🎓Artificial Intelligence Governance Professional

NEW

Also known as: AIGP

A certified professional specializing in establishing, operating, and improving AI governance programs across the AI lifecycle.

DESCRIPTION

The Artificial Intelligence Governance Professional (AIGP) is a credential focused on governance of AI systems, covering risk, ethics, compliance, and operational oversight. AIGPs design policies, define control frameworks, coordinate cross-functional stakeholders, and ensure evidence of compliance. They bridge legal, risk, and engineering teams to embed responsible AI practices into MLOps workflows. The role is increasingly in demand due to regulatory momentum and enterprise AI scaling.

ALTERNATIVE DEFINITIONS

IAPP

The Artificial Intelligence Governance Professional (AIGP) is the IAPP’s credential that demonstrates knowledge of AI governance to help organizations build and deploy AI responsibly.

Defines AIGP as a credential explicitly focused on responsible AI governance outcomes.

Source

IAPP

AIGP validates that professionals understand how to establish and administer AI governance programs, including risk, accountability, and compliance requirements.

Emphasizes program establishment and administration across governance domains.

Source

RELATED TERMS

AI Governance Responsible AI Model Risk Management AI Compliance ISO-IEC 42001 NIST AI Risk Management Framework AI Ethics Data Privacy Model Documentation AI Risk Assessment

COMPETING TERMS

Responsible AI Practitioner

KNOWLEDGE AREAS

AI Governance AI MLOps Data Privacy & Compliance

TARGET AUDIENCE

Data Governance Manager AI Product Manager Chief Data Officer Chief Technology Officer Data Management Consultant Enterprise Architect

EXTERNAL SOURCES

• Wikipedia - International Association of Privacy Professionals
• IAPP - Official AIGP certification
• NIST - Governing framework reference

TOP QUESTIONS

What does an Artificial Intelligence Governance Professional do?

They design and run AI governance programs, integrating risk controls, documentation, approvals, and monitoring across the AI lifecycle.

Category: Role

Who should pursue the AIGP certification?

Professionals in governance, risk, compliance, legal, and AI product roles who oversee responsible AI practices.

Category: Audience

How does AIGP compare to privacy certifications?

AIGP focuses on AI governance, complementing privacy certifications that emphasize data protection laws and practices.

Category: Comparison

What knowledge areas are covered by AIGP?

AI risk, ethics, regulatory compliance, documentation, incident response, and integration with MLOps pipelines.

Category: Curriculum

Why is AIGP relevant today?

AI regulation and enterprise AI adoption are accelerating, creating demand for provable governance expertise.

Category: Relevancy

What’s a common misconception about AIGP?

That it is only legal-focused; it actually bridges technical, operational, and policy disciplines.

Category: Misunderstanding

How does AIGP interact with engineering teams?

AIGPs translate policy into technical controls and evidence requirements integrated in CI/CD and model registries.

Category: Collaboration

What frameworks underpin AIGP practice?

NIST AI RMF and ISO/IEC 42001 commonly inform AIGP-aligned processes and controls.

Category: Frameworks

How to prepare for the AIGP exam?

Study official materials, practice mapping policies to lifecycle controls, and review case studies of AI incidents and mitigations.

Category: Preparation