Choose AI Governance: Risk, Accountability and Assurance if your role involves designing, implementing, managing, documenting or assuring AI governance across the organisation.

Choose AI Governance for Directors: Oversight, Risk and Assurance if your role is board, governing body or senior executive oversight, and you need to understand what to require from management, what reporting to expect, and how to exercise informed oversight of AI risk (view this course).

Organisations are adopting AI faster than their governance systems are adapting. AI is already operating through enterprise software, vendor platforms, analytics tools, productivity suites, chatbots, workflow automation and employee use of public or approved generative AI tools.

This creates practical governance questions: What AI systems are in use? Who owns them? What risks have been assessed? What data is being accessed? What records are created? What testing and monitoring evidence exists? What should be escalated, when and to whom?

This course helps organisations move from AI principles to practical controls, evidence and defensible oversight.

Explore the course outline, pricing and certificate information below.

This course is designed for professionals responsible for, or involved in, AI system use, management or assurance in corporate, not-for-profit and government sectors, including:

• Governance, risk, compliance, and audit professionals
• Privacy, records, and information managers
• Legal, privacy, ethics, and assurance professionals
• Data, analytics, and IT managers implementing AI solutions
• Cybersecurity, technology risk and operational resilience professionals
• Business leaders and project teams responsible for deploying AI-enabled tools or vendor systems
• Policy advisers overseeing AI adoption or evaluation

Across all three modules, participants will gain the skills and confidence to:

• Build and apply AI governance frameworks aligned with national and international standards;
• Implement policies and registers that ensure transparency and accountability;
• Measure and report AI system performance, fairness, and ethical outcomes; and
• Embed continuous improvement and assurance maturity across the organisation.

Each module includes:

• Reflection activities and interactive knowledge checks
• Practical tools and templates
• Downloadable resources
• Each module concludes with a short Knowledge Review Assessment to reinforce learning. A final cumulative assessment confirms understanding of key principles across the full course. Participants may retake assessments if required to achieve a passing score of 75 % or higher. On successful completion, participants receive an InfoGovANZ Certificate of Completion in AI Governance: Risk, Accountability and Assurance.

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

1. Explain how AI differs from traditional automation and the governance implications.
2. Identify and assess legal, ethical, operational and cybersecurity risks across the AI lifecycle.
3. Apply the NAIC Six Responsible-AI Practices using templates and tools.
4. Develop and implement AI governance policies and accountability structures.
5. Measure and evidence AI performance, fairness, and transparency.
6. Conduct assurance reviews, including privacy, cybersecurity, data governance, and model risk controls, and integrate findings into continuous improvement.
7. Prepare governance and board reports that demonstrate ethical and regulatory compliance.

The course is delivered across three integrated modules, guiding professionals through the complete responsible-AI lifecycle from governance foundations to implementation, assurance and reporting.

The course addresses contemporary organisational AI risks through practical, applied scenarios, including the governance and assurance challenges posed by embedded enterprise AI tools such as Microsoft Copilot, third-party and vendor-supplied AI systems, and unapproved or informal employee AI use. Participants work through realistic examples covering AI registers, data access and reuse, record creation, accountability, human oversight, and ongoing assurance, to ensure visibility, defensible decision-making, and effective risk management across the organisation.

Each module includes reflection activities, case studies, downloadable tools and templates, and a knowledge review assessment to consolidate learning.

Module 1 - Foundations: Understanding AI and Governance

This introductory module provides a clear foundation for understanding artificial intelligence (AI), how it operates, and why strong governance is essential for its responsible and compliant use. It demystifies key concepts such as algorithms, agentic AI and the AI lifecycle, and explains how governance principles, risk management, and legal compliance intersect across both public and private sectors.

Learners will explore Australia and New Zealand's evolving regulatory and policy environment for AI, including the AI Ethics Principles, the OECD AI Principles, national assurance and standards frameworks, best-practice international frameworks, and the latest guidance from the National Artificial Intelligence Centre (NAIC).  The course highlights international developments, including the EU AI Act and its extra-territorial application, recognising that Australian and New Zealand organisations may be affected through global supply chains and digital services.

The module also introduces the organisational capabilities, leadership, culture, and skills, that underpin responsible AI implementation, providing a foundation for the applied practices in Module 2. The module concludes with a realistic organisational scenario and governance checklist to help you identify risks and apply the principles in practice.

Module 2 - Practices: Implementing Responsible AI

This module focuses on operationalising responsible AI governance.  It guides learners through the six essential practices defined by the National AI Centre (NAIC) 2025 for the accountable adoption and oversight of AI. Using detailed implementation steps, tools, and real-world examples, the module shows how to translate principles and frameworks into practical processes that manage risk, ensure accountability, and maintain trust.

Learners will explore how to embed governance into the AI lifecycle, from system design and procurement through to testing, monitoring, and decommissioning. The module aligns with the Australian government's latest guidance on AI adoption, AI Ethics Principles, and international benchmarks such as ISO 42001 AI Management Systems, ISO 23894 AI Risk Management, and the NIST AI Risk Management Framework (2023).

This module integrates privacy, recordkeeping, and information-governance requirements, ensuring that governance practices remain compliant and auditable.

Finally, the module highlights the leadership, culture, and skills needed to implement AI responsibly. It concludes with a practical case study, a cross-sector application summary, and a comprehensive AI Implementation Checklist that supports real-world adoption.

By the end of Module 2, participants will know how to identify high-risk AI use cases, document them appropriately, and implement internal controls that enable transparency and accountability.

Module 3 - Assurance: Audit and Continuous Improvement

This module shows how to measure performance, audit and act on findings through continuous improvement, and report outcomes for responsible oversight of AI at executive, risk committee and Board levels.

Participants learn the benefits of and how to apply assurance frameworks, including AS ISO/IEC 42001:2024, the NIST AI Risk Management Framework, and the Australian Government AI Assurance Framework.

The module covers establishing assurance metrics and dashboards, managing continuous improvement processes, and reporting outcomes to senior leadership and boards.

Cross-sector case studies from government, corporate, and university contexts demonstrate how assurance findings lead to improvements.

By completion, participants will understand how to design an AI assurance process that supports responsible innovation and builds stakeholder trust.

• 100 % online and self-paced via the InfoGovANZ Learning Hub
• Approx. 8 hours total learning time
• 12 months' access to all content and updates
• Certificate in AI Governance: Risk, Accountability and Assurance issued by InfoGovANZ.

Course Fees

Individuals

• Non-Members: $875 AUD (plus GST)
• InfoGovANZ Members: $700 (plus GST) AUD (20 % discount)

Includes three modules, downloadable policy and assurance templates, case studies, and Certificate of Completion.

Corporate and Enterprise Options

• Corporate Group Licence (5-20 users): $595 per participant (plus GST)
• Enterprise Licence (20 + users): Price on Application (POA) - options include co-branding, SSO access, analytics, tailored onboarding, and bespoke content reflecting organisation's AI Policy Framework and inclusion of organisation's relevant policies and tailored Knowledge Review Assessment for internal training.
• Contact Us for Enterprise Pricing

Participants receive 12 months' access, including any updates to standards or frameworks.

Value-Added Options

A. Corporate Briefing - "Applying the Lessons"
Organisations enrolling 10 or more participants may request a one-hour virtual briefing with an InfoGovANZ facilitator or Dr Susan Bennett.
The session helps teams:

• Translate course learnings into organisational governance frameworks,
• Identify practical next steps for AI risk and assurance, and
• Align AI governance with existing information-governance and compliance programs.
  (Available within six months of enrolment; subject to availability.)
• Contact Us for Corporate Briefing Pricing

B. Tailored LMS Hosting for Organisations

Enterprise clients can access a custom-branded InfoGovANZ Learning Portal with:

• Internal hosting or single-sign-on integration,
• Usage analytics and completion reporting,
• Annual content updates aligned with evolving AI standards, and
• Optional inclusion of organisational policies or modules.
• Contact Us for Tailored LMS Hosting Pricing

Pricing Summary

Contact Us for Corporate Access or Enterprise Pricing

Key Benefits

• Built for professionals responsible for AI governance and assurance.
• Practical, framework-aligned training using case studies.
• Strengthens capability in risk, ethics, accountability, and compliance.
• Recognised by InfoGovANZ for continuing professional development (CPD).

Educational purpose only

This course is provided for general information and educational purposes only. It does not constitute legal advice, regulatory advice, cybersecurity advice, risk advice, assurance advice, professional advice, or assurance of compliance.

Participants and organisations should obtain independent legal, regulatory, cybersecurity, risk, assurance or other professional advice appropriate to their circumstances before acting on information contained in this course.

No guarantee of compliance or outcomes

Completion of this course does not guarantee compliance with any law, regulation, government guidance, standard, prudential requirement or framework, including Australian Government AI guidance, ISO/IEC standards, privacy obligations, cybersecurity obligations, recordkeeping obligations or directors' duties.

Implementation outcomes will depend on each organisation's governance arrangements, systems, data, risk appetite, legal and regulatory context, sector, operating model, third-party dependencies and assurance arrangements.

Templates, tools and examples

Any templates, checklists, examples, scenarios or tools provided in this course are illustrative and educational only. They are not endorsed, approved or certified by any regulator, government agency, standards body or professional body.

Participants remain responsible for assessing whether any materials are appropriate for their organisation, validating them internally, obtaining appropriate professional advice where required, and securing all necessary internal approvals before operational use.

Currency of information

AI, privacy, cybersecurity, corporate governance, prudential, information governance and recordkeeping laws, standards and guidance are evolving. While this course reflects guidance current at the time of publication, InfoGovANZ does not warrant that the materials remain current, complete or suitable for any particular organisation or use case.

Participants and organisations are responsible for checking and relying on the latest versions of relevant laws, standards, regulatory guidance and organisational policies.

Third-party content and links

This course refers to third-party guidance, tools, standards, cases, speeches, regulatory materials and other publications, including materials published by Australian Government agencies, regulators, courts, standards bodies and international organisations.

InfoGovANZ does not control, endorse or warrant the accuracy, completeness, currency or availability of third-party content and accepts no responsibility for reliance on those materials.

No endorsement or affiliation

This course is an independent training product. References to government guidance, regulators, courts, standards bodies, professional bodies, frameworks or third-party materials do not imply endorsement, approval, certification, partnership or affiliation.

Participant responsibility

Participants and organisations remain responsible for:

• decisions made using or in connection with AI systems
• ensuring appropriate governance, oversight, accountability, controls and assurance
• complying with applicable laws, regulatory obligations and organisational policies
• determining whether further legal, regulatory, cybersecurity, risk or assurance advice is required.

Limitation of liability

To the extent permitted by law, InfoGovANZ excludes liability for any loss, damage, cost or expense arising from or in connection with reliance on this course or its materials, whether direct, indirect, consequential or otherwise.

Nothing in these Terms excludes, restricts or modifies any guarantee, right or remedy that cannot lawfully be excluded, restricted or modified under applicable law.

Governing law

These Terms are governed by the laws of New South Wales, Australia.

Source

This course forms part of AI Governance: Risk, Accountability and Assurance, developed and delivered by Information Governance ANZ Pty Ltd.

Intellectual property

All intellectual property rights in the course materials, module content, slides, templates, checklists, scenarios, tools, assessments, resource pack and related materials are owned by Information Governance ANZ Pty Ltd, unless otherwise stated. All rights are reserved.

Permitted participant use

Course participants may use the materials for their own personal learning and professional development.

Restrictions on use

The materials must not be copied, reproduced, adapted, modified, distributed, published, uploaded, shared, sold, licensed, sublicensed or otherwise made available to any other person or organisation, except as expressly permitted in writing by Information Governance ANZ Pty Ltd.

The materials must not be used to develop, deliver or support any external course, workshop, consulting service, advisory product, client deliverable, training programme, template library, publication or commercial offering, whether free or paid, without prior written permission from Information Governance ANZ Pty Ltd.

The materials must not be uploaded into, ingested by, used to train, fine-tune, prompt, populate or benchmark any AI system, knowledge base, chatbot, template library or searchable repository, except as expressly agreed in writing by Information Governance ANZ Pty Ltd.

No external advisory or training use

Consultants, advisers, training providers and other organisations must not use the course materials, tools, templates, scenarios or resource pack to provide services to clients, develop competing or derivative training, or create external governance materials, unless expressly agreed in writing by Information Governance ANZ Pty Ltd.

Attribution

Suggested attribution: InfoGovANZ, AI Governance: Risk, Accountability and Assurance.

Contact

For information about InfoGovANZ membership, courses, workshops and tailored board briefings on AI governance and information governance: www.infogovanz.com