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Artificial Intelligence Governance (AIGP)

February 19 @ 9:00 am - February 20 @ 4:00 pm UTC-5


This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a “test prep” course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.



AIGP training teaches how to develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies. The curriculum provides an overview of AI technology, survey of current law, and strategies for risk management, among many other relevant topics.



  • 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 on people and responsible AI 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 development life cycle
    Describes the AI development life cycle and the broad context in which AI risks are managed.
  • Module 4: Implementing responsible AI governance and risk management
    Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI
    systems’ potential societal benefits.
  • Module 5: Implementing AI projects and systems
    Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and
    managing and monitoring AI systems after deployment.
  • Module 6: Current laws that apply to AI systems
    Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of
    liability reform
  • Module 7: Existing and emerging AI laws and standards
    Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be
    responsibly governed.
  • Module 8: Ongoing AI issues and concerns
    Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues.



*Certification Study Group voucher must be used within three months of taking the course.

**The IAPP exam must be taken within three months of the release of the exam (anticipated release in 1st quarter of 2024). Refresher course must be taken within three months of completing the IAPP exam.

*** 1 Year Membership valid with first course taken with Privacy Ref


*** Links to Privacy Ref Include Web Tracking***


February 19 @ 9:00 am UTC-5
February 20 @ 4:00 pm UTC-5
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Hybrid (Online & In-Person)


Privacy Ref
(888) 470-1528
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