AI Governance Professional (AIGP®) Masterclass

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About Course

AI Governance Professional (AIGP®) Masterclass

Developed independently to mirror the IAPP’s AIGP® standards, this Practice Exam is organized in accordance with the official AIGP® Body of Knowledge and Exam Blueprint.

To be used in combination with other learning material, these practice Q&A are an unofficial resource designed to help learners confidently meet AIGP® exam expectations.

AIGP® is a registered trademark of the International Association of Privacy Professionals (IAPP). Lawtificial Integrity Ltd is not affiliated with, endorsed by, or sponsored by IAPP.

What Will You Learn?

  • AI Governance Professional (AIGP®) Masterclass.
  • Developed independently to mirror the IAPP’s AIGP® standards, this Practice Exam is organized in accordance with the official AIGP® Body of Knowledge and Exam Blueprint. An unofficial resource, this resource is designed to help learners confidently meet exam expectations.

Course Content

Domain I: Understanding the Foundations of Artificial Intelligence
I.A Understand what AI is and why it needs governance. I.B Establish and communicate organizational expectations for AI governance. I.C Establish policies and procedures to apply throughout the AI life cycle.

  • Domain I: Understanding the Foundations of Artificial Intelligence

Domain 2: Understanding AI Impacts and Responsible AI Principles
II.A Understand how existing data privacy laws apply to AI. II.B Understand how other types of existing laws apply to AI. II.C Understand the main elements of AI-specific laws. II.D Understand the main industry standards and tools that apply to AI.

Domain 3: Understanding How Current Laws Apply to AI Systems
III.A Govern the designing and building of the AI system. III.B Govern the collection and use of data in training and testing the AI model and system. III.C Govern the release, monitoring and maintenance of the AI system.

Domain 4: Understanding the Existing and Emerging AI Laws and Standards

Domain 5: Understanding the AI Development Life Cycle

Domain 6: Implementing Responsible AI Governance and Risk Management

Domain 7: Contemplating Ongoing Issues and Concerns

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