FWO

Fair Work Ombudsman

Tracked since 26 Feb 2026 · 2 changes of substance across 5 versions · last changed 25 Aug 2026

What’s changed

How to read this
  1. Tracking begins. The statement already existed, and doesn’t say when it was first published.

  2. substantive Rewrites its statement for policy v2.0: names a shared Chief AI Officer, drops mention of its website chatbot, says the public never interacts with its AI, and adds an email contact.

    read by Claude Opus 5.5
    • Chief AI Officer role now shared by the CIO and the Regulatory Transformation Group Manager; the CIO remains the AI Accountable Official
    • New commitment: no AI where the public may directly interact with it or be significantly affected by it
    • Removed: disclosure of a website chatbot and language-conversion tools
    • Classification widened from workplace productivity and analytics to include compliance and fraud detection, law enforcement and security, policy and legal, and corporate uses
    • New statement that all compliance, enforcement and entitlement decisions are made by authorised staff and that AI is strictly advisory
    • Claims compliance with policy v2.0; AI Strategy 2026–27 and AI Governance Framework to be formalised in March 2026
    • New monitoring measures: risk assessments before and after deployment, executive oversight, human oversight of outputs
    • Contact changed from a feedback form to aiqueries@fwo.gov.au
    • Review triggers now include any new factor that materially affects the statement's accuracy
    • Removed: whole-of-government Copilot trial, privacy and cyber security commitments, staff consultation commitment and the OECD AI definition
    • Removed: Commitment dropped (will): AI governance framework will follow OAIC best practice guidance on commercial AI and personal information
    • Removed: Commitment dropped (will): All AI initiatives will align with the Protective Security Policy Framework and Information Security Manual
    • Removed: Commitment dropped (will): Consult employees about the potential use of AI in the workplace
    • Removed: Commitment dropped (will): Develop internal policies to guide AI use and provide training to build staff capability
    • Removed: Commitment dropped (will): Establish a new internal governance body to provide strategic direction and monitor AI initiatives
    • Removed: Commitment dropped (will): If personal information is used in AI, comply with Australian Privacy Principles and explain its use transparently
    • Removed: Domain dropped: service delivery
    • Removed: Named tool dropped: Microsoft 365 Copilot
    • Removed: Safeguard dropped: acceptable use policy
    • Removed: Safeguard dropped: governance body
    • Removed: Safeguard dropped: privacy or security controls
    • Removed: Safeguard dropped: staff training
    • Removed: Staff training: available → not mentioned
    • Added: Chief AI Officer: not mentioned → in place
    • Added: Domain added: compliance and fraud detection
    • Added: Domain added: law enforcement intelligence and security
    • Added: Domain added: policy and legal
    • Added: New commitment (will): Formalise strategic approach with AI Strategy 2026–27 and AI Governance Framework in March 2026
    • Added: Safeguard added: human review of outputs
    • Added: Strategic position on AI: not mentioned → in place
    • Changed: Policy version referenced: unspecified → v2
    • Changed: Public-facing AI use: unclear → none
    Show the words that changed ↓
  3. substantive Rewrites its statement to report the AI Strategy and Governance Framework as adopted and add a compliance checklist, but drops the named Chief AI Officer and Accountable Official roles.

    read by Claude Opus 5.5
    • Removed: Chief AI Officer role shared by the CIO and the Regulatory Transformation Group Manager
    • Removed: naming of the CIO as the AI Accountable Official
    • AI Strategy 2026–27 and AI Governance Framework now reported as published internally in March 2026, not merely planned
    • New compliance table for each mandatory policy requirement, with several marked 'Yes' while noted as 'In progress'
    • Staff AI training reported at about 95% as at June 2026
    • Adds an internal AI use case register, mandatory DTA AI impact assessments for all use cases, and supply chain monitoring
    • States no high-risk in-scope AI use cases have been identified
    • Contact email now also accepts AI safety concerns
    • Removed: reference to the AI Ethics Principles as guiding use
    • Classification table rebuilt, and use cases appear to have moved between usage patterns (e.g. law enforcement now under workplace productivity)
    • Removed: Chief AI Officer: in place → not mentioned
    • Removed: Legislative compliance statement removed
    • Added: AI use-case register: not mentioned → in place
    • Added: New commitment (will): Every new and existing AI use case will undergo mandatory risk assessment using DTA's AI Impact Assessment tool
    • Added: Safeguard added: staff training
    • Added: Safeguard added: use case register
    • Added: Staff training: not mentioned → mandatory
    • Added: Usage pattern added: decision making and administrative action
    • Changed: Commitment kept (will): Formalise strategic approach with AI Strategy 2026–27 and AI Governance Framework in March 2026
    Show the words that changed ↓

What the statement says

How to read this

The Fair Work Ombudsman uses commercially available AI internally, in a strictly advisory role, for decision support, analytics and workplace productivity across its compliance, enforcement, policy and legal, and corporate work. Staff review all outputs, and the public does not interact with AI without human review. The agency governs this through its AI Strategy 2026–27 and AI Governance Framework, an internal use-case register and impact assessments, and says it complies with policy v2.0. read by Claude Opus 5.5

What it says AI is used for

  • Decision making and administrative action
  • Analytics for insights
  • Workplace productivity
  • Compliance and fraud detection
  • Law enforcement, intelligence and security
  • Policy and legal
  • Corporate and enabling

Public-facing AI: none

Safeguards named: risk assessment, human review of outputs, use-case register, staff training

The Standard’s eight elements 6 of 8

  • Found: Intentions behind AI use
  • Found: Use classified by DTA usage pattern or domain
  • Found: Public-facing use addressed
  • Found: Monitoring and protection measures
  • Found: Compliance with the policy
  • Not found: Compliance with legislation
  • Not found: Date last updated
  • Found: Public contact

What the policy requires Policy v2.0

Accountable official
designated
Strategic position on AI
in place
AI use-case register
in place
Staff training
mandatory
Policy version referenced
version 2.0

What the AI Plan asks AI Plan

Chief AI Officer
not mentioned

Dates as of 12 Oct 2026

Review schedule
annually and when the approach changes
Says it was last updated
no date given
Last change we saw
25 Aug 2026
Updated since policy v2.0
yes

Commitments

  • human oversight All AI will have human oversight and will not replace human decision-making
  • will Review and update the statement at least annually or on significant changes
  • will Every new and existing AI use case will undergo mandatory risk assessment using DTA's AI Impact Assessment tool

The statement

How to read this

We are committed to the safe and responsible use of AI to support our purpose of promoting harmonious, productive, cooperative, and compliant workplace relations. Our use of AI is guided by our AI Strategy 2026–27 and AI Governance Framework, both of which comply with the D igital Transformation Agency's (DTA) Policy for Responsible Use of AI in Government 2.0. (Template language)

We use secure and commercially available AI systems and AI capabilities to address a variety of AI use cases, enabling our staff to focus on high-value complex work. AI systems and AI capabilities are strictly advisory: our staff review and verify all outputs, and make all decisions about compliance, enforcement, and entitlements.

We classify our AI use cases using the DTA's Classification system for AI use for domains and usage patterns. We do not have AI use cases where the public may directly interact with AI, or be significantly impacted by AI or its outputs, without human review.

Domain Decision making and administrative action Analytics for insights Workplace productivity Image processing
Service delivery
Compliance and fraud detection Internal use Internal use
Law enforcement, intelligence and security Internal use
Policy and legal Internal use Internal use
Scientific
Corporate and enabling Internal use Internal use

AI-related risks are managed through our AI Governance Framework, along with our existing risk management procedures and protocols. T he following measures enable us to actively monitor the effectiveness and safety of our AI systems and AI capabilities, and protect the public against negative impacts.

Measure Description
AI Use Case Register We maintain an internal register of all our in-scope AI use cases, managed by the Accountable Official (AO).
AI Impact Assessments Every new and existing AI use case will undergo a mandatory risk assessment using the DTA's AI Impact Assessment tool.
Supply chain monitoring We monitor our AI supply chain.
Executive oversight The AI Accountable Official (AO) provides high-level oversight of the Agency's AI adoption to ensure it remains within the Agency's risk appetite and aligns with whole-of-government policy.
Human oversight AI outputs are always reviewed by our staff.
(Template language)

The Agency is compliant with the mandatory requirements in the DTA's Policy for Responsible Use of AI in Government 2.0. (Template language)

Requirement Compliant Notes
AI transparency statement Yes
Strategic position on AI adoption Yes AI Strategy 2026-27 published internally and communicated to all staff in March 2026.
AI Accountable Official designation Yes
Accountable Use Case Owners designation Yes In progress.
Internal AI Use Case Register Yes
Share Internal AI Use Case Register with DTA every six months Yes Not shared yet because it is earlier than 6 months.
Operationalise the responsible use of AI Yes AI Governance Framework published internally in March 2026 and currently being implemented.
Staff training on AI Yes In progress. About 95% as at June 2026.
Assessment of new AI use cases against in-scope criteria Yes
AI Impact Assessment for in-scope AI use cases Yes In progress.
Report high-risk in-scope AI use cases to DTA Yes No high-risk in-scope AI use cases determined.
(Template language)

Reviews, updates, and contact information

It will be reviewed and updated at least once a year, when we make a significant change to our approach to AI, or when any new factor materially impacts this accuracy of this statement.

For enquiries or comments regarding this statement, or for AI safety concerns, please contact us at aiqueries@fwo.gov.au.

Statement text © Fair Work Ombudsman. Most agency content is CC BY 4.0; check the original for its terms.

Every version

Every copy the daily scrape saved that differed from the one before, including minor edits. Pick a dot to see the statement as it was then.

  1. substantive +2

    Rewrites its statement to report the AI Strategy and Governance Framework as adopted and add a compliance checklist, but drops the named Chief AI Officer and Accountable Official roles.

    read by Claude Opus 5.5
    The words that changed
    # AI Transparency Statement ## Introduction This statement outlines how the Office of the Fair Work Ombudsman (Agency) uses artificial intelligence (AI), how AI-related risks are governed and managed, and how the Agency complies with the Digital Transformation Agency’s (DTA) Policy for Responsible Use of AI in Government 2.0 and other applicable Commonwealth AI legislation, regulations, and frameworks. The Agency is committed to aAI use We are committed to the safe and responsible use of AI to support our purpose of promoting harmonious, productive, cooperative, and compliant workplace relations. This means that while AI systems and capabilities may provide insightsOur use of AI is guided by our administrative support, all decisions regarding compliance, enforcement, and entitlements, are made by authorised Agency staff. AI systems and capabilities are strictly advisory, and their outputs are reviewed and verified by our staff. ## Approach to AI use Our use of AI is guided by the AI Strategy 2026–27 and AI Governance Framework, both of which comply with the D igital Transformation Agency's (DTA’s) Policy for Responsible Use of AI in Government 2.0, the Department of Industry Science and Resources Australia’s AI Ethics Principles, and our Agency's core operational principles. We use secure, and commercially available software (including generative AI systems and AI capabilities) to address a variety of AI use cases, enabling our staffff to focus on high-value complex work. ## Classification of AI use Consistent with the DTA’s AI systems and AI capabilities are strictly advisory: our staff review and verify all outputs, and make all decisions about compliance, enforcement, and entitlements. ## Classifification system forof AI use, w We classify our current AI use cases undersing the followingDTA's Classification system for AI use for domains and usage patterns; noting w. We do not ushave AI use cases where the public may directly interact with AI, or be signifificantly impacted by it: AI or its outputs, without human review. | Domain | Decision making and administrative action | Analytics for insights | Workplace productivity | Image processing | | --- | --- | --- | --- | --- | | Service delivery | | | | | | Compliance and fraud detection | Internal use | Internal use | | | | Law enforcement, intelligence and security | | | Internal use | | | Policy and legal | Internal use | Internal use | | | | Scientific | | | | | | Corporate and enabling | Internal use | Internal use ## Governance To ensure appropriate | | | ## Monitoring AI-related risks are managed through our AI gGovernance, oversight and leadership, the Agency has established designated accountability roles including that of the: - AI Accountable Official (AO): The Chief Information Officer (CIO) is the Agency’s designated AI Accountable Official (AO), responsible for the implementation and oversight of AI initiatives. - Chief AI Officer (CAIO): The Chief Information Officer (CIO) and the Regulatory Transformation Group Manager share the role of Chief AI Officer (CAIO), providing strategic leadership, and helping drive AI adoption and cultural change within the Agency. ## Monitoring AI-related risks are managed through the Agency’s existing risk management procedures and protocols and executive oversight. The following measures enable us to actively monitor the effectiveness and safety of AI technologies: - Risk assessments: We apply Agency risk management processes to evaluate proposed AI systems and AI capabilities, taking into consideration, privacy, security, and operational risks before and after deployment. - Framework, along with our existing risk management procedures and protocols. T he following measures enable us to actively monitor the effectiveness and safety of our AI systems and AI capabilities, and protect the public against negative impacts. | Measure | Description | | --- | --- | | AI Use Case Register | We maintain an internal register of all our in-scope AI use cases, managed by the Accountable Official (AO). | | AI Impact Assessments | Every new and existing AI use case will undergo a mandatory risk assessment using the DTA's AI Impact Assessment tool. | | Supply chain monitoring | We monitor our AI supply chain. | | Executive oversight: | The AOI Accountable Official (AO) provides high-level oversight of the Agency’'s AI adoption to ensure it remains within the Agency's risk appetite and aligns with whole-of-government policy. - | | Human oversight: The effectiveness of AI outputs is continually monitored by authorised staff using the AI systems and AI capabilities. | AI outputs are always reviewed by our staff. | ## Compliance The Agency is compliant with the mandatory requirements in the DTA’'s Policy for Responsible Use of AI in Government 2.0. We have established a strategic approach to AI adoption, which will be formalised with the Agency’s AI Strategy 2026–27 and AI Governance Framework in March 2026. | Requirement | Compliant | Notes | | --- | --- | --- | | AI transparency statement | Yes | | | Strategic position on AI adoption | Yes | AI Strategy 2026-27 published internally and communicated to all staff in March 2026. | | AI Accountable Official designation | Yes | | | Accountable Use Case Owners designation | Yes | In progress. | | Internal AI Use Case Register | Yes | | | Share Internal AI Use Case Register with DTA every six months | Yes | Not shared yet because it is earlier than 6 months. | | Operationalise the responsible use of AI | Yes | AI Governance Framework published internally in March 2026 and currently being implemented. | | Staff training on AI | Yes | In progress. About 95% as at June 2026. | | Assessment of new AI use cases against in-scope criteria | Yes | | | AI Impact Assessment for in-scope AI use cases | Yes | In progress. | | Report high-risk in-scope AI use cases to DTA | Yes | No high-risk in-scope AI use cases determined. | ## Reviews, updates, and contact information It will be reviewed and updated: - at least once a year -, when we makinge a signifificant change to the Agency'sour approach to AI -, or when any new factor materially impacts the existing statement's accuracyis accuracy of this statement. For any enquiries or comments regarding this statement, or for AI safety concerns, please contact us at aiqueries@fwo.gov.au.
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  2. noise -23

    The Fair Work Ombudsman's statement text is unchanged. The capture has moved from a PDF-style layout to clean Markdown headings and bullets, which drops page footers and PDF hyphenation artefacts.

    read by Claude Opus 5.5
    The words that changed
    www.fairwork.gov.au Page 1 # AI Transparency Statement ## Introduction This statement outlines how the Office of the Fair Work Ombudsman (Agency) uses artificial intelligence (AI), how AI-related risks are governed and managed, and how the Agency complies with the Digital Transformation Agency’s (DTA) Policy for Responsible Use of AI in Government 2.0 and other applicable Commonwealth AI legislation, regulations, and frameworks.\ The Agency is committed to a safe and responsible use of AI to support our purpose of promoting harmonious, productive, cooperative, and compliant workplace relations. This means that while AI systems and capabilities may provide insights or administrative support, all decisions regarding compliance, enforcement, and entitlements, are made by authorised Agency staff. AI systems and capabilities are strictly advisory, and their outputs are reviewed and verified by our staff. ## Approach to AI use Our use of AI is guided by the DTA’s Policy for Responsible Use of AI in Government 2.0, the Department of Industry Science and Resources Australia’s AI Ethics Principles, and our Agency's core operational principles. We use secure, commercially available software (including generative AI systems and AI capabilities) to address a variety of AI use cases, enabling our staff to focus on high-value complex work. ## Classification of AI use Consistent with the DTA’s Classification system for AI use, we classify our current AI use cases under the following usage patterns; noting we do not use AI where the public may directly interact with, or be significantly impacted by it: Domain Decision making and administrative action Analytics for insights Workplace productivity Image processing Service delivery\ Compliance and fraud detection Internal use\ Law enforcement, intelligence and security Internal use\ Policy and legal Internal use Internal use\ Scientific\ Corporate and enabling Internal use Internal use www.fairwork.gov.au Page 2 ## Governance To ensure appropriate AI governance, oversight and leadership, the Agency has established designated accountability roles including that of the: • - AI Accountable Official (AO): The Chief Information Officer (CIO) is the Agency’s designated AI Accountable Official (AO), responsible for the implementation and oversight of AI initiatives. •- Chief AI Officer (CAIO): The Chief Information Officer (CIO) and the Regulatory Transformation Group Manager share the role of Chief AI Officer (CAIO), providing strategic leadership, and helping drive AI adoption and cultural change within the Agency. ## Monitoring AI-related risks are managed through the Agency’s existing risk management procedures and protocols and executive oversight. The following measures enable us to actively monitor the effectiveness and safety of AI technologies: • - Risk assessment s: We apply Agency risk management processes to evaluate proposed AI systems and AI capabilities, taking into consideration, privacy, security, and operational risks before and after deployment. •- Executive oversight: The AO provides high -level oversight of the Agency’s AI adoption to ensure it remains within the Agency's risk appetite and aligns with whole -of-government policy. •- Human oversight: The effectiveness of AI outputs is continually monitored by authorised staff using the AI systems and AI capabilities.\ ## Compliance The Agency is compliant with the DTA’s Policy for Responsible Use of AI in Government 2.0. We have established a strategic approach to AI adoption, which will be formalised with the Agency’s AI Strategy 2026–27 and AI Governance Framework in March 2026.\ ## Reviews, update, and contact information It will be reviewed and updated: • - at least once a year •- when making a significant change to the Agency's approach to AI •- when any new factor materially impacts the existing statement's accuracy. For any enquiries or comments regarding this statement, please contact us at aiqueries@fwo.gov.au.
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  3. noise -90
    The words that changed
    www.fairwork.gov.au Page 1 AI Transparency Statement Introduction This statement outlines how the Office of the Fair Work Ombudsman (Agency) uses artificial intelligence (AI), how AI-related risks are governed and managed, and how the Agency complies with the Digital Transformation Agency’s (DTA) Policy for Responsible Use of AI in Government 2.0 and other applicable Commonwealth AI legislation, regulations, and frameworks. \ The Agency is committed to a safe and responsible use of AI to support our purpose of promoting harmonious, productive, cooperative, and compliant workplace relations. This means that while AI systems and capabilities may provide insights or administrative support, all decisions regarding compliance, enforcement, and entitlements, are made by authorised Agency staff. AI systems and capabilities are strictly advisory, and their outputs are reviewed and verified by our staff. Approach to AI use Our use of AI is guided by the DTA’s Policy for Responsible Use of AI in Government 2.0, the Department of Industry Science and Resources Australia’s AI Ethics Principles, and our Agency's core operational principles. We use secure, commercially available software (including generative AI systems and AI capabilities) to address a variety of AI use cases, enabling our staff to focus on high-value complex work. Classification of AI use Consistent with the DTA’s Classification system for AI use, we classify our current AI use cases under the following usage patterns; noting we do not use AI where the public may directly interact with, or be significantly impacted by it: Domain Decision making and administrative action Analytics for insights Workplace productivity Image processing Service delivery \ Compliance and fraud detection Internal use \ Law enforcement, intelligence and security Internal use \ Policy and legal Internal use Internal use \ Scientific \ Corporate and enabling Internal use Internal use www.fairwork.gov.au Page 2 Governance To ensure appropriate AI governance, oversight and leadership, the Agency has established designated accountability roles including that of the: • AI Accountable Official (AO): The Chief Information Officer (CIO) is the Agency’s designated AI Accountable Official (AO), responsible for the implementation and oversight of AI initiatives. • Chief AI Officer (CAIO): The Chief Information Officer (CIO) and the Regulatory Transformation Group Manager share the role of Chief AI Officer (CAIO), providing strategic leadership, and helping drive AI adoption and cultural change within the Agency. Monitoring AI-related risks are managed through the Agency’s existing risk management procedures and protocols and executive oversight. The following measures enable us to actively monitor the effectiveness and safety of AI technologies: • Risk assessment s: We apply Agency risk management processes to evaluate proposed AI systems and AI capabilities, taking into consideration, privacy, security, and operational risks before and after deployment. • Executive oversight: The AO provides high -level oversight of the Agency’s AI adoption to ensure it remains within the Agency's risk appetite and aligns with whole -of-government policy. • Human oversight: The effectiveness of AI outputs is continually monitored by authorised staff using the AI systems and AI capabilities. \ Compliance The Agency is compliant with the DTA’s Policy for Responsible Use of AI in Government 2.0. We have established a strategic approach to AI adoption, which will be formalised with the Agency’s AI Strategy 2026–27 and AI Governance Framework in March 2026. \ Reviews, update, and contact information It will be reviewed and updated: • at least once a year • when making a significant change to the Agency's approach to AI • when any new factor materially impacts the existing statement's accuracy. For any enquiries or comments regarding this statement, please contact us at aiqueries@fwo.gov.au.
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  4. substantive -3766

    Rewrites its statement for policy v2.0: names a shared Chief AI Officer, drops mention of its website chatbot, says the public never interacts with its AI, and adds an email contact.

    read by Claude Opus 5.5
    The words that changed
    1 www.fairwork.gov.au Page 1 AI Transparency Statement Introduction This statement outlines how the Office of the Fair Work Ombudsman (Agency) is committed to engaging responsibly and transparently with Auses artificial I intelligence (AI) technologies to support its purpose to promote harmonious, productive, and cooperative workplace relations. Recognising the transformative potential of AI, the Agency is taking a proactive but cautious approach, focusing on internal workforce improvements and internal capacity building while ensuring that AI is implemented ethically, securely, and responsibly. This statement outlines the, how AI-related risks are governed and managed, and how the Agency complies with the Digital Transformation Agency'’s commitment to meeting the(DTA) Policy for the Responsible Use of AI in Government (Policy). The Agency will adopt AI technologies transparently and securely, informed by genuine consultation with our staff and ensuring alignment with government-wide principles for responsible AI implementation. The Agency’s approach includes participation in Whole-of-Government Trials, developing robust internal governance structures2.0 and other applicable Commonwealth AI legislation, regulations, and frameworks. The Agency is committed to a safe and responsible use of AI to support our purpose of promoting harmonious, productive, cooperative, and a commitment to addressing critical areas such as purpose, decision-making, risk mitigation, data protection and public transparency as AI adoption evolves. Central to this commitment is maintaining public trust and ensuring AI activities we conduct are ethical and responsible. Commitment to Transparency and Public Trust The Agency recognises the importance of transparency in maintaining public trust as we determine our approach to, and implementation of, AI. We will ensure that AI adoption remains transparent, accountable, and aligned with the latest standards and ethical guidelines. If we decide to use personal information when we procure or build AI technologies, we will comply with the Australian Privacy Principles and will provide an explanation of how personal information has been used in a way which is transparent and easily understood. The Agency will continue to adopt AI cautiously, ensuring that use aligns with our core values of fairness, respect, and accountability, and that it delivers meaningful benefits to both the community we serve and our employees. 2 Current AI Use The Agency’s engagement with AI is in its initial stages and primarily focused on establishing robust governance processes to effectively leverage AI in a safe, ethical, and responsible way that complies with our legislative and policy obligations. For example, through the Whole-of-Government Co-Pilot AI Trial a small subset of Agency staff have undertaken training and explored the potential of this secure generative AI tool to enhance productivity and business outcomes. A number of software products we use to support our administrative functions include AI tools within the product offering. The Agency also leverages software products with AI features such as technologies used for language conversion and chatbot designed to make finding information on our website easier for users. Currently, AI is not used for dpliant workplace relations. This means that while AI systems and capabilities may provide insights or administrative support, all decisions regarding compliance, enforcement, and entitlements, are made by authorised Agency staff. AI systems and capabilities are strictly advisory, and their outputs are reviewed and verified by our staff. Approach to AI use Our use of AI is guided by the DTA’s Policy for Responsible Use of AI in Government 2.0, the Department of Industry Science and Resources Australia’s AI Ethics Principles, and our Agency's core operational principles. We use secure, commercially available software (including generative AI systems and AI capabilities) to address a variety of AI use cases, enabling our staff to focus on high-value complex work. Classification of AI use Consistent with the DTA’s Classification system for AI use, we classify our current AI use cases under the following usage patterns; noting we do not use AI where the public may directly interact with, or be significantly impacted by it: Domain Decision- making within the Agency or by the Fair Work Ombudsman (FWO). Our use of AI falls under the classification of wand administrative action Analytics for insights Workplace productivity and analytics for insights under the Policy. Guiding Principles and Planned Activities for AI Use The FWO is committed to establishing a strong foundation for responsible, ethical and transpar Image processing Service delivery Compliance and fraud detection Internal use Law enforcement, adoption of AI. As the Agency begins to explore the potential of AI technologies, it remains focused on setting up robust governance mechanisms and aligning with its core principles to ensure AI is implemented ethically and securely: Ethics and Accountintelligence and security Internal use Policy and legal Internal use Internal use Scientific Corporate and enability : Oversight of AI initiatives will be managed through a dedicated governance framework, including a new internal governance body to provide strategic direction, monitor AI initiatives and adoption, and ensure ethical and consultation considerations are addressed as the Agency adopts and integrates AI technologies. This will ensure that all AI has human oversight and will not replace human decision-making. Employee Consultation, Safety and Wellbeing : As both a regulator and an employer, the FWO is committed to ensuring that it consults with its employees about the potential use of AI in the workplace and that AI enhances workplace safety and wellbeing in addition to supporting the services we deliver. The Agency prioritises the responsible and ethical use of AI to support our employees to do the valuable work they provide to our community in a way that enhances our productivity and efficiency. We aim to be an employer that uses AI in our work in a manner that fulfils the objective of harmonious, productive, and cooperative workplace relations. 3 Caution and Proactivity: The Agency is taking a cautious yet proactive approach to AI adoption, focusing on gradual integration. This involves addressing risks and building internal expertise to create a sustainable and impactful AI framework. Privacy: The Agency is committed to ensuring that we maintain the trust of employers, employees, their representatives and our own employees in relation to our handling of personal information. Our AI governance framework will follow best practice guidance on the use of commercially available AI productng Internal use Internal use www.fairwork.gov.au Page 2 Governance To ensure appropriate AI governance, oversight and leadership, the Agency has established designated accountability roles including that of the: • AI Accountable Official (AO): The Chief Information Officer (CIO) is the Agency’s designated AI Accountable Official (AO), responsible for the implementation and oversight of AI initiatives. • Chief AI Officer (CAIO): The Chief Information Officer (CIO) and the Regulatory Transformation Group Manager share the role of Chief AI Officer (CAIO), providing strategic leadership, and helping drive AI adoption and cultural change within the Agency. Monitoring AI-related risks are managed through the Agency’s existing risk management procedures and on using personal information to train AI products published by the Office of the Australian Information Commission. Cyber Security: All AI initiatives will align with government security standards, including the Protective Security Policy Framework and Information Security Manual, to continue safeguarding sensitive data, our systems and ensure compliance with cyber security practices. In the coming year, the Agency will focus on the following key activities to support our adoption of AI: ● Governance and Oversight : Theprotocols and executive oversight. The following measures enable us to actively monitor the effectiveness and safety of AI technologies: • Risk assessment s: We apply Agency ris establishing governance mechanisms to ensure transparency, monitor AI initiatives and adoption, and evaluate ethical considerations and consult with our workk management processes to evaluate proposed AI systems and AI capabilities, taking into consideration, privacy, security, and operational risks beforce and stakeholders. These mechanisms will guide AI implementation, outline how we will undertake risk assessments, and provide a governance framework for responsible and ethical AI use. ● AI Use Case Exploration : Initial efforts will focus on internal AI applications in workplace productivity and data insights using controlled pilot projects. The Agency will develop internal policies to guide AI use, provide training to build staff capability, and evaluate the potential of AI to streamline processes while maintaining ethical safeguards. AI Acafter deployment. • Executive oversight: The AO provides high -level oversight of the Agency’s AI adoption to ensure it remains within the Agency's risk appetite and aligns with whole -of-government policy. • Human oversight: The effectiveness of AI outputs is countable Official The FWO has appointed the Chief Information Officer as the AI Accountable Official responsible for: ● overseeing the development and implementation of AI initiatives within the Agency, ● ensuringinually monitored by authorised staff using the AI systems and AI capabilities. Compliance The Agency is compliancet with the DTA’s Policy and other relevant frameworks, ● providing strategic oversightfor Responsible Use onf AI governance and risk management, and ● acting as a key liaison for whole-of-government AI collaboration. 4 Artificial Intelligence definition When discussing AI, the Agency applies the Organisation for Economic Co-operation and Development definition: An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment.in Government 2.0. We have established a strategic approach to AI adoption, which will be formalised with the Agency’s AI Strategy 2026–27 and AI Governance Framework in March 2026. Reviews, Uupdates, and Ccontact Iinformation The FWO is committed to ensuring transparency as AI adoption evolves. This transparency statemenIt will be reviewed and updated: • at least annually or whenever there areonce a year • when making a significant changes to the Agency’'s AI use, governance framework or relevant government policiesapproach to AI • when any new factor materially impacts the existing statement's accuracy. For any ienquiries or comments regarding this statement, please complete our Feedback formntact us at aiqueries@fwo.gov.au.
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  5. first tracked +7811

    First tracked version.

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