AI Governance and Policy 3: Risk Management Practices

This micro-course can be applied toward the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals and is the mastery level 3 micro-course in the AI Governance and Policy track.

This mastery level micro-course positions IT and governance professionals as strategic leaders in enterprise AI governance. Develop comprehensive governance strategies and establish forward-looking frameworks that mitigate risk, enable innovation and ensure responsible AI implementation across the enterprise.

This micro-course is designed for IT professionals in managerial, project management, technical and leadership roles.

By the end of this course, you will be able to:

  • Develop comprehensive enterprise AI governance strategies and lead executive governance initiatives
  • Evaluate emerging AI technologies and develop innovation governance frameworks
  • Navigate global compliance requirements and implement multi-jurisdictional governance
  • Establish and lead AI ethics boards and ethical decision-making processes
  • Lead crisis management and AI incident response at the enterprise level
  • Future-proof governance frameworks and assess emerging AI technology risks

Platform and tool selection varies and is regularly updated to reflect current industry trends. Students can expect to interact with:

  • Strategic governance and risk management platforms
  • Emerging technology assessment and evaluation frameworks
  • Global compliance monitoring and multi-jurisdictional governance tools
  • AI ethics evaluation and decision-making support systems
  • Crisis management and enterprise communication platforms

Course outline

  • Module 1: Enterprise AI governance strategy and executive leadership
  • Module 2: Emerging technology evaluation and innovation governance
  • Module 3: Global compliance and multi-jurisdictional AI governance
  • Module 4: AI ethics board development and ethical decision-making frameworks
  • Module 5: Crisis management and AI incident response leadership
  • Module 6: Future-proofing governance and emerging AI technology assessment

The course outline may be subject to change as AI evolves and the course is updated to reflect the latest content.

How am I assessed?

You will be assessed on successfully completing weekly activities, including exercises, quizzes, applied case study projects (based on real-life scenarios) and your contributions to discussion posts. These activities are marked using a proficiency scale, and your instructor provides you informal feedback during live online sessions.

While you are not assessed on your attendance of the live online sessions, we encourage you to attend so you can learn and interact with your instructor and other participants. All sessions are recorded in case you miss one.

This micro-course operates on a pass/fail basis. You must achieve an overall grade of 70% or greater to pass and be eligible to earn the UBC Certificate in AI Skills Accelerator for IT, Digital and Enterprise Systems Professionals.

Expected effort

Expect to spend approximately 14 hours per week per course completing all learning activities, including attending live sessions online.

Requisites

Recommend completion of AI Foundations 1: Concepts and Tools equivalent foundational AI knowledge.

Course format

This 100% online part-time program consists of instructor-supported real-time classes combined with independent study. 

Each micro-course will consist of a weekly virtual class taught by subject matter experts and a high degree of personal engagement and interactivity. Outside of class, you can access online materials on your own time.

One business day before the micro-course start date, we'll email you step-by-step instructions for accessing your micro-course.

Available sessions

There are no upcoming sessions currently scheduled for this course.

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How can we help?

We’re here to answer your questions, discuss learning options and provide insights, recommendations and referrals.  

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