AI Governance and Responsible AI Policy Framework Playbook
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64 professional-grade tools | 349 spreadsheet tabs | 2,730+ rows of structured content
6 PDFs + 58 XLSXs | 11 organised folders | Instant digital download
WHAT YOU GET
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A three-phase methodology: Diagnose, Set Goals, Implement.
7 Domain Assessments (210 questions total, 30 per domain):
1. AI Ethics and Fairness Principles
2. Transparency, Explainability, and Documentation
3. Accountability and Governance Structure
4. Bias Detection and Mitigation
5. Privacy, Data Protection, and Consent
6. Human Oversight and Escalation Protocols
7. Regulatory Alignment and Compliance Monitoring
9 Operational Runbooks and Checklists:
• AI Governance Programme Setup Runbook (4 sheets, 40 data rows)
• Responsible AI Policy Drafting Checklist (5 sheets, 42 data rows)
• Algorithmic Impact Assessment Template (3 sheets, 35 data rows)
• AI Model Documentation and Registry Guide (4 sheets, 38 data rows)
• Bias Testing and Fairness Audit Runbook (4 sheets, 36 data rows)
• AI Ethics Review Board Operating Procedures (3 sheets, 32 data rows)
• Third-Party AI Vendor Assessment Checklist (3 sheets, 34 data rows)
• Regulatory Compliance Mapping and Gap Tracker (4 sheets, 38 data rows)
• Stakeholder Communication and Training Plan (3 sheets, 30 data rows)
5 Models and Frameworks:
• AI Governance Maturity Model (5-Level Scale)
• Responsible AI Principles Taxonomy and Mapping
• AI Risk Classification Framework (by Use Case Severity)
• Policy Lifecycle Management Model
• Cross-Regulatory Alignment Matrix (EU AI Act, NIST AI RMF, ISO 42001)
5 PM Template Workbooks included.
FOLDER STRUCTURE
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/01_Assessments/ – 7 domain assessment workbooks
/02_Runbooks/ – 9 operational runbooks and checklists
/03_Models/ – Governance models and frameworks
/04_PM_Templates/ – Project management workbooks
/05_Implementation/ – Implementation guides and plans
/06_Reports/ – PDF summary reports and dashboards
+ 5 additional support folders
WHO THIS IS FOR
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• Chief AI Officers and AI Governance leads building enterprise AI policy frameworks
• Ethics and compliance teams responsible for responsible AI oversight
• Data science leaders implementing model governance and documentation standards
• Legal and regulatory affairs professionals navigating AI-specific regulations
• Board members and executives requiring AI risk visibility and assurance
• Consultants advising organisations on AI governance programme design
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Source: Best Practices in Artificial Intelligence Excel: AI Governance and Responsible AI Policy Framework Playbook Excel (XLSX) Spreadsheet, Gerard Blokdijk
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