Summary
This document is an AI compliance checklist designed to assist AI teams and legal departments in navigating the complexities of data privacy, security, bias, and accountability throughout the AI lifecycle. It outlines several key areas of focus, beginning with data privacy, where organizations are advised to ensure compliance with laws such as GDPR and CCPA. The checklist includes actionable steps such as conducting Data Protection Impact Assessments and establishing data retention policies. Further sections address data minimization, consent and transparency, security measures, bias mitigation, and accountability, providing specific action steps for each area. Additionally, it emphasizes the importance of post-launch audits and the review of ethical AI principles, as well as due diligence on third-party AI systems. The checklist is intended to be a living document that evolves with organizational AI projects and regulatory changes, promoting ethical and responsible AI development.
