verification process is an active area of research and development, and new methods and tools are continually being developed to improve the process. There are several best practices that can be followed during code review for smart contracts to ensure that the contract functions as intended and does not contain any errors or vulnerabilities. * Understand the Business Requirements: Before beginning the code review, it is important to have a clear understanding of the business requirements and the intended use case of the contract. This can help to ensure that the review is focused on the relevant issues. * Use Automated Tools: Automated tools can be used to help identify potential errors and vulnerabilities in the code. This can include static analysis tools, which analyze the code without executing it, and dynamic analysis tools, which execute the code and monitor its behavior. * Review the Code Manually: While automated tools can be useful, they cannot replace manual code review. It is important to have human experts review the code to ensure that it is clear and readable and that it meets the business requirements. * Pay Attention to Security: Smart contracts are particularly sensitive to security issues, and it is important to pay special attention to potential vulnerabilities such as re-entrancy, integer overflow, and underflow, and denial of service. * Check for Compliance: Make sure that the smart contract is compliant with any relevant regulations, industry standards, and best practices. * Test the Code: After the code has been reviewed and any necessary changes have been made, it is important to test the contract to ensure that it behaves as expected in different scenarios. * Keep Track of the Changes: It is important to keep track of all the changes made during the code review process to ensure that any issues can be traced back to their source. * Continuously Monitor: Smart contracts are deployed on the blockchain and are meant to run for a long time, so it is important to continuously monitor the contract for any issues, vulnerabilities, or bugs.