AIHW

Australian Institute of Health and Welfare

Tracked since 3 Dec 2025 · 1 change of substance across 5 captures · last changed 26 Feb 2026

The story so far

How to read this
  1. First captured by the tracker.

  2. substantive Halves its review cadence, moving from twice-yearly to annual reviews and pushing the next scheduled review from August 2025 to March 2026.

    read by Claude Opus 5
    • Review cadence changed from twice-annually to annually
    • Next scheduled review moved from 20 August 2025 to 13 March 2026
    • Changed: Review cadence: other → annual and on change
    Show the words that changed ↓
  3. One cosmetic edit with no change of substance: Tidies formatting only: unbolds headings, swaps ampersands for "and", standardises dashes and strips "external site" wording from links.

What the statement says

How to read this

AIHW says it uses machine learning for data analysis, insights and data quality/linkage work, and is trialling generative AI for internal content generation and summarisation. It says all AI outputs get human review, no AI is used for service delivery decisions, and an AI Accountable Official oversees governance. read by Claude Opus 5

What it says AI is used for

  • Analytics for insights
  • Workplace productivity
  • Scientific
  • Corporate and enabling

Public-facing AI: none

Safeguards named: risk assessment, human review of outputs, staff training, privacy or security controls, an acceptable-use policy

Against the Standard 8/8

  • Present:Intentions behind AI use
  • Present:Use classified by DTA usage pattern or domain
  • Present:Public-facing use addressed
  • Present:Monitoring and protection measures
  • Present:Compliance with the policy
  • Present:Compliance with legislation
  • Present:Date last updated
  • Present:Public contact

What the policy requiresPolicy v2.0

Accountable official
AI Accountable Official (senior executive official)
Strategic position on AI
not mentioned
AI use-case register
not mentioned
Staff training
available
Policy version referenced
unspecified version

What the AI Plan asksAI Plan

Chief AI Officer
not mentioned

Currency as of 29 Aug 2026

Review cadence
annually and when the approach changes
Says it was last updated
13 Mar 2025
Last change we observed
26 Feb 2026
Updated since policy 2.0
yes
Annual review
overdue by its own date

Commitments

  • will notDoes not use AI for service delivery decisions or any applications without human oversight
  • human oversightAll AI-generated outputs subject to human review for accuracy, accountability and ethical compliance
  • willStatement reviewed annually or when significant changes occur
  • willGenerative AI use follows strict security, privacy and ethical guidelines

The statement

How to read this

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The Australian Institute of Health and Welfare (AIHW) is committed to the safe, responsible, and transparent use of artificial intelligence (AI) in line with the Digital Transformation Agency’s (DTA) Policy for the Responsible Use of AI in Government. (Template language)

AIHW provides trusted health and welfare data to support evidence-based decision-making for the benefit of all Australians. Our strategic goal of being an ‘innovative producer of datasets and analysis’ drives our approach to AI, ensuring it enhances the quality, accessibility, and reliability of our work.

The AIHW has adapted the Organisation for Economic Co-operation and Development (OECD) definition of AI to the Institutes' work and considers that:

AI refers to machine-based systems that analyse data, generate insights, and support decision-making in health and welfare contexts. These systems infer patterns from structured and unstructured data to produce outputs such as predictions, classifications, recommendations, or automation of routine tasks, with varying levels of human oversight.Also appears in 1 other agencyNDISQSC

How AI is used at the AIHW

AIHW uses AI, including machine learning (ML), to enhance our data analysis, improve operational efficiency and streamline internal processes. AI is applied as a tool to assist staff in the following areas:

  • Data analysis and insights – ML helps identify patterns, generate insights, and support predictive modelling for health and welfare indicators.
  • Data processing and quality assurance – ML is used to improve data linkage, protect against privacy breaches, assess data quality, and validate datasets.
  • Exploring generative AI – AIHW is trialling generative AI tools for internal applications such as content generation and summarisation (with human oversight). The use of generative AI follows strict security, privacy, and ethical guidelines.

AIHW does not use AI for service delivery decisions or any applications without human oversight. All AI-generated outputs are subject to human review to ensure accuracy, accountability, and compliance with ethical standards.

Governance, risk, and accountability

AIHW ensures AI adoption is ethical, transparent, and accountable through robust governance mechanisms, including:

  • AI Accountable Official – an AIHW senior executive official responsible for AI oversight and monitoring compliance with government policies. (Template language)
  • AI support and advice – AIHW has a dedicated artificial intelligence and machine learning team with an advisor for expert advice and helpdesk support.
  • AI risk assessment – AIHW is continuing to evolve its processes for evaluating risks associated with AI use as developments occur and new tools are brought forward.
  • AI guidelines and best practices – AIHW policies for managing privacy, security, ethics, and responsible data use cover the use of AI.
  • Data privacy and confidentiality – AI use must align with the AIHW’s overarching data governance framework, ensuring compliance with legislation, regulations and policies.
  • Training and capability building – AIHW provides staff with training on AI fundamentals, safe usage, and ethical considerations through internal and external learning programs.

Adherence to Government policies and regulations

AIHW complies with all applicable legislation, regulations, frameworks, and policies, including:

This AI transparency statement is reviewed annually or when significant changes occur. The latest review was conducted on 13 March 2025, with the next scheduled review on 13 March 2026.

For questions or feedback regarding AIHW’s AI transparency statement, please contact:
AI Accountable Official – [email protected]
(Template language)

Statement text © Australian Institute of Health and Welfare, reproduced for transparency tracking (most agency content is CC BY 4.0 — check the original for specifics).

Every revision

Every capture the daily scrape recorded that differed from the last, including edits with no change of substance. Pick a dot to view the statement as it stood at that capture.

  1. cosmetic-121

    Tidies formatting only: unbolds headings, swaps ampersands for "and", standardises dashes and strips "external site" wording from links.

    read by Claude Opus 5
    View diff
    # AI transparency statement [ Share via Facebook ](https://www.facebook.com/sharer/sharer.php?u=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) [ Share via Twitter ](https://twitter.com/intent/tweet?text=AI%20transparency%20statement&url=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) [ Share via Linkedin ](https://www.linkedin.com/shareArticle?mini=true&title=AI%20transparency%20statement&url=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) Share via email ## **Introduction** The Australian Institute of Health and Welfare (AIHW) is committed to the safe, responsible, and transparent use of artificial intelligence (AI) in line with the Digital Transformation Agency’s (DTA) [Policy for the Responsible Use of AI in Government](https://www.digital.gov.au/policy/ai/policy). AIHW provides trusted health and welfare data to support evidence-based decision-making for the benefit of all Australians. Our strategic goal of being an ‘innovative producer of datasets and analysis’ drives our approach to AI, ensuring it enhances the quality, accessibility, and reliability of our work. The AIHW has adapted the Organisation for Economic Co-operation and Development (OECD) definition of AI to the Institutes' work and considers that: AI refers to machine-based systems that analyse data, generate insights, and support decision-making in health and welfare contexts. These systems infer patterns from structured and unstructured data to produce outputs such as predictions, classifications, recommendations, or automation of routine tasks, with varying levels of human oversight. ## **How AI is used at the AIHW** AIHW uses AI, including machine learning (ML), to enhance our data analysis, improve operational efficiency and streamline internal processes. AI is applied as a tool to assist staff in the following areas: - Data analysis &and insights - ML helps identify patterns, generate insights, and support predictive modelling for health and welfare indicators. - Data processing &and quality assurance - ML is used to improve data linkage, protect against privacy breaches, assess data quality, and validate datasets. - Exploring generative AI - AIHW is trialling generative AI tools for internal applications such as content generation and summarisation (with human oversight). The use of generative AI follows strict security, privacy, and ethical guidelines. AIHW does not use AI for service delivery decisions or any applications without human oversight. All AI-generated outputs are subject to human review to ensure accuracy, accountability, and compliance with ethical standards. ## **Governance, risk, and accountability** AIHW ensures AI adoption is ethical, transparent, and accountable through robust governance mechanisms, including: - AI Accountable Official – Aan AIHW senior executive official responsible for AI oversight and monitoring compliance with government policies. - AI support and advice - AIHW has a dedicated artificial intelligence and machine learning team with an advisor for expert advice and helpdesk support. - AI risk assessment – AIHW is continuing to evolve its processes for evaluating risks associated with AI use as developments occur and new tools are brought forward. - AI guidelines &and best practices – AIHW policies for managing privacy, security, ethics, and responsible data use cover the use of AI. - Data privacy &and confidentiality – AI use must align with the AIHW’s overarching data governance framework, ensuring compliance with legislation, regulations and policies. - Training &and capability building – AIHW provides staff with training on AI fundamentals, safe usage, and ethical considerations through internal and external learning programs. ## **Adherence to Government policies and regulations** AIHW complies with all applicable legislation, regulations, frameworks, and policies, including: - [Digital Transformation Agency’s (DTA) Policy for the Responsible Use of AI in Government](https://www.digital.gov.au/policy/ai/policy) - the _[Privacy Act 1988 - external site opens in new window](https://www.legislation.gov.au/Series/C2004A03712)_ (Privacy Act), including the [Australian Privacy Principles- external site opens in new window](https://www.oaic.gov.au/privacy-law/privacy-act/australian-privacy-principles) (APPs) - [_Australian Institute of Health and Welfare Act 1987_ - external site opens in new window](https://www.legislation.gov.au/Details/C2018C00474) (AIHW Act) - AIHW Data Governance, and Security Frameworks - Whole-of-Government AI and Cybersecurity Guidelines ## **Review and updates** This AI transparency statement is reviewed annually or when significant changes occur. The latest review was conducted on 13 March 2025, with the next scheduled review on 13 March 2026. ## **Contact** For questions or feedback regarding AIHW’s AI transparency statement, please contact:\ AI Accountable Official – [email protected] Feedback
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    Only a "Go back to top" page link disappeared from the capture; the statement's content is unchanged.

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    # AI transparency statement [ Share via Facebook ](https://www.facebook.com/sharer/sharer.php?u=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) [ Share via Twitter ](https://twitter.com/intent/tweet?text=AI%20transparency%20statement&url=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) [ Share via Linkedin ](https://www.linkedin.com/shareArticle?mini=true&title=AI%20transparency%20statement&url=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) Share via email ## **Introduction** The Australian Institute of Health and Welfare (AIHW) is committed to the safe, responsible, and transparent use of artificial intelligence (AI) in line with the Digital Transformation Agency’s (DTA) [Policy for the Responsible Use of AI in Government](https://www.digital.gov.au/policy/ai/policy). AIHW provides trusted health and welfare data to support evidence-based decision-making for the benefit of all Australians. Our strategic goal of being an ‘innovative producer of datasets and analysis’ drives our approach to AI, ensuring it enhances the quality, accessibility, and reliability of our work. The AIHW has adapted the Organisation for Economic Co-operation and Development (OECD) definition of AI to the Institutes' work and considers that: AI refers to machine-based systems that analyse data, generate insights, and support decision-making in health and welfare contexts. These systems infer patterns from structured and unstructured data to produce outputs such as predictions, classifications, recommendations, or automation of routine tasks, with varying levels of human oversight. ## **How AI is used at the AIHW** AIHW uses AI, including machine learning (ML), to enhance our data analysis, improve operational efficiency and streamline internal processes. AI is applied as a tool to assist staff in the following areas: - Data analysis & insights - ML helps identify patterns, generate insights, and support predictive modelling for health and welfare indicators. - Data processing & quality assurance - ML is used to improve data linkage, protect against privacy breaches, assess data quality, and validate datasets. - Exploring generative AI - AIHW is trialling generative AI tools for internal applications such as content generation and summarisation (with human oversight). The use of generative AI follows strict security, privacy, and ethical guidelines. AIHW does not use AI for service delivery decisions or any applications without human oversight. All AI-generated outputs are subject to human review to ensure accuracy, accountability, and compliance with ethical standards. ## **Governance, risk, and accountability** AIHW ensures AI adoption is ethical, transparent, and accountable through robust governance mechanisms, including: - AI Accountable Official – An AIHW senior executive official responsible for AI oversight and monitoring compliance with government policies. - AI support and advice - AIHW has a dedicated artificial intelligence and machine learning team with an advisor for expert advice and helpdesk support. - AI risk assessment – AIHW is continuing to evolve its processes for evaluating risks associated with AI use as developments occur and new tools are brought forward. - AI guidelines & best practices – AIHW policies for managing privacy, security, ethics, and responsible data use cover the use of AI. - Data privacy & confidentiality – AI use must align with the AIHW’s overarching data governance framework, ensuring compliance with legislation, regulations and policies. - Training & capability building – AIHW provides staff with training on AI fundamentals, safe usage, and ethical considerations through internal and external learning programs. ## **Adherence to Government policies and regulations** AIHW complies with all applicable legislation, regulations, frameworks, and policies, including: - [Digital Transformation Agency’s (DTA) Policy for the Responsible Use of AI in Government](https://www.digital.gov.au/policy/ai/policy) - the _[Privacy Act 1988 - external site opens in new window](https://www.legislation.gov.au/Series/C2004A03712)_ (Privacy Act), including the [Australian Privacy Principles- external site opens in new window](https://www.oaic.gov.au/privacy-law/privacy-act/australian-privacy-principles) (APPs) - [_Australian Institute of Health and Welfare Act 1987_ - external site opens in new window](https://www.legislation.gov.au/Details/C2018C00474) (AIHW Act) - AIHW Data Governance, and Security Frameworks - Whole-of-Government AI and Cybersecurity Guidelines ## **Review and updates** This AI transparency statement is reviewed annually or when significant changes occur. The latest review was conducted on 13 March 2025, with the next scheduled review on 13 March 2026. ## **Contact** For questions or feedback regarding AIHW’s AI transparency statement, please contact:\ AI Accountable Official – [email protected] Go back to top Feedback
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    No change by the agency; only page sharing widget text was captured differently.

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    # AI transparency statement Print this page Click to open the social media sharing options Share [ Share via Facebook ](https://www.facebook.com/sharer/sharer.php?u=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) [ Share via Twitter ](https://twitter.com/intent/tweet?text=AI%20transparency%20statement&url=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) [ Share via Linkedin ](https://www.linkedin.com/shareArticle?mini=true&title=AI%20transparency%20statement&url=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) Share via email ## **Introduction** The Australian Institute of Health and Welfare (AIHW) is committed to the safe, responsible, and transparent use of artificial intelligence (AI) in line with the Digital Transformation Agency’s (DTA) [Policy for the Responsible Use of AI in Government](https://www.digital.gov.au/policy/ai/policy). AIHW provides trusted health and welfare data to support evidence-based decision-making for the benefit of all Australians. Our strategic goal of being an ‘innovative producer of datasets and analysis’ drives our approach to AI, ensuring it enhances the quality, accessibility, and reliability of our work. The AIHW has adapted the Organisation for Economic Co-operation and Development (OECD) definition of AI to the Institutes' work and considers that: AI refers to machine-based systems that analyse data, generate insights, and support decision-making in health and welfare contexts. These systems infer patterns from structured and unstructured data to produce outputs such as predictions, classifications, recommendations, or automation of routine tasks, with varying levels of human oversight. ## **How AI is used at the AIHW** AIHW uses AI, including machine learning (ML), to enhance our data analysis, improve operational efficiency and streamline internal processes. AI is applied as a tool to assist staff in the following areas: - Data analysis & insights - ML helps identify patterns, generate insights, and support predictive modelling for health and welfare indicators. - Data processing & quality assurance - ML is used to improve data linkage, protect against privacy breaches, assess data quality, and validate datasets. - Exploring generative AI - AIHW is trialling generative AI tools for internal applications such as content generation and summarisation (with human oversight). The use of generative AI follows strict security, privacy, and ethical guidelines. AIHW does not use AI for service delivery decisions or any applications without human oversight. All AI-generated outputs are subject to human review to ensure accuracy, accountability, and compliance with ethical standards. ## **Governance, risk, and accountability** AIHW ensures AI adoption is ethical, transparent, and accountable through robust governance mechanisms, including: - AI Accountable Official – An AIHW senior executive official responsible for AI oversight and monitoring compliance with government policies. - AI support and advice - AIHW has a dedicated artificial intelligence and machine learning team with an advisor for expert advice and helpdesk support. - AI risk assessment – AIHW is continuing to evolve its processes for evaluating risks associated with AI use as developments occur and new tools are brought forward. - AI guidelines & best practices – AIHW policies for managing privacy, security, ethics, and responsible data use cover the use of AI. - Data privacy & confidentiality – AI use must align with the AIHW’s overarching data governance framework, ensuring compliance with legislation, regulations and policies. - Training & capability building – AIHW provides staff with training on AI fundamentals, safe usage, and ethical considerations through internal and external learning programs. ## **Adherence to Government policies and regulations** AIHW complies with all applicable legislation, regulations, frameworks, and policies, including: - [Digital Transformation Agency’s (DTA) Policy for the Responsible Use of AI in Government](https://www.digital.gov.au/policy/ai/policy) - the _[Privacy Act 1988 - external site opens in new window](https://www.legislation.gov.au/Series/C2004A03712)_ (Privacy Act), including the [Australian Privacy Principles- external site opens in new window](https://www.oaic.gov.au/privacy-law/privacy-act/australian-privacy-principles) (APPs) - [_Australian Institute of Health and Welfare Act 1987_ - external site opens in new window](https://www.legislation.gov.au/Details/C2018C00474) (AIHW Act) - AIHW Data Governance, and Security Frameworks - Whole-of-Government AI and Cybersecurity Guidelines ## **Review and updates** This AI transparency statement is reviewed annually or when significant changes occur. The latest review was conducted on 13 March 2025, with the next scheduled review on 13 March 2026. ## **Contact** For questions or feedback regarding AIHW’s AI transparency statement, please contact:\ AI Accountable Official – [email protected] Go back to top Feedback
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  4. substantive-7

    Halves its review cadence, moving from twice-yearly to annual reviews and pushing the next scheduled review from August 2025 to March 2026.

    read by Claude Opus 5
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    # AI transparency statement Print this page Click to open the social media sharing options Share [ Share via Facebook ](https://www.facebook.com/sharer/sharer.php?u=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) [ Share via Twitter ](https://twitter.com/intent/tweet?text=AI%20transparency%20statement&url=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) [ Share via Linkedin ](https://www.linkedin.com/shareArticle?mini=true&title=AI%20transparency%20statement&url=https://www.aihw.gov.au/about-us/our-governance/ai-transparency-statement) Share via email ## **Introduction** The Australian Institute of Health and Welfare (AIHW) is committed to the safe, responsible, and transparent use of artificial intelligence (AI) in line with the Digital Transformation Agency’s (DTA) [Policy for the Responsible Use of AI in Government](https://www.digital.gov.au/policy/ai/policy). AIHW provides trusted health and welfare data to support evidence-based decision-making for the benefit of all Australians. Our strategic goal of being an ‘innovative producer of datasets and analysis’ drives our approach to AI, ensuring it enhances the quality, accessibility, and reliability of our work. The AIHW has adapted the Organisation for Economic Co-operation and Development (OECD) definition of AI to the Institutes' work and considers that: AI refers to machine-based systems that analyse data, generate insights, and support decision-making in health and welfare contexts. These systems infer patterns from structured and unstructured data to produce outputs such as predictions, classifications, recommendations, or automation of routine tasks, with varying levels of human oversight. ## **How AI is used at the AIHW** AIHW uses AI, including machine learning (ML), to enhance our data analysis, improve operational efficiency and streamline internal processes. AI is applied as a tool to assist staff in the following areas: - Data analysis & insights - ML helps identify patterns, generate insights, and support predictive modelling for health and welfare indicators. - Data processing & quality assurance - ML is used to improve data linkage, protect against privacy breaches, assess data quality, and validate datasets. - Exploring generative AI - AIHW is trialling generative AI tools for internal applications such as content generation and summarisation (with human oversight). The use of generative AI follows strict security, privacy, and ethical guidelines. AIHW does not use AI for service delivery decisions or any applications without human oversight. All AI-generated outputs are subject to human review to ensure accuracy, accountability, and compliance with ethical standards. ## **Governance, risk, and accountability** AIHW ensures AI adoption is ethical, transparent, and accountable through robust governance mechanisms, including: - AI Accountable Official – An AIHW senior executive official responsible for AI oversight and monitoring compliance with government policies. - AI support and advice - AIHW has a dedicated artificial intelligence and machine learning team with an advisor for expert advice and helpdesk support. - AI risk assessment – AIHW is continuing to evolve its processes for evaluating risks associated with AI use as developments occur and new tools are brought forward. - AI guidelines & best practices – AIHW policies for managing privacy, security, ethics, and responsible data use cover the use of AI. - Data privacy & confidentiality – AI use must align with the AIHW’s overarching data governance framework, ensuring compliance with legislation, regulations and policies. - Training & capability building – AIHW provides staff with training on AI fundamentals, safe usage, and ethical considerations through internal and external learning programs. ## **Adherence to Government policies and regulations** AIHW complies with all applicable legislation, regulations, frameworks, and policies, including: - [Digital Transformation Agency’s (DTA) Policy for the Responsible Use of AI in Government](https://www.digital.gov.au/policy/ai/policy) - the _[Privacy Act 1988 - external site opens in new window](https://www.legislation.gov.au/Series/C2004A03712)_ (Privacy Act), including the [Australian Privacy Principles- external site opens in new window](https://www.oaic.gov.au/privacy-law/privacy-act/australian-privacy-principles) (APPs) - [_Australian Institute of Health and Welfare Act 1987_ - external site opens in new window](https://www.legislation.gov.au/Details/C2018C00474) (AIHW Act) - AIHW Data Governance, and Security Frameworks - Whole-of-Government AI and Cybersecurity Guidelines ## **Review and updates** This AI transparency statement is reviewed twice-annually or when significant changes occur. The latest review was conducted on 13 March 2025, with the next scheduled review on 20 August13 March 20256. ## **Contact** For questions or feedback regarding AIHW’s AI transparency statement, please contact:\ AI Accountable Official – [email protected] Go back to top Feedback
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  5. first tracked+5102

    First tracked revision.

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