AI-Governance-Handbook

🎯 Overview

This repository contains the source materials for the AI Governance Handbook, a comprehensive resource designed to provide practical guidance on establishing and maintaining robust AI governance frameworks. It includes a core handbook document (PDF) and various diagrams illustrating key concepts.

As AI systems become increasingly integrated into society and business, effective governance is crucial for ensuring ethical, responsible, transparent, and compliant development and deployment. This handbook aims to demystify AI governance, offering actionable insights.

This handbook was created with the assistance of various AI tools and was last updated in March 2025.

🤔 Why This Handbook?

• Complexity: AI governance involves navigating intricate technical, ethical, legal, and social challenges.
• Need for Guidance: Provides a consolidated resource for implementing effective AI governance.
• Risk Mitigation: Helps manage AI-related risks like bias, lack of transparency, security flaws, and non-compliance.
• Building Trust: Promotes responsible AI practices to build user, customer, and public trust.
• Fostering Innovation: Offers clear guardrails to support responsible innovation.

👥 Target Audience

This handbook is for anyone involved in the AI lifecycle:

• AI Developers & Engineers, Data Scientists
• Product Managers
• Legal, Compliance & Risk Professionals
• Executives & Decision-Makers
• Policy Makers & Regulators
• Students & Researchers in AI Ethics/Governance

✨ Key Resources Included

This repository contains:

1. The Core Handbook (PDF):
   • AI_Governance_Handbook.pdf: The main comprehensive guide.
2. Visual Diagrams & Figures (.png): Illustrating concepts such as:
   • AI Compliance Program Maturity (AIComplianceProgramMaturity.png, AI Compliance Maturity Funnel.png)
   • AI Risk Management (AIRiskManagementStages.png, AI Risk Management Maturity Model.png, NIST AI Risk Management Framework Core ....png)
   • AI Governance Maturity (AI Governance Maturity Progression.png, AI Governance Maturity Stages.png)
   • AI Safety Maturity (AI Safety Maturity Stages.png)
   • EU AI Act Risk Classification (EUAIActRiskClassification.png)
   • Responsible AI Stages (ResponsibleAIStages.png)
   • Journey to AI Transparency (Journey to AI Transparency Leadership.png)
   • (And others as visible in the repository)
3. Website Source Code:
   • index.html: The entry point for the GitHub Pages website displaying the handbook content.
   • Workflow files (.github/workflows): Automating the deployment of the website.

🚀 How to Use

• Recommended: Visit the live website: https://Khullani.github.io/AI-Governance-Handbook/
• Offline Reading: Download the AI_Governance_Handbook.pdf.
• Browse Files: Explore the individual diagrams (.png files) and other source files directly in this repository.

स्टेटस (Status)

• Current Stage: Actively Developed.
• Last Content Update: March 2025.
• This handbook is a living document and will be updated to reflect the evolving field of AI governance.

🤝 Contributing

Contributions are welcome! Help us improve the handbook by fixing errors, enhancing clarity, adding relevant content or diagrams, or suggesting improvements.

Please read our CONTRIBUTING.md guide for details on:

• How to report issues or suggest enhancements.
• How to submit changes via Pull Requests.
• Our Code of Conduct.

(Note: Contributions fall under the repository's MPL-2.0 license).

📜 License

This project is licensed under the Mozilla Public License Version 2.0 (MPL-2.0).

You are free to use, modify, and distribute the software and files under the terms of this license. MPL-2.0 is a 'file-level' copyleft license; modifications to MPL-licensed files must be released under MPL, but you can combine the licensed code with proprietary code or code under other licenses.

See the LICENSE file for the full license text.

🙏 Acknowledgements

• This handbook was developed with the assistance of AI tools to help synthesize information and structure content.