MY ONE BLOGby Manishdai
Artificial Intelligence

What is AI Governance?

Quick answer

The policies, roles, and processes an organization uses to decide how AI is built, bought, used, and monitored responsibly.

AI Governance, explained

AI governance covers questions such as which AI tools staff may use, what data can be shared with them, who approves new use cases, how risks like bias or privacy breaches are assessed, and how systems are monitored after launch. It also includes meeting legal requirements, such as the European Union's AI Act, which sets obligations based on the risk level of an AI system.

In a mid-sized company, governance might start with a one-page acceptable use policy, a register of AI tools in use, and a review step for any AI feature that affects customers or hiring decisions. Larger organizations often form cross-functional committees with legal, security, and business leaders. Good governance aims to enable useful adoption while keeping accountability clearly with people.

Related terms

AI Guardrails

Rules, filters, and checks placed around an AI system to keep its inputs, outputs, and actions within safe and acceptable limits.

Algorithmic Bias

Systematic errors in an algorithm or AI model that produce unfair outcomes for certain people or groups.

Explainable AI

Methods and tools that help people understand why an AI model produced a particular prediction or decision.

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