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AI Model Card Policy
AI Model Card Policy Template — Documentation
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  • Create Date August 24, 2025
  • Last Updated August 24, 2025

 AI Model Card Policy Template

Subtitle: Establish standardized documentation practices with an audit-ready AI Model Card Policy Template aligned to global compliance frameworks.

Set Policy For AI Model Card Governance: [Download Now]



The AI Model Card Policy Template is a ready-to-use governance framework for documenting AI models consistently across their lifecycle. By implementing this policy, organizations ensure compliance with EU AI Act Annex IV documentation obligations, ISO/IEC 42001 governance standards, and NIST AI RMF transparency principles.

Key Benefits:

  • Documentation Standardization: Consistent model cards for all production and high-risk AI systems.

  • Compliance Ready: Aligned to EU AI Act Annex IV, ISO 42001, and NIST AI RMF.

  • Governance Built-In: RACI matrix for roles, review workflows, and accountability.

  • Transparency & Trust: Improves communication with stakeholders and regulators.

  • Lifecycle Integration: Works across model development, deployment, and monitoring stages.

Who Uses This?
Compliance officers, data science leaders, MLOps managers, and governance committees who need a formal AI Model Card Policy Template to ensure regulatory compliance and organizational accountability.


Why This Matters

The EU AI Act explicitly requires technical documentation for high-risk systems, including model details, datasets, performance metrics, and limitations. Without a robust AI Model Card Policy Template, organizations risk non-compliance, poor documentation, and audit failures. This template provides a repeatable framework to embed model cards into governance, risk, and compliance processes.

Framework Alignment

The AI Model Card Policy Template maps to:

  • EU AI Act Annex IV — Technical documentation obligations.

  • NIST AI RMF — Documentation for trustworthy AI principles.

  • ISO/IEC 42001 & 23894 — AI governance and risk management standards.

  • OECD AI Principles — Transparency and accountability.

  • MLOps Integration — Incorporates CI/CD stage gates and monitoring updates.

Key Features

  • Governance Structure: Leadership commitment, RACI roles, oversight committee.

  • Triggers for Model Card Creation: Production deployment, retraining, high-risk systems, scope changes.

  • Model Documentation Requirements: Model name, architecture, datasets, training methods, evaluation results.

  • Risk & Ethical Considerations: Bias assessment, fairness metrics, privacy, environmental impact.

  • Mitigation Measures: Steps for bias reduction, robustness testing, oversight mechanisms.

  • Performance Metrics: Benchmarks, uncertainty measures, subgroup analysis.

  • Compliance & Standards Adherence: EU AI Act Annex IV mapping, ISO 42001 requirements, certifications.

  • Review & Approval Workflow: Technical, ethical, legal, and product review with documented audit trail.

  • Maintenance & Lifecycle Management: Version control, periodic reviews, regulatory updates.

  • Storage & Accessibility: Centralized repository, access control, governance tool integration.

Comparison Table

Feature Generic Documentation AI Model Card Policy Template
Documentation triggers Minimal High-risk, retraining, scope change, pre-deployment
Regulatory alignment None EU AI Act Annex IV, ISO/IEC 42001, NIST AI RMF
Governance roles Vague Defined RACI matrix + oversight committees
Risk & ethics documentation Limited Bias, fairness, privacy, environmental impact
Audit trail & versioning Absent Version control, approvals, lifecycle updates
Integration with MLOps Not addressed CI/CD pipelines + automated validation checks

FAQ Section

Q1: What is the AI Model Card Policy Template?
A: It is a structured policy template that defines how organizations create and manage AI model cards, ensuring transparency, accountability, and compliance.

Q2: Which frameworks does this policy align with?
A: It maps to EU AI Act Annex IV, ISO/IEC 42001, NIST AI RMF, and OECD AI Principles.

Q3: Does it include lifecycle management requirements?
A: Yes. The template includes review triggers, version control, incident-driven updates, and integration with CI/CD pipelines.

Q4: Does it support compliance with EU AI Act Annex IV?
A: Yes. The AI Model Card Policy Template explicitly maps documentation sections to EU AI Act Annex IV requirements.

Q5: Is it suitable for SMEs as well as large enterprises?
A: Yes. SMEs can apply streamlined documentation, while enterprises can integrate with full governance and MLOps workflows.

Q6: What format is best for using this template?
A: Documents are best viewed and used via Microsoft Word or Excel. Formatting may not fully display in Google Docs or other editors.

Ideal For

  • Data Science & MLOps Teams

  • Compliance Officers & Legal Teams

  • AI Governance Committees

  • Risk & Audit Teams

  • Product Owners & AI Lifecycle Managers

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Tech Jacks Solutions

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