About the course

Artificial intelligence is increasingly embedded in professional decision environments. Algorithms rank candidates, predictive models influence risk assessments, and generative AI tools assist with analysis, writing, and planning. Yet while AI capability has advanced rapidly, governance has not kept pace. When intelligent systems influence decisions, responsibility, oversight, and accountability can become unclear. This course introduces Human–AI Governance Engineering, a practical discipline focused on designing decision systems where human judgement and artificial intelligence interact responsibly. Rather than focusing only on algorithms, the programme examines the decision environments in which humans and machines collaborate to produce professional judgement. You will learn how to: • analyse AI-supported decision environments • identify governance risks within human–AI workflows • design decision processes that preserve accountability and oversight • document reasoning so decisions remain inspectable and defensible • build institutional capability for responsible AI adoption Throughout the course you will apply these concepts to a real decision system from your own professional context. As you progress, you will build a Human–AI Governance Engineering Toolkit for mapping decision processes, diagnosing governance risks, documenting reasoning, and designing governance-ready workflows. By the end of the course you will produce a Human–AI Governance Blueprint for your chosen decision system — demonstrating how intelligent systems can be integrated without undermining professional responsibility. This course is designed for professionals working in environments where AI influences real decisions across education, research, public service, and complex organisations.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy, where he develops ethical, practical, and future-ready approaches to working with Generative, Agentic, and emerging AI systems. With over 20 years of experience in higher education, research, and digital innovation, he specialises in applying AI to real-world contexts — from curriculum design and assessment reform to research acceleration and institutional strategy. His frameworks and courses help educators, researchers, and professionals build the capability, confidence, and critical insight needed to work responsibly and effectively with AI.

Curriculum

9 Chapters · 63 Lessons

  1. 1

    Orientation

    1. (Included in full purchase)

      How to Use This Programme

    2. (Included in full purchase)

      How the Programme Is Structured

    3. (Included in full purchase)

      The Governance Engineering Toolkit

    4. (Included in full purchase)

      Decision System Selection

    5. (Included in full purchase)

      Legal Disclaimer & Terms of Use

  2. 2

    Module 1 - The Governance Crisis in the Age of AI

    1. (Included in full purchase)

      Lesson 1.1 - Opening Scenario: Where Did the Decision Occur?

    2. (Included in full purchase)

      Lesson 1.2 - AI Transforming Professional Decision Environments

    3. (Included in full purchase)

      Lesson 1.3 - From Information Systems to Intelligence Systems

    4. (Included in full purchase)

      Lesson 1.4 - Hybrid Human–AI Decision Environments and the Invisible AI Problem

    5. (Included in full purchase)

      Lesson 1.5 - Toolkit Tool #1: AI Decision Mapping Canvas

    6. (Included in full purchase)

      Mapping AI Influence in Decision Systems

  3. 3

    Module 2 - Understanding Human–AI Decision Systems

    1. (Included in full purchase)

      Lesson 2.1 – Why Human–AI Decision Systems Matter

    2. (Included in full purchase)

      Lesson 2.2 – Socio-Technical Intelligence Systems

    3. (Included in full purchase)

      Lesson 2.3 – Human–AI Collaboration in Decision Processes

    4. (Included in full purchase)

      Lesson 2.4 – The Human–AI Decision Cycle

    5. (Included in full purchase)

      Lesson 2.5 – Toolkit Tool #2: Human–AI Decision Cycle Template

    6. (Included in full purchase)

      Analysing the Human–AI Decision Cycle

  4. 4

    Module 3 - Diagnosing Failure Modes in Human–AI Systems

    1. (Included in full purchase)

      Lesson 3.1 – Why Human–AI Decision Systems Fail

    2. (Included in full purchase)

      Lesson 3.2 – The Seven Failure Modes of Human–AI Decision Systems

    3. (Included in full purchase)

      Lesson 3.3 – Failure Modes in Real Decision Environments

    4. (Included in full purchase)

      Lesson 3.4 – Signature Exercise: The Human–AI Governance Stress Test

    5. (Included in full purchase)

      Lesson 3.5 – Toolkit Tool #3: Human–AI Failure Mode Diagnostic

    6. (Included in full purchase)

      Lesson 3.6 – Reflection: From Diagnosis to Governance Engineering

    7. (Included in full purchase)

      Diagnosing Human–AI Governance Risks

  5. 5

    Module 4 - The Human–AI Governance Stack

    1. (Included in full purchase)

      Lesson 4.1 – Why Governance Requires Architecture

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      Lesson 4.2 – The Three Layers of the Human–AI Governance Stack

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      Lesson 4.3 – Designing Human–AI Boundaries

    4. (Included in full purchase)

      Lesson 4.4 – Aligning Institutional Governance with Operational Systems

    5. (Included in full purchase)

      Lesson 4.5 – Exercise: Mapping a Decision System onto the Governance Stack

    6. (Included in full purchase)

      Lesson 4.6 – Toolkit Tool #4: Governance Stack Design Canvas

    7. (Included in full purchase)

      Designing the Human–AI Governance Stack

  6. 6

    Module 5 - Designing Governance-Ready Decision Workflows

    1. (Included in full purchase)

      Lesson 5.1 – From Diagnosis to Governance Engineering

    2. (Included in full purchase)

      Lesson 5.2 – Governance Checkpoints

    3. (Included in full purchase)

      Lesson 5.3 – Decision Transparency and Inspectable Reasoning

    4. (Included in full purchase)

      Lesson 5.4 – Preventing Automation Drift and Maintaining Human Oversight

    5. (Included in full purchase)

      Lesson 5.5 – Exercise: Redesigning a Decision Workflow

    6. (Included in full purchase)

      Lesson 5.6 – Toolkit Tool #5: Governance Workflow Design Template

    7. (Included in full purchase)

      Designing Governance into Decision Workflows

  7. 7

    Module 6 - Decision Traceability and Inspectable Reasoning

    1. (Included in full purchase)

      Lesson 6.1 – Why Decision Traceability Matters

    2. (Included in full purchase)

      Lesson 6.2 – Recording AI Influence in Decision Systems

    3. (Included in full purchase)

      Lesson 6.3 – Explainability vs Accountability

    4. (Included in full purchase)

      Lesson 6.4 – Decision Documentation Practices

    5. (Included in full purchase)

      Lesson 6.5 – Governance Infrastructure for Decision Records

    6. (Included in full purchase)

      Lesson 6.6 – Exercise: Creating an AI Decision Record

    7. (Included in full purchase)

      Lesson 6.7 – Toolkit Tool #6: AI Decision Record Template

    8. (Included in full purchase)

      Documenting AI-Supported Decisions

  8. 8

    Module 7 - Capability-Driven Institutions

    1. (Included in full purchase)

      Lesson 7.1 – Why Governance Depends on Human Capability

    2. (Included in full purchase)

      Lesson 7.2 – Professional Roles in Human–AI Systems

    3. (Included in full purchase)

      Lesson 7.3 – The Emergence of Governance Engineers

    4. (Included in full purchase)

      Lesson 7.4 – Institutional Capability and Governance Culture

    5. (Included in full purchase)

      Lesson 7.5 – Learning Organisations and Adaptive Governance

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      Lesson 7.6 – Exercise: Governance Capability Assessment

    7. (Included in full purchase)

      Lesson 7.7 – Toolkit Tool #7: Governance Capability Assessment

    8. (Included in full purchase)

      Assessing Organisational Governance Capability

  9. 9

    Module 8 - Engineering Human–AI Governance Systems

    1. (Included in full purchase)

      Lesson 8.1 – Bringing the Discipline Together

    2. (Included in full purchase)

      Lesson 8.2 – The Discipline of Human–AI Governance Engineering

    3. (Included in full purchase)

      Lesson 8.3 – Designing Accountable Decision Systems

    4. (Included in full purchase)

      Lesson 8.4 – Institutional Governance Strategy

    5. (Included in full purchase)

      Lesson 8.5 – The Emerging Role of Governance Engineers

    6. (Included in full purchase)

      Lesson 8.6 – Capstone Exercise: Preparing the Human–AI Governance Blueprint

    7. (Included in full purchase)

      Lesson 8.7 – Toolkit Tool #8: Human–AI Governance Blueprint Template

    8. (Included in full purchase)

      Lesson 8.8 – Becoming a Human–AI Governance Engineer

    9. (Included in full purchase)

      Designing the Human–AI Governance Blueprint