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Online Training

Artificial Intelligence (AI) Policy Development

How to develop and implement governance and oversight of Artificial Intelligence (AI) in your organisation safely

Next Intake 24 & 26 March 2026 | 10 & 12 November 2026 | 10:00 AM - 4:00 PM AEDT
Next Intake 24 & 26 March 2026 | 10 & 12 November 2026 | 10:00 AM - 4:00 PM AEDT

Overview

The use of Artificial Intelligence products and services is now no longer an ‘if’; it is now a ‘when’ and ‘how’. Artificial Intelligence is rapidly evolving into a mainstream technology that organisations will seek to use, to improve their business operations and streamline work.

The importance of establishing a proper governance and oversight framework is critical for organisations, private and public, in adopting artificial intelligence (AI) products/services.

It is therefore imperative that ALL organisations, agencies, and businesses, be they Government or Private, retain the confidence and trust of their customers, clients and the public in their ability to protect personal information entrusted to them, by taking every possible step (through policy, process and technology) to ensure that only those who require access to the data and that that data is used legally and ethically.

Who Should Attend?

This course is about designing and implementing the governance and oversight of implementing an Artificial Intelligence (AI) product or service into an organisation, through a policy and process approach.

Senior leaders who have the responsibility for and are the accountable authorities for the planning, selection, assessment and implementation of Artificial Intelligence (AI) within their organisations

Chief Information Officers, Chief Technology Officers, and Chief Information Security Officers

Those with responsibilities for oversight, governance and audit of systems.

This session is also designed for those wanting to understand how to implement greater protections through the development and implementation of sound AI Policy and Process Development of and for their data and networks and learn how to translate the technical impacts of AI Policy to business impacts for non-cyber people.

Learning Outcomes

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

Understanding what is and what constitutes a sound Artificial Intelligence (AI) Policy

Understand the principles of an AI Policy

How to develop and implement a suitable AI Policy approach

How to develop and implement suitable Governance, oversight, and audit approaches to Artificial Intelligence

Online Training

Artificial Intelligence (AI) Policy Development

Session details

  • Understand AI from a governance perspective
  • Design and implement fit-for-purpose AI policies
  • Establish oversight, governance and audit frameworks

24 & 26 March 2026 Course Registration

10 & 12 November 2026 Course Registration

View course modules
Fundamentals

No previous experience necessary

Key Sessions

This session introduces participants to Artificial Intelligence and what an Artificial Intelligence Policy is.

  • What is Artificial Intelligence?
  • What is an Artificial Intelligence policy, and why have one?
  • Why is it required – the need for an organisation-specific AI policy
  • Policy > Process/Procedures > Technology
  • AI Frameworks – ISM, NIST, ISO27001
  • The Data (CIAS) Quadrant: Confidentiality, Integrity, Availability, Safety
  • The Need to Know / Need to Access principles for AI
  • The Australian Government Digital Transformation Agency (DTA) AI Approach / Guidelines
  • Definition of AI (OECD Definition)

Discussion: What measures are in place in your organisation about Artificial Intelligence?

The Foundations of AI Policy – Theory and Practice

This session introduces participants to the creation of an organisation-specific AI Policy and some of the considerations in the setup of the regulatory framework within an organisation.

Considerations: Organisation’s AI regulatory framework

  • The Data (CIAS) quadrant (Confidentiality, Integrity, Availability, Safety)
  • The Need to Know / Need to Access principles
  • Key organisational data – what must be protected
  • Business needs versus Data protection requirements
  • The biggest issue – Trust
  • Current best practices in AI Policy
  • Current organisational challenges:
    • Time
    • Skilled resources
  • Human Resource Security:
    • Duties, responsibilities and qualifications of key job roles and their relation to AI
    • Who will have access to AI, and what will they be able to do
    • Onboarding / Before employment
    • Access to AI during Employment
    • Termination or change of employment
  • Selection and vetting of AI Products / Services
    • Requirements
    • Capabilities of product /service
    • Selection Approach
    • FASS approach for organisation
    • Potential Risks

Planning

  • The PPPTT Staged Approach to Planning and Implementing AI Policy & IM: Policy, Plan, Process, Technology, Training

  • Discussion / Activity -This session is a combination of both theory and practical, and allows participants to either:
    • Commence drafting their AI Policy
    • Review their current AI Policy

Note: An AI Policy template will be provided to assist participants in developing their AI Policy and IM policies

Discussion Points include:

  • The FASS Approach to Developing AI Policy
  • Identify what your key data is that must be protected
  • Outline of commonly used access models, including:

Policy Sections and Detail

  1. Purpose of AI Policy
  2. Definition of AI (OECD Definition)
  3. Application / Applicability – who does this apply to (permanents, contractors)
  4. Authority – issued by authority of the Board/CEO, etc (must be at the top of the organisation)
  5. Objectives
  6. Scope
  7. Process for applying/implementing AI Technology – process for implementing a new AI technology in an organisation
  8. Roles and Responsibilities – this includes key position holders
  9. AI Security Incident Reporting – process for reporting and investigating misuse of AI within the organisation

This session builds on Session 2 in Implementing AI Policy and Identity Management and involves building the Project Plan.

  • Business Case
  • Project Planning - utilising the PPPTT approach
  • Putting the Project Plan together (template provided)
  • Project Planning - utilising the PPPTT approach
    • Policy
    • Planning
    • Process
    • Technology
    • Training

This session focuses on setting up and implementing the Governance and Oversight approach required.

  • The RAAT Approach (Responsibility, Accountability, Auditability, Trackability)
  • Understanding the cyber compliance and regulation requirements applicable to local government
  • What cyber standards (NIST, ISM, ISO) can assist in the design
  • Steps/processes to meet legislative/regulatory compliance

This interactive session goes through the steps required to put together your Artificial Intelligence Plan

  • Review of your Plan from Modules 2 and 3
  • Governance and Oversight
  • Resourcing
  • Risks, mitigations and treatments – levels of risk tolerance
  • Communication with stakeholders
  • Training of staff

Key Considerations

  1. There are relevant AI or data-related strategies, programs, plans or provisions adopted or considered
  2. Data protection and privacy are officially recognized by statements/announcements/policies
  3. There is a procurement policy in place specific to AI technology
  4. Ethical principles specific to AI technology have been enumerated, recognized, or adopted
  5. An AI council/ committee or similar structure is established within the institution responsible for oversight and/or regulation

Meet Your Facilitator

Digital Forensics - PHILIP WAGNER

Philip Wagner

Principal Cyber Security Specialist, Leadership & Cyber Educator, CISO

Philip Wagner is a cyber security, leadership educator, trainer, speaker, executive coach and project/program manager, with extensive leadership and project management expertise in both civilian and military environments. He has advised and trained in a wide range of industries from banking and finance, education and training, technology and government at federal and state levels. He is a serving part-time Army Officer.

His previous roles include:

  • Director, Cyber Security, Information Technology Security Advisor and Senior Cyber Security Advisor, Department of the Prime Minister and Cabinet
  • Director of Cyber Security and Deputy Chief Information Security Officer (CISO) with the National Disability Insurance Agency
  • Senior Project Manager for a major Australian health provider in developing their cyber program.
  • He has written and has had officially endorsed a Commonwealth Government Department’s Artificial Intelligence Policy

What your peers had to say

Pleasant presentation. It is easy to follow, engaging.

Excellent training. Fellow participants were engaged with the course.

Register Today

Join this training for professionals working within the Public Sector

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