AI Compliance Checklist

Free, practical scorecard to help you assess governance, risk, data practices, and legal readiness for AI projects. Check items to track readiness.

Leadership & AI Strategy

0/4

We have a clearly designated AI leader or committee accountable for governance.Our leadership has reviewed and approved formal policies for AI development and use.AI projects undergo a structured review process before launch (not just IT approval).We have a playbook for handling AI incidents (bias, errors, PR crises).

Risk Management & Ethics

0/4

We conduct standardized risk assessments for all new AI use cases.Our team knows how to test for bias in AI models and training data.We've defined which AI decisions require human review and have a process for it.There's a clear channel for users to challenge or report AI-driven decisions.

Data Integrity & Transparency

0/4

We can document the legal basis and provenance for all data used in AI training.Our AI systems are designed with privacy-by-design principles (like data minimization).We can explain our AI's decisions to internal stakeholders in understandable terms.Our AI models are regularly monitored for performance drift and accuracy decay.

Legal Foresight & Security

0/3

We are actively tracking AI regulations relevant to our industry.We assess third-party AI vendors for compliance before integration.Our AI systems have role-based access controls and are included in security audits.

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