ACMA

Australian Communications and Media Authority

Tracked since 11 Nov 2025 · 2 changes of substance across 8 versions · last changed 26 June 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 Says the statement was last reviewed in February 2026 and widens its review triggers to include changes in the Government's approach to AI, with review at least annually.

    read by Claude Opus 5.5
    • Discloses a review of the statement in February 2026 (previously only 'first published February 2025')
    • Review trigger extended to significant changes in the Government's approach to AI, not just the ACMA's
    • Review cadence now 'at least annually' rather than 'annually'
    • Changed: Stated first-published date: 2025-02 → —
    • Changed: Stated last-updated date: — → 2026-02
    Show the words that changed ↓
  3. substantive Rewrites its statement for policy v2.0. It now discloses current use of generative AI, including image generation, names a Chief AI Officer appointed in February 2026 and adds a contact email.

    read by Claude Opus 5.5
    • Chief AI Officer appointed in February 2026
    • Workplace productivity AI moved from potential benefit to current use of generative AI
    • New disclosed uses: image processing and generation, and dataset analysis for patterns and trends
    • New commitment that AI will not make final regulatory or enforcement decisions without accountable human judgement
    • Removed: Chief Information and Digital Officer named as accountable official (now an unnamed AI Accountable Official)
    • Removed: commitment not to plan AI in services the public may directly interact with or be significantly impacted by, replaced with narrower 'does not currently deploy AI in direct interactions with the public'
    • Removed: rule that generative AI tools may not be used without specific approval and prior staff training, replaced with mandatory AI training for all staff and risk assessment before approval
    • Removed: Steering Committee's regular review of medium- to high-risk AI projects, replaced with periodic monitoring and power to pause or stop systems
    • New commitment to consult staff and their representatives on AI affecting work practices
    • Adopts the OECD AI definition and the DTA usage classification; intends to use GovAI
    • Contact email info@acma.gov.au added
    • Removed: 'last reviewed February 2026' date
    • Removed: Commitment dropped (will): If plans change on public-facing AI, will update this statement to detail AI use
    • Removed: Commitment dropped (will): Will be transparent in internal use of AI as we explore, evaluate and adopt it
    • Removed: Strategic position on AI: in place → not mentioned
    • Added: Chief AI Officer: not mentioned → in place
    • Added: Legislative compliance statement added
    • Added: New commitment (human oversight): AI supports, never replaces, staff professional judgement; decisions and advice remain with ACMA staff
    • Added: New commitment (human oversight): AI will not make final regulatory or enforcement decisions without accountable human judgment
    • Added: New commitment (will not): Will not use AI inconsistently with legal obligations, public trust responsibilities or Australian Government policy
    • Added: New commitment (will): Any future AI use subject to appropriate governance, risk assessment and human oversight
    • Added: New commitment (will): Will consult staff and representatives on AI uses materially affecting work practices, roles or responsibilities
    • Added: Public contact added
    • Added: Safeguard added: human review of outputs
    • Added: Safeguard added: incident or concern reporting
    • Added: Usage pattern added: decision making and administrative action
    • Added: Usage pattern added: image processing
    • Changed: Policy version referenced: v1 → v2
    • Changed: Stated last-updated date: 2026-02 → —
    Show the words that changed ↓
  4. One cosmetic edit : Updates the linked compliance priorities title from 2025–26 to 2026–27; the AI transparency content is unchanged.

What the statement says

How to read this

ACMA says it uses generative AI for staff productivity, data analysis, image processing, and software development and testing, all in corporate and enabling functions, and does not currently deploy AI in direct interactions with the public. Governance includes an AI Steering Committee, a Chief AI Officer appointed in February 2026, an AI Accountable Official, risk assessment before approval, an internal AI policy and mandatory staff training. read by Claude Opus 5.5

What it says AI is used for

  • Workplace productivity
  • Analytics for insights
  • Decision making and administrative action
  • Image processing
  • Corporate and enabling

Public-facing AI: none

Safeguards named: a governance body, an acceptable-use policy, staff training, risk assessment, audit or assurance, testing or evaluation, privacy or security controls, human review of outputs, incident or concern reporting

The Standard’s eight elements 8 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
  • Found: Compliance with legislation
  • Found: Date last updated
  • Found: Public contact

What the policy requires Policy v2.0

Accountable official
designated
Strategic position on AI
not mentioned
AI use-case register
not mentioned
Staff training
mandatory
Policy version referenced
version 2.0

What the AI Plan asks AI Plan

Chief AI Officer
in place (Chief AI Officer)

Dates as of 12 Oct 2026

Review schedule
annually and when the approach changes
Says it was last updated
Jun 2026
Last change we saw
26 June 2026
Updated since policy v2.0
yes
Annual review
stated date within the last year

Commitments

  • will not Generative AI tools must not be used unless approved and staff have undertaken AI training
  • will not Will not use AI inconsistently with legal obligations, public trust responsibilities or Australian Government policy
  • human oversight All AI-assisted systems are tested by humans before release
  • human oversight AI will not make final regulatory or enforcement decisions without accountable human judgment
  • human oversight AI supports, never replaces, staff professional judgement; decisions and advice remain with ACMA staff
  • will AI Steering Committee regularly reviews medium to high risk AI projects for compliance
  • will Statement reviewed annually or when significant change is made to AI approach
  • will Any future AI use subject to appropriate governance, risk assessment and human oversight
  • will Will consult staff and representatives on AI uses materially affecting work practices, roles or responsibilities

The statement

How to read this

We set strategic plans and priorities to guide our work and the benefits we aim to deliver.

Our corporate plan is prepared annually and is our primary strategic planning document.

View our annual work program.

Our compliance priorities outline our key areas of focus for the year. They will guide our efforts to deliver effective compliance and, where necessary, targeted enforcement action.

Our Data strategy 2024–25 sets out a 12-month plan to enhance digital, data and analytical capabilities across the ACMA. It aims to improve the discoverability, usability and safety of our data.

Data and analytics are critical tools and capabilities that position us for the future. As recognised in our 2024–25 corporate plan, data and analytics support our evidence-based regulatory analysis and actions, and give greater insight into, and understanding of, Australia’s communications and media sectors. This 2024 – 25 strategy will be updated with a 4-year strategy and governance framework in 2025 – 26.

Data strategy 2024–25 [pdf, 572.52 KB]

Our statement of intent responds to the Australian Government’s statement of expectations outlining its expectations of us.

On 12 June 2015, the then Minister for Communications announced that the Department of Infrastructure, Transport, Regional Development and Communications would conduct a wide-ranging review into the ACMA.

On 22 May 2017, the Australian Government released the final report of the ACMA review and its response.

For more information about the review, visit the Department of Infrastructure, Transport, Regional Development and Communications and the Arts.

ACMA AI transparency statement

The Digital Transformation Agency's Policy for the responsible use of AI in government sets out the Australian Government approach to embrace the opportunities of artificial intelligence (AI) for the benefit of Australians while ensuring its safe, ethical and responsible use, in line with community expectations. (Template language)

The Australian Communications and Media Authority (ACMA) adhere to this policy supporting its principles and requirements to enable a forward-leaning approach to agency adoption.

We are committed to building AI capabilities and exploring how we use AI to strengthen the quality, efficiency and integrity of our regulatory functions while maintaining public trust. We use AI in a safe and responsible manner to support, but never replace, the professional judgement of staff, with clear human oversight and accountability for decisions and advice remaining with ACMA staff.

In considering AI, we have adopted the OECD definition of AI, as outlined in the policy:

“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.” Also appears in 17 other agencies AASB ACCC ACQSC AER AFSA AIC AIFS ARPANSA ART ASSEA AUASB AUSTRADE BOM CER FWC IPA PC

Why the ACMA uses, or considers using, AI

The ACMA uses, and is considering further use of, AI to support efficient, lawful and evidence-informed regulation. AI may help staff manage information, analyse data, improve internal workflows and test or improve digital systems. The ACMA’s use of AI is intended to support staff judgement, not replace human responsibility for regulatory decisions.

The main reasons the ACMA is exploring or using AI are to:

  • improve the speed and consistency of internal analysis, research and document handling
  • support data management, data quality checking and insight generation
  • assist software development, debugging, testing and quality assurance for ACMA systems
  • help staff summarise, search and organise large volumes of internal information
  • improve workplace productivity while maintaining privacy, security, confidentiality and integrity
  • strengthen ACMA’s ability to understand technological change, including the use of AI, in the communications and media sectors it regulates

In line with the Australian Government classification system for AI use, we use and consider AI across our active domain in the following usage patterns.

We are currently using generative AI to improve workplace productivity for staff including:

  • helping answer questions from staff regarding workplace policies
  • summarising and transcribing meetings
  • summarising, editing or refining documents, emails, instant messages and other content
  • assist in the analysis to obtain insights from datasets, including identifying patterns and trends
  • image processing and generation

Decision making and administrative action Also appears in 4 other agencies ACQSC DISR OPC SERVICESAUSTRALIA

ACMA uses AI to support decision making and administrative activities, not to make final decisions without human involvement. This includes using AI to assist with software development, debugging and testing when developing and administering digital and data systems. These uses support staff productivity within IT and enabling functions. All usage is subject to human testing and review before release, including where systems may be accessed by the public.

ACMA sees benefits in using AI to assist with data and insights in the areas of data management and obtaining insights from data through interrogation and analysis. ACMA’s data and insights can influence our approach to regulation, policy and informing advice to government on legislation and regulation.

Monitoring and governing AI use

ACMA manages risks associated with AI use through the following measures:

  • AI tools and use cases are assessed for risks, including security, privacy and suitability, before approval. An internal AI policy sets requirements for responsible, ethical and secure use, including safeguards to protect the privacy, confidentiality and integrity of agency data and operations.
  • Approved AI uses are monitored to ensure they continue to operate as intended and remain appropriate over time, including periodic review of performance and unintended impacts.
  • AI is used to support, not replace, professional judgement, with decisions and advice remaining the responsibility of ACMA staff.
  • AI use is overseen through established governance arrangements. Where issues or increased risks are identified, outputs are reviewed by staff and escalated, and ACMA can restrict, pause or stop the use of an AI system.
  • ACMA requires staff to complete mandatory training on the responsible use of AI, with additional guidance and training for staff involved in AI‑enabled systems.

ACMA may explore additional uses of AI where it supports our regulatory, corporate or operational functions and aligns with our legal obligations, risk appetite and public trust responsibilities. ACMA will take advantage of evolutionary whole of government AI initiatives such as GovAI. Any future use of AI will be subject to appropriate governance, risk assessment and human oversight.

ACMA’s use of AI is governed through clear accountability and oversight arrangements:

  • Our approach is supported by an AI Steering Committee that oversees AI adoption, considers proposed use cases, and assesses associated risks and alignment with Australian Government policy and ethical principles.
  • We appointed a Chief AI Officer (CAIO) in February 2026 to lead AI adoption across the agency, champion strategic change and accelerate consistent and collaborative AI capability development across the APS.
  • ACMA has designated an AI Accountable Official to oversee implementation of the Australian Government Policy for the responsible use of AI in government and ensure appropriate governance, compliance and assurance arrangements are in place. (Template language)

We will not use AI in ways that are inconsistent with our legal obligations, public trust responsibilities, or Australian Government policy. AI will not make final regulatory decisions or enforcement decisions without accountable human judgment.

ACMA will use AI where it helps us do our work better, safely and lawfully. We will use AI to support our regulatory, corporate and operational functions where it improves efficiency, supports better analysis, or reduces manual work. ACMA will consult with staff and their representatives when considering AI uses that may materially affect work practices, roles or responsibilities.

ACMA does not currently deploy AI in direct interactions with the public.

We will review and update it at least annually, as our AI use matures or when a significant change is made to the agencies or the Government’s approach to AI.

For questions about this statement or further information on our use of AI, please contact info@acma.gov.au.

Next up: Compliance and enforcement priorities 2026–27 chevron_right

Statement text © Australian Communications and Media Authority. 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. noise -64
    The words that changed
    # Planning and priorities We set strategic plans and priorities to guide our work and the benefits we aim to deliver. ## Corporate plan Our [corporate plan](https://www.acma.gov.au/publications/2025-08/plan/corporate-plan-2025-26 "Corporate plan 2025–26"node/6020) is prepared annually and is our primary strategic planning document. View our [annual work program](https://www.acma.gov.au/acma-2025-26-annual-work-program "ACMA 2025–26 annual work program"). ## Compliance priorities Our [compliance priorities](https://www.acma.gov.au/compliance-priorities "Compliance and enforcement priorities 2026–27") outline our key areas of focus for the year. They will guide our efforts to deliver effective compliance and, where necessary, targeted enforcement action. ## Data strategy Our _Data strategy 2024–25_ sets out a 12-month plan to enhance digital, data and analytical capabilities across the ACMA. It aims to improve the discoverability, usability and safety of our data. Data and analytics are critical tools and capabilities that position us for the future. As recognised in our [2024–25 corporate plan](https://www.acma.gov.au/publications/2024-08/plan/corporate-plan-2024-25 "Corporate plan 2024–25"), data and analytics support our evidence-based regulatory analysis and actions, and give greater insight into, and understanding of, Australia’s communications and media sectors. This 2024 _–_ 25 strategy will be updated with a 4-year strategy and governance framework in 2025 _–_ 26. download pdf [ Data strategy 2024–25 [pdf, 572.52 KB] ](https://www.acma.gov.au/sites/default/files/2025-03/Data%20strategy%202025.pdf) ## Statement of intent Our [statement of intent](https://www.acma.gov.au/publications/2023-03/plan/acma-statement-intent "ACMA Statement of Intent") responds to the Australian Government’s [statement of expectations](https://www.infrastructure.gov.au/media-centre/publications/statement-expectations-australian-communications-and-media-authority) outlining its expectations of us. ## Review of the ACMA On 12 June 2015, the then Minister for Communications announced that the Department of Infrastructure, Transport, Regional Development and Communications would conduct a wide-ranging review into the ACMA. On 22 May 2017, the Australian Government released the final report of the ACMA review and its response. For more information about the review, visit the [Department of Infrastructure, Transport, Regional Development and Communications and the Arts](https://www.infrastructure.gov.au/have-your-say/acma-review). ## ACMA AI transparency statement The Digital Transformation Agency's [ _Policy for the responsible use of AI in government_](https://www.digital.gov.au/sites/default/files/documents/2025-12/Policy%20for%20the%20responsible%20use%20of%20AI%20in%20Government%202.0_0.pdf) sets out the Australian Government approach to embrace the opportunities of artificial intelligence (AI) for the benefit of Australians while ensuring its safe, ethical and responsible use, in line with community expectations. The Australian Communications and Media Authority (ACMA) adhere to this policy supporting its principles and requirements to enable a forward-leaning approach to agency adoption. We are committed to building AI capabilities and exploring how we use AI to strengthen the quality, efficiency and integrity of our regulatory functions while maintaining public trust. We use AI in a safe and responsible manner to support, but never replace, the professional judgement of staff, with clear human oversight and accountability for decisions and advice remaining with ACMA staff. ### AI definition In considering AI, we have adopted the OECD definition of AI, as outlined in the policy: “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.” ### Why the ACMA uses, or considers using, AI The ACMA uses, and is considering further use of, AI to support efficient, lawful and evidence-informed regulation. AI may help staff manage information, analyse data, improve internal workflows and test or improve digital systems. The ACMA’s use of AI is intended to support staff judgement, not replace human responsibility for regulatory decisions. The main reasons the ACMA is exploring or using AI are to: - improve the speed and consistency of internal analysis, research and document handling - support data management, data quality checking and insight generation - assist software development, debugging, testing and quality assurance for ACMA systems - help staff summarise, search and organise large volumes of internal information - improve workplace productivity while maintaining privacy, security, confidentiality and integrity - strengthen ACMA’s ability to understand technological change, including the use of AI, in the communications and media sectors it regulates ### How we use AI In line with the Australian Government [classification system for AI use](https://www.digital.gov.au/policy/ai/resources/use-classification), we use and consider AI across our active domain in the following usage patterns. ### Usage patterns\*\*\*\* #### Workplace productivity We are currently using generative AI to improve workplace productivity for staff including: - helping answer questions from staff regarding workplace policies - summarising and transcribing meetings - summarising, editing or refining documents, emails, instant messages and other content - assist in the analysis to obtain insights from datasets, including identifying patterns and trends - image processing and generation #### Decision making and administrative action ACMA uses AI to support decision making and administrative activities, not to make final decisions without human involvement. This includes using AI to assist with software development, debugging and testing when developing and administering digital and data systems. These uses support staff productivity within IT and enabling functions. All usage is subject to human testing and review before release, including where systems may be accessed by the public. #### Analytics for insights ACMA sees benefits in using AI to assist with data and insights in the areas of data management and obtaining insights from data through interrogation and analysis. ACMA’s data and insights can influence our approach to regulation, policy and informing advice to government on legislation and regulation. ### Monitoring and governing AI use ACMA manages risks associated with AI use through the following measures: - AI tools and use cases are assessed for risks, including security, privacy and suitability, before approval. An internal AI policy sets requirements for responsible, ethical and secure use, including safeguards to protect the privacy, confidentiality and integrity of agency data and operations. - Approved AI uses are monitored to ensure they continue to operate as intended and remain appropriate over time, including periodic review of performance and unintended impacts. - AI is used to support, not replace, professional judgement, with decisions and advice remaining the responsibility of ACMA staff. - AI use is overseen through established governance arrangements. Where issues or increased risks are identified, outputs are reviewed by staff and escalated, and ACMA can restrict, pause or stop the use of an AI system. - ACMA requires staff to complete mandatory training on the responsible use of AI, with additional guidance and training for staff involved in AI‑enabled systems. ### Future AI use intentions ACMA may explore additional uses of AI where it supports our regulatory, corporate or operational functions and aligns with our legal obligations, risk appetite and public trust responsibilities. ACMA will take advantage of evolutionary whole of government AI initiatives such as GovAI. Any future use of AI will be subject to appropriate governance, risk assessment and human oversight. ### Compliance and accountability ACMA’s use of AI is governed through clear accountability and oversight arrangements: - Our approach is supported by an AI Steering Committee that oversees AI adoption, considers proposed use cases, and assesses associated risks and alignment with Australian Government policy and ethical principles. - We appointed a Chief AI Officer (CAIO) in February 2026 to lead AI adoption across the agency, champion strategic change and accelerate consistent and collaborative AI capability development across the APS. - ACMA has designated an AI Accountable Official to oversee implementation of the Australian Government Policy for the responsible use of AI in government and ensure appropriate governance, compliance and assurance arrangements are in place. We will not use AI in ways that are inconsistent with our legal obligations, public trust responsibilities, or Australian Government policy. AI will not make final regulatory decisions or enforcement decisions without accountable human judgment. ### Transparency ACMA will use AI where it helps us do our work better, safely and lawfully. We will use AI to support our regulatory, corporate and operational functions where it improves efficiency, supports better analysis, or reduces manual work. ACMA will consult with staff and their representatives when considering AI uses that may materially affect work practices, roles or responsibilities. ACMA does not currently deploy AI in direct interactions with the public. We will review and update it at least annually, as our AI use matures or when a significant change is made to the agencies or the Government’s approach to AI. ### Contact For questions about this statement or further information on our use of AI, please contact [info@acma.gov.au](mailto:info@acma.gov.au). [ Next up: Compliance and enforcement priorities 2026–27 chevron_right ](https://www.acma.gov.au/compliance-priorities)
    7a1886b
  2. cosmetic 0

    Updates the linked compliance priorities title from 2025–26 to 2026–27; the AI transparency content is unchanged.

    read by Claude Opus 5.5
    The words that changed
    # Planning and priorities We set strategic plans and priorities to guide our work and the benefits we aim to deliver. ## Corporate plan Our [corporate plan](https://www.acma.gov.au/publications/2025-08/plan/corporate-plan-2025-26 "Corporate plan 2025–26") is prepared annually and is our primary strategic planning document. View our [annual work program](https://www.acma.gov.au/acma-2025-26-annual-work-program "ACMA 2025–26 annual work program"). ## Compliance priorities Our [compliance priorities](https://www.acma.gov.au/compliance-priorities "Compliance and enforcement priorities 20256–267") outline our key areas of focus for the year. They will guide our efforts to deliver effective compliance and, where necessary, targeted enforcement action. ## Data strategy Our _Data strategy 2024–25_ sets out a 12-month plan to enhance digital, data and analytical capabilities across the ACMA. It aims to improve the discoverability, usability and safety of our data. Data and analytics are critical tools and capabilities that position us for the future. As recognised in our [2024–25 corporate plan](https://www.acma.gov.au/publications/2024-08/plan/corporate-plan-2024-25 "Corporate plan 2024–25"), data and analytics support our evidence-based regulatory analysis and actions, and give greater insight into, and understanding of, Australia’s communications and media sectors. This 2024 _–_ 25 strategy will be updated with a 4-year strategy and governance framework in 2025 _–_ 26. download pdf [ Data strategy 2024–25 [pdf, 572.52 KB] ](https://www.acma.gov.au/sites/default/files/2025-03/Data%20strategy%202025.pdf) ## Statement of intent Our [statement of intent](https://www.acma.gov.au/publications/2023-03/plan/acma-statement-intent "ACMA Statement of Intent") responds to the Australian Government’s [statement of expectations](https://www.infrastructure.gov.au/media-centre/publications/statement-expectations-australian-communications-and-media-authority) outlining its expectations of us. ## Review of the ACMA On 12 June 2015, the then Minister for Communications announced that the Department of Infrastructure, Transport, Regional Development and Communications would conduct a wide-ranging review into the ACMA. On 22 May 2017, the Australian Government released the final report of the ACMA review and its response. For more information about the review, visit the [Department of Infrastructure, Transport, Regional Development and Communications and the Arts](https://www.infrastructure.gov.au/have-your-say/acma-review). ## ACMA AI transparency statement The Digital Transformation Agency's [ _Policy for the responsible use of AI in government_](https://www.digital.gov.au/sites/default/files/documents/2025-12/Policy%20for%20the%20responsible%20use%20of%20AI%20in%20Government%202.0_0.pdf) sets out the Australian Government approach to embrace the opportunities of artificial intelligence (AI) for the benefit of Australians while ensuring its safe, ethical and responsible use, in line with community expectations. The Australian Communications and Media Authority (ACMA) adhere to this policy supporting its principles and requirements to enable a forward-leaning approach to agency adoption. We are committed to building AI capabilities and exploring how we use AI to strengthen the quality, efficiency and integrity of our regulatory functions while maintaining public trust. We use AI in a safe and responsible manner to support, but never replace, the professional judgement of staff, with clear human oversight and accountability for decisions and advice remaining with ACMA staff. ### AI definition In considering AI, we have adopted the OECD definition of AI, as outlined in the policy: “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.” ### Why the ACMA uses, or considers using, AI The ACMA uses, and is considering further use of, AI to support efficient, lawful and evidence-informed regulation. AI may help staff manage information, analyse data, improve internal workflows and test or improve digital systems. The ACMA’s use of AI is intended to support staff judgement, not replace human responsibility for regulatory decisions. The main reasons the ACMA is exploring or using AI are to: - improve the speed and consistency of internal analysis, research and document handling - support data management, data quality checking and insight generation - assist software development, debugging, testing and quality assurance for ACMA systems - help staff summarise, search and organise large volumes of internal information - improve workplace productivity while maintaining privacy, security, confidentiality and integrity - strengthen ACMA’s ability to understand technological change, including the use of AI, in the communications and media sectors it regulates ### How we use AI In line with the Australian Government [classification system for AI use](https://www.digital.gov.au/policy/ai/resources/use-classification), we use and consider AI across our active domain in the following usage patterns. ### Usage patterns\*\*\*\* #### Workplace productivity We are currently using generative AI to improve workplace productivity for staff including: - helping answer questions from staff regarding workplace policies - summarising and transcribing meetings - summarising, editing or refining documents, emails, instant messages and other content - assist in the analysis to obtain insights from datasets, including identifying patterns and trends - image processing and generation #### Decision making and administrative action ACMA uses AI to support decision making and administrative activities, not to make final decisions without human involvement. This includes using AI to assist with software development, debugging and testing when developing and administering digital and data systems. These uses support staff productivity within IT and enabling functions. All usage is subject to human testing and review before release, including where systems may be accessed by the public. #### Analytics for insights ACMA sees benefits in using AI to assist with data and insights in the areas of data management and obtaining insights from data through interrogation and analysis. ACMA’s data and insights can influence our approach to regulation, policy and informing advice to government on legislation and regulation. ### Monitoring and governing AI use ACMA manages risks associated with AI use through the following measures: - AI tools and use cases are assessed for risks, including security, privacy and suitability, before approval. An internal AI policy sets requirements for responsible, ethical and secure use, including safeguards to protect the privacy, confidentiality and integrity of agency data and operations. - Approved AI uses are monitored to ensure they continue to operate as intended and remain appropriate over time, including periodic review of performance and unintended impacts. - AI is used to support, not replace, professional judgement, with decisions and advice remaining the responsibility of ACMA staff. - AI use is overseen through established governance arrangements. Where issues or increased risks are identified, outputs are reviewed by staff and escalated, and ACMA can restrict, pause or stop the use of an AI system. - ACMA requires staff to complete mandatory training on the responsible use of AI, with additional guidance and training for staff involved in AI‑enabled systems. ### Future AI use intentions ACMA may explore additional uses of AI where it supports our regulatory, corporate or operational functions and aligns with our legal obligations, risk appetite and public trust responsibilities. ACMA will take advantage of evolutionary whole of government AI initiatives such as GovAI. Any future use of AI will be subject to appropriate governance, risk assessment and human oversight. ### Compliance and accountability ACMA’s use of AI is governed through clear accountability and oversight arrangements: - Our approach is supported by an AI Steering Committee that oversees AI adoption, considers proposed use cases, and assesses associated risks and alignment with Australian Government policy and ethical principles. - We appointed a Chief AI Officer (CAIO) in February 2026 to lead AI adoption across the agency, champion strategic change and accelerate consistent and collaborative AI capability development across the APS. - ACMA has designated an AI Accountable Official to oversee implementation of the Australian Government Policy for the responsible use of AI in government and ensure appropriate governance, compliance and assurance arrangements are in place. We will not use AI in ways that are inconsistent with our legal obligations, public trust responsibilities, or Australian Government policy. AI will not make final regulatory decisions or enforcement decisions without accountable human judgment. ### Transparency ACMA will use AI where it helps us do our work better, safely and lawfully. We will use AI to support our regulatory, corporate and operational functions where it improves efficiency, supports better analysis, or reduces manual work. ACMA will consult with staff and their representatives when considering AI uses that may materially affect work practices, roles or responsibilities. ACMA does not currently deploy AI in direct interactions with the public. We will review and update it at least annually, as our AI use matures or when a significant change is made to the agencies or the Government’s approach to AI. ### Contact For questions about this statement or further information on our use of AI, please contact [info@acma.gov.au](mailto:info@acma.gov.au). [ Next up: Compliance and enforcement priorities 20256–267 chevron_right ](https://www.acma.gov.au/compliance-priorities)
    a42e72c
  3. substantive +4211

    Rewrites its statement for policy v2.0. It now discloses current use of generative AI, including image generation, names a Chief AI Officer appointed in February 2026 and adds a contact email.

    read by Claude Opus 5.5
    The words that changed
    # Planning and priorities We set strategic plans and priorities to guide our work and the benefits we aim to deliver. ## Corporate plan Our [corporate plan](https://www.acma.gov.au/publications/2025-08/plan/corporate-plan-2025-26 "Corporate plan 2025–26") is prepared annually and is our primary strategic planning document. View our [annual work program](https://www.acma.gov.au/acma-2025-26-annual-work-program "ACMA 2025–26 annual work program"). ## Compliance priorities Our [compliance priorities](https://www.acma.gov.au/compliance-priorities "Compliance and enforcement priorities 2025–26") outline our key areas of focus for the year. They will guide our efforts to deliver effective compliance and, where necessary, targeted enforcement action. ## Data strategy Our _Data strategy 2024–25_ sets out a 12-month plan to enhance digital, data and analytical capabilities across the ACMA. It aims to improve the discoverability, usability and safety of our data. Data and analytics are critical tools and capabilities that position us for the future. As recognised in our [2024–25 corporate plan](https://www.acma.gov.au/publications/2024-08/plan/corporate-plan-2024-25 "Corporate plan 2024–25"), data and analytics support our evidence-based regulatory analysis and actions, and give greater insight into, and understanding of, Australia’s communications and media sectors. This 2024 _–_ 25 strategy will be updated with a 4-year strategy and governance framework in 2025 _–_ 26. download pdf [ Data strategy 2024–25 [pdf, 572.52 KB] ](https://www.acma.gov.au/sites/default/files/2025-03/Data%20strategy%202025.pdf) ## Statement of intent Our [statement of intent](https://www.acma.gov.au/publications/2023-03/plan/acma-statement-intent "ACMA Statement of Intent") responds to the Australian Government’s [statement of expectations](https://www.infrastructure.gov.au/media-centre/publications/statement-expectations-australian-communications-and-media-authority) outlining its expectations of us. ## Review of the ACMA On 12 June 2015, the then Minister for Communications announced that the Department of Infrastructure, Transport, Regional Development and Communications would conduct a wide-ranging review into the ACMA. On 22 May 2017, the Australian Government released the final report of the ACMA review and its response. For more information about the review, visit the [Department of Infrastructure, Transport, Regional Development and Communications and the Arts](https://www.infrastructure.gov.au/have-your-say/acma-review). ## ACMA AI transparency statement The Digital Transformation Agency's [ _Policy for the responsible use of AI in government_](https://www.digital.gov.au/sites/default/files/documents/2024-085-12/Policy%20for%20the%20responsible%20use%20of%20AI%20in%20gGovernment%20v1.12.0_0.pdf) sets out the Australian Government approach to embrace the opportunities of AI and provide for safe and responsible use of AI in the Australian Public Serviceartificial intelligence (AI) for the benefit of Australians while ensuring its safe, ethical and responsible use, in line with community expectations. The Australian Communications and Media Authority (ACMA) adheres to this policy supporting its principles uander the "enable, engage, and evolve" framework. We will be transparent in our internal use of AI technology as we explore, evaluate and adopt AI technology to benefit our work and our stakeholders. Currently, ACMA does requirements to enable a forward-leaning approach to agency adoption. We are committed to building AI capabilities and exploring how we use AI to strengthen the quality, efficiency and integrity of our regulatory functions while maintaining public trust. We use AI in a safe and responsible manner to support, but never replace, the professional judgement of staff, with clear human oversight and accountability for decisions and advice remaining with ACMA staff. ### AI definition In considering AI, we have adopted the OECD definition of AI, as outlined in the policy: “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.” ### Why the ACMA uses, or considers using, AI The ACMA uses, and is considering further use of, AI to support efficient, lawful and evidence-informed regulation. AI may help staff manage information, analyse data, improve internal workflows and test or improve digital systems. The ACMA’s use of AI is intended to support staff judgement, not replan to use AI in services that the public may directly interact with or be significantly impacted by. If this ce human responsibility for regulatory decisions. The main reasons the ACMA is exploring or using AI are to: - improve the speed and consistency of internal analysis, research and document handling - support data management, data quality checking and insight generation - assist software development, debugging, testing and quality assurance for ACMA systems - help staff summarise, search anges, we will update this statement to detail our use of AI. ### AI use We may employ AI across various corporate and enabling functions, including software engineering, data analytics and workplace productivity. #### Software engineering ACMA uses AI to assist in software development, debugging and testing when developing digital and data solutions and administering ACMA systems. Some of these systems are accessed by the public, but all systems are tested byd organise large volumes of internal information - improve workplace productivity while maintaining privacy, security, confidentiality and integrity - strengthen ACMA’s ability to understand technological change, including the use of AI, in the communications and media sectors it regulates ### How we use AI In line with the Australian Government [classification system for AI use](https://www.digital.gov.au/policy/ai/resources/use-classification), we use and consider AI across our active domain in the following usage patterns. ### Usage patterns\*\*\*\* #### Workplace productivity We are currently using generative AI to improve workplace productivity for staff including: - helping answer questions from staff regarding workplace policies - summarising and transcribing meetings - summarising, editing or refining documents, emails, instant messages and other content - assist in the analysis to obtain insights from datasets, including identifying patterns and trends - image processing and generation #### Decision making and administrative action ACMA uses AI to support decision making and administrative activities, not to make final decisions without human involvement. This includes using AI to assist with software development, debugging and testing when developing and administering digital and data systems. These uses support staff productivity within IT and enabling functions. All usage is subject to humans to ensure they behave as expected before they are releasedesting and review before release, including where systems may be accessed by the public. #### Data aAnalytics for insights ACMA sees benefits in using AI to assist with data and insights in the areas of data management and obtaining insights from data through interrogation and analysis. ACMA’s data and insights can influence our approach to regulation, policy and informing advice to government on legislation. #### Workplace productivity We see the potential benefits in using AI to improve workplace productivity for staff including: - helping answer questions from and regulation. ### Monitoring and governing AI use ACMA manages risks associated with AI use through the following measures: - AI tools and use cases are assessed for risks, including security, privacy and suitability, before approval. An internal AI policy sets requirements for responsible, ethical and secure use, including staff reguarding workplace policies and entitlements - summarising documents, emails, instant messages and os to protect the privacy, confidentiality and integrity of agency data and operations. - Approved AI uses are monitored to ensure thery content - summarising and transcribing meetings ### Monitoring and governing AI use The ACMA has developed an overarching agency approach to AI and has established an AI Steering Committee to assess the opportunities and risks in using AI within ACMA. The Steering Committee considers AI use case benefits, risks, and guidelines as well as continuing to raise staff awareness of AI. An internal AI policy ensures responsible, ethical, and secinue to operate as intended and remain appropriate over time, including periodic review of performance and unintended impacts. - AI is used to support, not replace, professional judgement, with decisions and advice remaining the responsibility of ACMA staff. - AI use is overseen through established governance arrangements. Where issues or increased risks are identified, outputs are reviewed by staff and escalated, and ACMA can restrict, pause or stop the use of an AI system. - ACMA requires staff to complete mandatory training on the responsible use of AI, with additional guidance and training for staff involved in AI‑enabled systems. ### Future AI use intentions ACMA may explore additional uses of AI where it supports our regulatory, corporate or operational functions and aligns with our legal obligations, risk appetite and public trust responsibilities. ACMA will take advantage of evolutionary whole of government AI initiatives such as GovAI. Any future usage of AI tools while safeguarding the privacy, confidentiality, and integrity of agency datawill be subject to appropriate governance, risk assessment and human oversight. ### Compliance and accountability ACMA’s use of AI is governed through clear accountability and opverations. Under the policy, generative AI tools must not be used unless specifically approved under a robust approval, assurance and evaluation process and staff havsight arrangements: - Our approach is supported by an AI Steering Committee that oversees AI adoption, considers proposed use cases, and assesses associated risks and alignment with Australian Government policy and ethical principles. - We appointed a Chief AI Officer (CAIO) in February 2026 to lead AI adoption across the agency, champion strategic change uandertaken AI training. The AI Steering Committee undertakes regular review of AI projects and solutions that are of medium to high risk to ensure compliance with the policy and AI ethical principles. ### Accountable official The Chief Information and Digital Officer is designated as the accountable official accelerate consistent and collaborative AI capability development across the APS. - ACMA has designated an AI Accountable Official to oversee implementation of the Australian Government Policy for the responsible use of AI in government and ensure appropriate governance, compliance and assurance arrangements are in place. We will not use AI in ways that are inconsistent with our legal obligations, public trust responsibilities, or Australian Government policy. AI will not make final regulatory decisions or enforcement decisions without accountable human judgment. ### AI tTransparency statement This AI transpar ACMA will use AI where it helps us do our work better, safely and lawfully. We will use AI to support our regulatory, corporate and operational functions where it improves efficiency, statement was last reviewed in February 2026. This statement will be reviewed at least annually, or at any timeupports better analysis, or reduces manual work. ACMA will consult with staff and their representatives when considering AI uses that may materially affect work practices, roles or responsibilities. ACMA does not currently deploy AI in direct interactions with the public. We will review and update it at least annually, as our AI use matures or wheren a significant change is made to ourthe agencies or the Government’s approach to AI. ### Contact For questions about this statement or further information on our use of AI, please contact [info@acma.gov.au](mailto:info@acma.gov.au). [ Next up: Compliance and enforcement priorities 2025–26 chevron_right ](https://www.acma.gov.au/compliance-priorities)
    cd8131f
  4. noise -1

    No change to the statement itself: only the download widget label and file-size text around the data strategy PDF link moved or changed.

    read by Claude Opus 5.5
    The words that changed
    # Planning and priorities We set strategic plans and priorities to guide our work and the benefits we aim to deliver. ## Corporate plan Our [corporate plan](https://www.acma.gov.au/publications/2025-08/plan/corporate-plan-2025-26 "Corporate plan 2025–26") is prepared annually and is our primary strategic planning document. View our [annual work program](https://www.acma.gov.au/acma-2025-26-annual-work-program "ACMA 2025–26 annual work program"). ## Compliance priorities Our [compliance priorities](https://www.acma.gov.au/compliance-priorities "Compliance and enforcement priorities 2025–26") outline our key areas of focus for the year. They will guide our efforts to deliver effective compliance and, where necessary, targeted enforcement action. ## Data strategy Our _Data strategy 2024–25_ sets out a 12-month plan to enhance digital, data and analytical capabilities across the ACMA. It aims to improve the discoverability, usability and safety of our data. Data and analytics are critical tools and capabilities that position us for the future. As recognised in our [2024–25 corporate plan](https://www.acma.gov.au/publications/2024-08/plan/corporate-plan-2024-25 "Corporate plan 2024–25"), data and analytics support our evidence-based regulatory analysis and actions, and give greater insight into, and understanding of, Australia’s communications and media sectors. This 2024 _–_ 25 strategy will be updated with a 4-year strategy and governance framework in 2025 _–_ 26. pdf 572.52 KBdownload pdf [ Data strategy 2024–25 [pdf, 572.52 KB] ](https://www.acma.gov.au/sites/default/files/2025-03/Data%20strategy%202025.pdf) ## Statement of intent Our [statement of intent](https://www.acma.gov.au/publications/2023-03/plan/acma-statement-intent "ACMA Statement of Intent") responds to the Australian Government’s [statement of expectations](https://www.infrastructure.gov.au/media-centre/publications/statement-expectations-australian-communications-and-media-authority) outlining its expectations of us. ## Review of the ACMA On 12 June 2015, the then Minister for Communications announced that the Department of Infrastructure, Transport, Regional Development and Communications would conduct a wide-ranging review into the ACMA. On 22 May 2017, the Australian Government released the final report of the ACMA review and its response. For more information about the review, visit the [Department of Infrastructure, Transport, Regional Development and Communications and the Arts](https://www.infrastructure.gov.au/have-your-say/acma-review). ## ACMA AI transparency statement The Digital Transformation Agency's [ _Policy for the responsible use of AI in government_](https://www.digital.gov.au/sites/default/files/documents/2024-08/Policy%20for%20the%20responsible%20use%20of%20AI%20in%20government%20v1.1.pdf) sets out the Australian Government approach to embrace the opportunities of AI and provide for safe and responsible use of AI in the Australian Public Service. The Australian Communications and Media Authority (ACMA) adheres to this policy supporting its principles under the "enable, engage, and evolve" framework. We will be transparent in our internal use of AI technology as we explore, evaluate and adopt AI technology to benefit our work and our stakeholders. Currently, ACMA does not plan to use AI in services that the public may directly interact with or be significantly impacted by. If this changes, we will update this statement to detail our use of AI. ### AI use We may employ AI across various corporate and enabling functions, including software engineering, data analytics and workplace productivity. #### Software engineering ACMA uses AI to assist in software development, debugging and testing when developing digital and data solutions and administering ACMA systems. Some of these systems are accessed by the public, but all systems are tested by humans to ensure they behave as expected before they are released. #### Data analytics ACMA sees benefits in using AI to assist with data and insights in the areas of data management and obtaining insights from data through interrogation and analysis. ACMA’s data and insights can influence our approach to regulation, policy and informing advice to government on legislation. #### Workplace productivity We see the potential benefits in using AI to improve workplace productivity for staff including: - helping answer questions from staff regarding workplace policies and entitlements - summarising documents, emails, instant messages and other content - summarising and transcribing meetings ### Monitoring and governing AI use The ACMA has developed an overarching agency approach to AI and has established an AI Steering Committee to assess the opportunities and risks in using AI within ACMA. The Steering Committee considers AI use case benefits, risks, and guidelines as well as continuing to raise staff awareness of AI. An internal AI policy ensures responsible, ethical, and secure usage of AI tools while safeguarding the privacy, confidentiality, and integrity of agency data and operations. Under the policy, generative AI tools must not be used unless specifically approved under a robust approval, assurance and evaluation process and staff have undertaken AI training. The AI Steering Committee undertakes regular review of AI projects and solutions that are of medium to high risk to ensure compliance with the policy and AI ethical principles. ### Accountable official The Chief Information and Digital Officer is designated as the accountable official. ### AI transparency statement This AI transparency statement was last reviewed in February 2026. This statement will be reviewed at least annually, or at any time where a significant change is made to our or the Government’s approach to AI. [ Next up: Compliance and enforcement priorities 2025–26 chevron_right ](https://www.acma.gov.au/compliance-priorities)
    ac67e10
  5. noise -54

    The statement text is unchanged. Only the scraper's rendering of the data strategy PDF link and the "next up" navigation icon differs.

    read by Claude Opus 5.5
    The words that changed
    # Planning and priorities We set strategic plans and priorities to guide our work and the benefits we aim to deliver. ## Corporate plan Our [corporate plan](https://www.acma.gov.au/publications/2025-08/plan/corporate-plan-2025-26 "Corporate plan 2025–26") is prepared annually and is our primary strategic planning document. View our [annual work program](https://www.acma.gov.au/acma-2025-26-annual-work-program "ACMA 2025–26 annual work program"). ## Compliance priorities Our [compliance priorities](https://www.acma.gov.au/compliance-priorities "Compliance and enforcement priorities 2025–26") outline our key areas of focus for the year. They will guide our efforts to deliver effective compliance and, where necessary, targeted enforcement action. ## Data strategy Our _Data strategy 2024–25_ sets out a 12-month plan to enhance digital, data and analytical capabilities across the ACMA. It aims to improve the discoverability, usability and safety of our data. Data and analytics are critical tools and capabilities that position us for the future. As recognised in our [2024–25 corporate plan](https://www.acma.gov.au/publications/2024-08/plan/corporate-plan-2024-25 "Corporate plan 2024–25"), data and analytics support our evidence-based regulatory analysis and actions, and give greater insight into, and understanding of, Australia’s communications and media sectors. This 2024 _–_ 25 strategy will be updated with a 4-year strategy and governance framework in 2025 _–_ 26. [ ![](https://www.acma.gov.au/themes/custom/acmatheme/images/icons/mime/application-pdf.png) pdf 572.52 KB [ Data strategy 2024–25 [pdf, 572.52 KB] ](https://www.acma.gov.au/sites/default/files/2025-03/Data%20strategy%202025.pdf) ## Statement of intent Our [statement of intent](https://www.acma.gov.au/publications/2023-03/plan/acma-statement-intent "ACMA Statement of Intent") responds to the Australian Government’s [statement of expectations](https://www.infrastructure.gov.au/media-centre/publications/statement-expectations-australian-communications-and-media-authority) outlining its expectations of us. ## Review of the ACMA On 12 June 2015, the then Minister for Communications announced that the Department of Infrastructure, Transport, Regional Development and Communications would conduct a wide-ranging review into the ACMA. On 22 May 2017, the Australian Government released the final report of the ACMA review and its response. For more information about the review, visit the [Department of Infrastructure, Transport, Regional Development and Communications and the Arts](https://www.infrastructure.gov.au/have-your-say/acma-review). ## ACMA AI transparency statement The Digital Transformation Agency's [ _Policy for the responsible use of AI in government_](https://www.digital.gov.au/sites/default/files/documents/2024-08/Policy%20for%20the%20responsible%20use%20of%20AI%20in%20government%20v1.1.pdf) sets out the Australian Government approach to embrace the opportunities of AI and provide for safe and responsible use of AI in the Australian Public Service. The Australian Communications and Media Authority (ACMA) adheres to this policy supporting its principles under the "enable, engage, and evolve" framework. We will be transparent in our internal use of AI technology as we explore, evaluate and adopt AI technology to benefit our work and our stakeholders. Currently, ACMA does not plan to use AI in services that the public may directly interact with or be significantly impacted by. If this changes, we will update this statement to detail our use of AI. ### AI use We may employ AI across various corporate and enabling functions, including software engineering, data analytics and workplace productivity. #### Software engineering ACMA uses AI to assist in software development, debugging and testing when developing digital and data solutions and administering ACMA systems. Some of these systems are accessed by the public, but all systems are tested by humans to ensure they behave as expected before they are released. #### Data analytics ACMA sees benefits in using AI to assist with data and insights in the areas of data management and obtaining insights from data through interrogation and analysis. ACMA’s data and insights can influence our approach to regulation, policy and informing advice to government on legislation. #### Workplace productivity We see the potential benefits in using AI to improve workplace productivity for staff including: - helping answer questions from staff regarding workplace policies and entitlements - summarising documents, emails, instant messages and other content - summarising and transcribing meetings ### Monitoring and governing AI use The ACMA has developed an overarching agency approach to AI and has established an AI Steering Committee to assess the opportunities and risks in using AI within ACMA. The Steering Committee considers AI use case benefits, risks, and guidelines as well as continuing to raise staff awareness of AI. An internal AI policy ensures responsible, ethical, and secure usage of AI tools while safeguarding the privacy, confidentiality, and integrity of agency data and operations. Under the policy, generative AI tools must not be used unless specifically approved under a robust approval, assurance and evaluation process and staff have undertaken AI training. The AI Steering Committee undertakes regular review of AI projects and solutions that are of medium to high risk to ensure compliance with the policy and AI ethical principles. ### Accountable official The Chief Information and Digital Officer is designated as the accountable official. ### AI transparency statement This AI transparency statement was last reviewed in February 2026. This statement will be reviewed at least annually, or at any time where a significant change is made to our or the Government’s approach to AI. [ Next up: Compliance and enforcement priorities 2025–26 chevron_right ](https://www.acma.gov.au/compliance-priorities)
    2d851e4
  6. substantive +38

    Says the statement was last reviewed in February 2026 and widens its review triggers to include changes in the Government's approach to AI, with review at least annually.

    read by Claude Opus 5.5
    The words that changed
    # Planning and priorities We set strategic plans and priorities to guide our work and the benefits we aim to deliver. ## Corporate plan Our [corporate plan](https://www.acma.gov.au/publications/2025-08/plan/corporate-plan-2025-26 "Corporate plan 2025–26") is prepared annually and is our primary strategic planning document. View our [annual work program](https://www.acma.gov.au/acma-2025-26-annual-work-program "ACMA 2025–26 annual work program"). ## Compliance priorities Our [compliance priorities](https://www.acma.gov.au/compliance-priorities "Compliance and enforcement priorities 2025–26") outline our key areas of focus for the year. They will guide our efforts to deliver effective compliance and, where necessary, targeted enforcement action. ## Data strategy Our _Data strategy 2024–25_ sets out a 12-month plan to enhance digital, data and analytical capabilities across the ACMA. It aims to improve the discoverability, usability and safety of our data. Data and analytics are critical tools and capabilities that position us for the future. As recognised in our [2024–25 corporate plan](https://www.acma.gov.au/publications/2024-08/plan/corporate-plan-2024-25 "Corporate plan 2024–25"), data and analytics support our evidence-based regulatory analysis and actions, and give greater insight into, and understanding of, Australia’s communications and media sectors. This 2024 _–_ 25 strategy will be updated with a 4-year strategy and governance framework in 2025 _–_ 26. [ ![](https://www.acma.gov.au/themes/custom/acmatheme/images/icons/mime/application-pdf.png) 572.52 KB Data strategy 2024–25 ](https://www.acma.gov.au/sites/default/files/2025-03/Data%20strategy%202025.pdf) ## Statement of intent Our [statement of intent](https://www.acma.gov.au/publications/2023-03/plan/acma-statement-intent "ACMA Statement of Intent") responds to the Australian Government’s [statement of expectations](https://www.infrastructure.gov.au/media-centre/publications/statement-expectations-australian-communications-and-media-authority) outlining its expectations of us. ## Review of the ACMA On 12 June 2015, the then Minister for Communications announced that the Department of Infrastructure, Transport, Regional Development and Communications would conduct a wide-ranging review into the ACMA. On 22 May 2017, the Australian Government released the final report of the ACMA review and its response. For more information about the review, visit the [Department of Infrastructure, Transport, Regional Development and Communications and the Arts](https://www.infrastructure.gov.au/have-your-say/acma-review). ## ACMA AI transparency statement The Digital Transformation Agency's [ _Policy for the responsible use of AI in government_](https://www.digital.gov.au/sites/default/files/documents/2024-08/Policy%20for%20the%20responsible%20use%20of%20AI%20in%20government%20v1.1.pdf) sets out the Australian Government approach to embrace the opportunities of AI and provide for safe and responsible use of AI in the Australian Public Service. The Australian Communications and Media Authority (ACMA) adheres to this policy supporting its principles under the "enable, engage, and evolve" framework. We will be transparent in our internal use of AI technology as we explore, evaluate and adopt AI technology to benefit our work and our stakeholders. Currently, ACMA does not plan to use AI in services that the public may directly interact with or be significantly impacted by. If this changes, we will update this statement to detail our use of AI. ### AI use We may employ AI across various corporate and enabling functions, including software engineering, data analytics and workplace productivity. #### Software engineering ACMA uses AI to assist in software development, debugging and testing when developing digital and data solutions and administering ACMA systems. Some of these systems are accessed by the public, but all systems are tested by humans to ensure they behave as expected before they are released. #### Data analytics ACMA sees benefits in using AI to assist with data and insights in the areas of data management and obtaining insights from data through interrogation and analysis. ACMA’s data and insights can influence our approach to regulation, policy and informing advice to government on legislation. #### Workplace productivity We see the potential benefits in using AI to improve workplace productivity for staff including: - helping answer questions from staff regarding workplace policies and entitlements - summarising documents, emails, instant messages and other content - summarising and transcribing meetings ### Monitoring and governing AI use The ACMA has developed an overarching agency approach to AI and has established an AI Steering Committee to assess the opportunities and risks in using AI within ACMA. The Steering Committee considers AI use case benefits, risks, and guidelines as well as continuing to raise staff awareness of AI. An internal AI policy ensures responsible, ethical, and secure usage of AI tools while safeguarding the privacy, confidentiality, and integrity of agency data and operations. Under the policy, generative AI tools must not be used unless specifically approved under a robust approval, assurance and evaluation process and staff have undertaken AI training. The AI Steering Committee undertakes regular review of AI projects and solutions that are of medium to high risk to ensure compliance with the policy and AI ethical principles. ### Accountable official The Chief Information and Digital Officer is designated as the accountable official. ### AI transparency statement This AI transparency statement was first publishlast reviewed in February 20256. This statement will be reviewed at least annually, or when anyat any time where a significant change is made to our or the Government’s approach to AI. [ Next up: Compliance and enforcement priorities 2025–26 ](https://www.acma.gov.au/compliance-priorities)
    dee204e
  7. noise -4
    The words that changed
    # Planning and priorities We set strategic plans and priorities to guide our work and the benefits we aim to deliver. ## Corporate plan Our [corporate plan](https://www.acma.gov.au/publications/2025-08/plan/corporate-plan-2025-26 "Corporate plan 2025–26") is prepared annually and is our primary strategic planning document. View our [annual work program](https://www.acma.gov.au/acma-2025-26-annual-work-program "ACMA 2025–26 annual work program"). ## Compliance priorities Our [compliance priorities](https://www.acma.gov.au/compliance-priorities "Compliance and enforcement priorities 2025–26") outline our key areas of focus for the year. They will guide our efforts to deliver effective compliance and, where necessary, targeted enforcement action. ## Data strategy Our _Data strategy 2024–25_ sets out a 12-month plan to enhance digital, data and analytical capabilities across the ACMA. It aims to improve the discoverability, usability and safety of our data. Data and analytics are critical tools and capabilities that position us for the future. As recognised in our [2024–25 corporate plan](https://www.acma.gov.au/publications/2024-08/plan/corporate-plan-2024-25 "Corporate plan 2024–25"), data and analytics support our evidence-based regulatory analysis and actions, and give greater insight into, and understanding of, Australia’s communications and media sectors. This 2024 _–_ 25 strategy will be updated with a 4-year strategy and governance framework in 2025 _–_ 26. [ ![](https://www.acma.gov.au/themes/custom/acmatheme/images/icons/mime/application-pdf.png) 572.52 KB Data strategy 2024–25 ](https://www.acma.gov.au/sites/default/files/2025-03/Data%20strategy%202025.pdf) ## Statement of intent Our [statement of intent](https://www.acma.gov.au/publications/2023-03/plan/acma-statement-intent "ACMA Statement of Intent") responds to the Australian Government’s [statement of expectations](https://www.infrastructure.gov.au/media-centre/publications/statement-expectations-australian-communications-and-media-authority) outlining its expectations of us. ## Review of the ACMA On 12 June 2015, the then Minister for Communications announced that the Department of Infrastructure, Transport, Regional Development and Communications would conduct a wide-ranging review into the ACMA. On 22 May 2017, the Australian Government released the final report of the ACMA review and its response. For more information about the review, visit the [Department of Infrastructure, Transport, Regional Development and Communications and the Arts](https://www.infrastructure.gov.au/have-your-say/acma-review). ## ACMA AI transparency statement The Digital Transformation Agency's [ _Policy for the responsible use of AI in government_](https://www.digital.gov.au/sites/default/files/documents/2024-08/Policy%20for%20the%20responsible%20use%20of%20AI%20in%20government%20v1.1.pdf) sets out the Australian Government approach to embrace the opportunities of AI and provide for safe and responsible use of AI in the Australian Public Service. The Australian Communications and Media Authority (ACMA) adheres to this policy supporting its principles under the "enable, engage, and evolve" framework. We will be transparent in our internal use of AI technology as we explore, evaluate and adopt AI technology to benefit our work and our stakeholders. Currently, ACMA does not plan to use AI in services that the public may directly interact with or be significantly impacted by. If this changes, we will update this statement to detail our use of AI. ### AI use We may employ AI across various corporate and enabling functions, including software engineering, data analytics and workplace productivity. #### Software engineering ACMA uses AI to assist in software development, debugging and testing when developing digital and data solutions and administering ACMA systems. Some of these systems are accessed by the public, but all systems are tested by humans to ensure they behave as expected before they are released. #### Data analytics ACMA sees benefits in using AI to assist with data and insights in the areas of data management and obtaining insights from data through interrogation and analysis. ACMA’s data and insights can influence our approach to regulation, policy and informing advice to government on legislation. #### Workplace productivity We see the potential benefits in using AI to improve workplace productivity for staff including: - helping answer questions from staff regarding workplace policies and entitlements - summarising documents, emails, instant messages and other content - summarising and transcribing meetings ### Monitoring and governing AI use The ACMA has developed an overarching agency approach to AI and has established an AI Steering Committee to assess the opportunities and risks in using AI within ACMA. The Steering Committee considers AI use case benefits, risks, and guidelines as well as continuing to raise staff awareness of AI. An internal AI policy ensures responsible, ethical, and secure usage of AI tools while safeguarding the privacy, confidentiality, and integrity of agency data and operations. Under the policy, generative AI tools must not be used unless specifically approved under a robust approval, assurance and evaluation process and staff have undertaken AI training. The AI Steering Committee undertakes regular review of AI projects and solutions that are of medium to high risk to ensure compliance with the policy and AI ethical principles. ### Accountable official The Chief Information and Digital Officer is designated as the accountable official. ### AI transparency statement This AI transparency statement was first published in February 2025. This statement will be reviewed annually, or when any significant change is made to our approach to AI. [ Next up: Compliance and enforcement priorities 2025–26 \_\_](https://www.acma.gov.au/compliance-priorities)
    aa4fa18
  8. first tracked +5974

    First tracked version.

    b7e2a3d