Artificial Intelligence (AI) · Advanced level

Advanced level · Module 5 of 6 · 22 guided hours

AI Governance and Strategy

Govern AI in organisations with policies, risk frameworks, impact assessments and measurement of value.

Learning objectives

  • Apply AI risk and ethics frameworks
  • Write AI use policies and impact assessments
  • Plan adoption and measure the value of AI

Topics

  • NIST AI Risk Management Framework
  • UNESCO Recommendation on the Ethics of AI
  • organisational AI policies
  • AI impact assessments
  • procurement and vendor assessment
  • adoption, training and value measurement

Lessons

  1. Lesson 1 Frameworks for Responsible AI

    Use international frameworks to structure responsible AI work.

    NIST AI RMF: govern, map, measure, manageUNESCO AI ethics recommendationhuman rights approachproportionality

  2. Lesson 2 Policies and Impact Assessments

    Write an AI use policy and assess the impact of an AI system before deployment.

    AI use policyapproved tools and data rulesimpact assessmentaffected groups

  3. Lesson 3 Procurement and Vendor Assessment

    Evaluate AI products and vendors before buying or adopting them.

    vendor questionnairedata handling and locationevaluation on own dataexit plan

  4. Lesson 4 Adoption and Measuring Value

    Plan AI adoption with training and change management, and measure whether it delivers value.

    change managementstaff trainingvalue metricsscale or stop decisions

Practical activity

Write the governance pack for the capstone system: use policy, impact assessment, vendor assessment and a measurement plan.

Expected outcomes

  • Practical governance documents
  • Realistic adoption plans

Assessment

Governance pack marked against a rubric for completeness, realism and consistency with the system.

Taught live by an instructor — online or in person. Free course lessons are for self-study and do not lead to a certificate — see registration options.