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AI Governance Handbook: Your guide to scaling AI responsibly

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AI is transforming the way we do business, innovate, and make decisions. But with great power comes great responsibility. As AI adoption accelerates, so does the need for robust governance to ensure fairness, transparency, compliance, and ethical use.

This handbook is designed to guide you—whether you're a Chief Data Officer, AI lead, legal counsel, or business leader—on the journey of AI governance. There is no one-size-fits-all approach; your organisation must shape its governance practices to align with its unique goals, risks, and regulatory landscape. AI governance is not just about policies: it’s about building trust, managing risks, and unlocking the full potential of AI in a responsible way.

This handbook offers insights into industry best practices, leading standards, and the most effective ways to implement AI governance using Saidot.

By reading this guide, you'll dive deep into these processes:

1. AI policies
2. AI lifecycle management process
3. Third-party management
4. Data management
5. Risk management
6. Compliance management
7. Roles and responsibilities
8. Tools and resources
9. Transparency and documentation
10. How Saidot helps you align AI governance with your existing processes and practices

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