Accelerate your AI governance program with ready-to-use templates, checklists, and implementation guides. All resources are free and customizable to your organization's needs.
AI governance can seem daunting, especially when starting from scratch. These templates provide concrete starting points, reducing the time and effort required to build your governance program.
All templates are based on real-world implementation experience and incorporate best practices from NIST AI RMF and ISO 42001 while remaining accessible and adaptable. They're provided in editable formats so you can customize them to match your organization.
These resources are completely free and openly available. Use them, modify them, share them. Our goal is advancing AI governance practices industry-wide.
Comprehensive policy template defining acceptable AI usage, prohibited activities, data handling requirements, and approval processes. Includes sections for generative AI, model development, and third-party AI services.
Structured checklist for evaluating AI systems across fairness, security, privacy, compliance, and operational risk dimensions. Includes risk scoring methodology and mitigation planning templates.
Decision framework for evaluating and selecting AI tools and vendors. Covers functionality, security, privacy, compliance, vendor viability, and total cost of ownership.
Comprehensive incident response playbook for AI-related incidents including bias issues, security breaches, privacy violations, and performance failures.
Template charter for establishing AI governance or ethics committees. Defines purpose, scope, membership, responsibilities, and operating procedures.
Spreadsheet template for cataloging AI systems with fields for system details, use case, data sources, stakeholders, risk classification, and compliance status.
Practical guide to testing AI systems for bias and fairness issues. Covers fairness metrics, testing methodologies, demographic data collection, and remediation strategies.
Pre-drafted contract language for AI vendor agreements covering data usage, model ownership, security requirements, compliance obligations, audit rights, and liability.
Structured template for documenting AI models covering intended use, training data, performance metrics, limitations, bias testing results, and monitoring requirements.
Detailed self-assessment tool for evaluating governance maturity across the five pillars. Includes scoring rubric, gap analysis, and prioritized improvement roadmap.
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Review each template to understand its structure. Customize terminology, processes, and requirements to match your organization.
Involve relevant stakeholders in reviewing and refining templates. Gather input from legal, compliance, security, and business teams.
Deploy templates in practice and gather feedback. Refine based on real-world usage. Templates are starting points, not final solutions.
Explore our comprehensive framework for detailed guidance on implementing each aspect of AI governance.
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