Governance Checklist for AI-Assisted Code

This checklist serves as a guide for organizations to govern AI-assisted code effectively. It outlines key areas of focus, including visibility and control, human review, build quality and architecture, accountability and governance, and security and compliance. The document emphasizes the importance of knowing which teams and tools are using AI to write code and measuring the extent of AI assistance in code development. It highlights the necessity of human review for AI-assisted code to ensure it integrates properly into existing systems. Additionally, the checklist stresses that AI should not make major system-level decisions and that organizations must maintain accountability for AI governance. Security measures are also discussed, including scanning AI-generated code for potential security issues and legal risks. The checklist aims to help organizations assess their current practices and improve their governance of AI-assisted code to enhance productivity while managing associated risks.