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 and a digital education specialist with over 20 years of experience across higher education, research and digital innovation. His work focuses on turning emerging technologies into practical approaches to learning, analysis and knowledge creation. Through CloudPedagogy, he develops courses, open-source tools, interactive learning systems and applied projects exploring areas including generative and agentic AI, educational technology and digital learning design. His approach emphasises practical experimentation, transparency, critical judgement and responsible use of technology. CloudPedagogy is built around learning by understanding, building and applying: making complex ideas accessible while creating practical tools and workflows that demonstrate how they can be used in real-world contexts.

Curriculum

9 Chapters · 63 Lessons

    1. (Included in full purchase)

      How to Use This Programme

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      How the Programme Is Structured

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      The Governance Engineering Toolkit

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      Decision System Selection

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      Legal Disclaimer & Terms of Use

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

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      Lesson 1.2 - AI Transforming Professional Decision Environments

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      Lesson 1.3 - From Information Systems to Intelligence Systems

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

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

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      Mapping AI Influence in Decision Systems

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      Lesson 2.1 – Why Human–AI Decision Systems Matter

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      Lesson 2.2 – Socio-Technical Intelligence Systems

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      Lesson 2.3 – Human–AI Collaboration in Decision Processes

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      Lesson 2.4 – The Human–AI Decision Cycle

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

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      Analysing the Human–AI Decision Cycle

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      Lesson 3.1 – Why Human–AI Decision Systems Fail

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

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      Lesson 3.3 – Failure Modes in Real Decision Environments

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

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

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      Lesson 3.6 – Reflection: From Diagnosis to Governance Engineering

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      Diagnosing Human–AI Governance Risks

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      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

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      Lesson 4.4 – Aligning Institutional Governance with Operational Systems

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

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

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      Designing the Human–AI Governance Stack

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      Lesson 5.1 – From Diagnosis to Governance Engineering

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      Lesson 5.2 – Governance Checkpoints

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      Lesson 5.3 – Decision Transparency and Inspectable Reasoning

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      Lesson 5.4 – Preventing Automation Drift and Maintaining Human Oversight

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      Lesson 5.5 – Exercise: Redesigning a Decision Workflow

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

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      Designing Governance into Decision Workflows

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      Lesson 6.1 – Why Decision Traceability Matters

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      Lesson 6.2 – Recording AI Influence in Decision Systems

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      Lesson 6.3 – Explainability vs Accountability

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      Lesson 6.4 – Decision Documentation Practices

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      Lesson 6.5 – Governance Infrastructure for Decision Records

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      Lesson 6.6 – Exercise: Creating an AI Decision Record

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

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      Documenting AI-Supported Decisions

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      Lesson 7.1 – Why Governance Depends on Human Capability

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      Lesson 7.2 – Professional Roles in Human–AI Systems

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      Lesson 7.3 – The Emergence of Governance Engineers

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      Lesson 7.4 – Institutional Capability and Governance Culture

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      Lesson 7.5 – Learning Organisations and Adaptive Governance

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      Lesson 7.6 – Exercise: Governance Capability Assessment

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      Lesson 7.7 – Toolkit Tool #7: Governance Capability Assessment

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      Assessing Organisational Governance Capability

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      Lesson 8.1 – Bringing the Discipline Together

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      Lesson 8.2 – The Discipline of Human–AI Governance Engineering

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      Lesson 8.3 – Designing Accountable Decision Systems

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      Lesson 8.4 – Institutional Governance Strategy

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      Lesson 8.5 – The Emerging Role of Governance Engineers

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

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

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      Lesson 8.8 – Becoming a Human–AI Governance Engineer

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      Designing the Human–AI Governance Blueprint