Opleiding: IAPP Artificial Intelligence Governance Professional (AIGP) + Examen [AIGP]

OVERVIEW

The IAPP AI Governance Professional (AIGP) validates competency in AI development, the ability to conduct ethical AI deployment, and the ability to utilize best practices in AI management to ensure safety and trust.

The Artificial Intelligence Governance Professional (AIGP) course designed to equip learners with the baseline knowledge and strategies for responding to complex risks associated with the evolving AI landscape. Developed by a panel of AI and governance experts. The AIGP program provides you with the right skills and expertise to support day to day operational activities undertaken by AI governance professionals.

Helps to ensure consistent understating of topics and issues. It builds a clear foundation in AI concepts and the principles, benefits, risks and responsibilities that underpin sound oversight.

The AIGP program was developed by the International Association of Privacy Professionals (IAPP), which is the world’s largest comprehensive global information privacy community and resource.

This course explores AI’s technological foundations and development cycle, existing and emerging laws, risk management strategies and much more. It is excellent preparation for anyone pursuing IAPP Artificial Intelligence Governance Professional certification.

Why pursue an AIGP designation?

-Establish foundational knowledge of AI systems and their use cases, the impacts of AI, and comprehension of responsible AI principles.

-Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed.

-Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.

-Presents awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance.

AIGP course includes:

- Exam Voucher

- Participant Guide

- 1 Year IAPP Membership

OBJECTIVES

After you complete this course you will be able to:

• Understand the technological foundations of artificial intelligence and the AI development lifecycle.
• Evaluate AI’s effects on people and apply appropriate principles.
• Know how current and emerging laws apply to AI systems.
• Implement responsible AI governance and risk management.
• Contemplate ongoing issues and concerns.

AUDIENCE

This course is ideal for professionals tasked with developing AI governance and risk management in their operations, and anyone seeking to earn IAPP Artificial Intelligence Governance Professional certification.

- Responsible AI manager & AI executive.

- AI governance professional.

- Privacy engineer.

- Cybersecurity professional.

- Data scientists/Analysts/Architects.

- IT managers and administrators.

- Records managers.

- System developers.

- Software/ Privacy engineers/Designers.

- UX designers.

- Chief privacy officer.

- Project managers.

- Regional privacy officer/ Privacy auditor.

- Data protection officer.

- Privacy manager/ analyst/ champion.

CERTIFICATION

The IAPP Artificial Intelligence Governance Professional (AIGP) is a globally recognized certification that validates a professional’s ability to govern artificial intelligence systems responsibly, ethically, and in compliance with emerging laws and standards.

Certification Title: IAPP Artificial Intelligence Governance Professional (AIGP)

NEXT STEP

None

CONTENT

Module 1: Foundations of artificial intelligence

• Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context.

Module 2: AI impacts and responsible principles

• Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI.

Module 3: AI governance and risk management

• Examines the details of building AI governance, including collaborating with major AI stakeholders, defining roles and responsibilities, and identifying and managing risks.

Module 4: AI regulation

• Describes relevant global laws and discusses key points related to terminology, risk levels, requirements, governance and enforcement as laid out in AI-specific regulation.

Module 5: Other laws that apply to AI

• Surveys the existing laws that govern AI, provides awareness of liability reform, and outlines how various legal frameworks, including data privacy and intellectual property laws, intersect with AI applications.

Module 6: Governing AI development

• Explains considerations for planning, designing and building AI systems, including governing data collection and use in AI design and development.

Module 7: Governing AI deployment

• Addresses best practices for the preparation and execution of AI deployment, as well as post-implementation  activities.