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AI Governance: Principles, Frameworks, and Best Practices for Businesses

Artificial intelligence is changing the way businesses work. Companies now use it to handle customer support, study data for predictions, and create new products, with generative AI helping them work more efficiently and compete more effectively.

However, AI adoption comes with obligations. Businesses need clear answers about how they protect data, secure their systems, check for unfair outcomes, explain automated decisions, and assign responsibility when those decisions cause harm. Without firm policies and oversight, AI can expose customers, employees, and the organization to serious risks.

AI governance addresses that gap. It sets the rules, processes, and ownership needed to build, deploy, and manage AI systems responsibly. This guide explains AI governance, why it matters, the frameworks businesses can draw on, and practical ways to build an effective strategy.

What Is AI Governance?

AI governance consists of the policies, processes, standards,

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Workforce Institute
October 28, 2026

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