Artificial Intelligence (AI) Policy Development

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

Virtual Course | 26 & 28 May 2026 | 10:00 AM - 4:00 PM AEDT

Overview

The use of Artificial Intelligence products and services is now no longer a ‘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 business, 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.

Learning Outcomes

In this course, participants will learn the following:

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

Special Highlight: Participants will develop their own AI Policy framework during this training. An AI policy template will be provided to assist participants in the development of their workplace AI Policy.

Who Should Attend

This course is designed for APS 6–EL 2 / Executive-level leaders (or state, territory and local government equivalents) responsible for the governance, oversight, and implementation of Artificial Intelligence (AI) initiatives within their organisations.

Suitable participants include:

Senior leaders accountable for planning, selection, assessment, and implementation of AI solutions
Chief Information Officers (CIOs), Chief Technology Officers (CTOs), and Chief Information Security Officers (CISOs)
Officers with responsibilities for oversight, governance, risk management, or audit of AI systems
Professionals aiming to translate the technical implications of AI into business-relevant insights
Those leading or influencing AI policy, process development, and organisational protections for data and networks

Ideal for participants who:

Want to ensure AI initiatives are implemented safely, ethically, and in line with organisational objectives
Are responsible for bridging technical AI considerations with operational and business outcomes
Seek practical guidance on developing and embedding AI policy and governance frameworks

Preparation

This workshop is highly interactive with group activities and discussions throughout. Come prepared with some current challenges you are facing in your organisation. To participate you’ll need:

A computer with camera and microphone
Strong internet connection
Quiet, well-lit space

Meet Your Facilitator

Philip Wagner

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 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

Agenda

11:00 AM 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

11:50 AM Lunch Break

12:45 PM The Foundations of AI Policy – Theory and Practice

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

1:50 PM Break

1:55 PM Implementing AI Policy In your Organisation

Turn strategy into action with a practical session on developing your organisation’s AI Policy Project Plan. Using a structured PPPTT framework — Policy, Planning, Process, Technology, and Training — you’ll map out a business case and outline the key steps for successful implementation. A project plan template will be provided to guide your next phase of execution.

2:25 PM Reflections and Closing remark

2:30 PM End of Day 1

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*Group Discounts Available - Contact Registrations at training@publicsector.academy or call on (02) 9057 9070

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