AIHW

Australian Institute of Health and Welfare

Tracked since 3 Dec 2025 · 1 change of substance across 4 versions · last changed 26 Feb 2026

What’s changed

How to read this
  1. First tracked.

  2. substantive Changes its review of the statement from twice a year to once a year, which pushes the next scheduled review from 20 August 2025 to 13 March 2026.

    read by Claude Opus 5.5
    • 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 : Removes bold formatting from headings, replaces ampersands with "and" and standardises dashes, leaving the content of the statement unchanged.

What the statement says

How to read this

AIHW says it uses machine learning for data analysis, predictive modelling, data linkage and quality assurance, and is trialling generative AI internally for content generation and summarisation, all subject to human review. Oversight comes from an AI Accountable Official, a dedicated AI/ML team, evolving risk assessment, existing privacy and data governance policies, and staff training. read by Claude Opus 5.5

What it says AI is used for

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

Public-facing AI: yes, with human review

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

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
Senior executive official (AI Accountable 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 asks AI Plan

Chief AI Officer
not mentioned

Dates as of 12 Oct 2026

Review schedule
annually and when the approach changes
Says it was last updated
13 Mar 2025
Last change we saw
26 Feb 2026
Updated since policy v2.0
yes
Annual review
stated date over a year ago

Commitments

  • will not Does not use AI for service delivery decisions
  • will not Does not use AI in any applications without human oversight
  • human oversight All AI-generated outputs are subject to human review for accuracy and accountability
  • will Generative AI use follows strict security, privacy and ethical guidelines
  • will Statement reviewed annually or when significant changes occur; next review 13 March 2026

The statement

How to read this

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 agency NDISQSC

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 – aiao@aihw.gov.au
(Template language)

Statement text © Australian Institute of Health and Welfare. 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 -1

    The AI Accountable Official's contact email (aiao@aihw.gov.au) now appears in full; the previous capture had only the "[email protected]" placeholder from the site's email obfuscation.

    read by Claude Opus 5.5
    The words that changed
    # AI transparency statement ## 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 – 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 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](https://www.legislation.gov.au/Series/C2004A03712)_ (Privacy Act), including the [Australian Privacy Principles](https://www.oaic.gov.au/privacy-law/privacy-act/australian-privacy-principles) (APPs) - [_Australian Institute of Health and Welfare Act 1987_](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]aiao@aihw.gov.au Feedback
    663850e
  2. cosmetic -14

    Removes bold formatting from headings, replaces ampersands with "and" and standardises dashes, leaving the content of the statement unchanged.

    read by Claude Opus 5.5
    The words that changed
    # AI transparency statement ## **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](https://www.legislation.gov.au/Series/C2004A03712)_ (Privacy Act), including the [Australian Privacy Principles](https://www.oaic.gov.au/privacy-law/privacy-act/australian-privacy-principles) (APPs) - [_Australian Institute of Health and Welfare Act 1987_](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
    88585d7
  3. substantive -7

    Changes its review of the statement from twice a year to once a year, which pushes the next scheduled review from 20 August 2025 to 13 March 2026.

    read by Claude Opus 5.5
    The words that changed
    # AI transparency statement ## **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](https://www.legislation.gov.au/Series/C2004A03712)_ (Privacy Act), including the [Australian Privacy Principles](https://www.oaic.gov.au/privacy-law/privacy-act/australian-privacy-principles) (APPs) - [_Australian Institute of Health and Welfare Act 1987_](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] Feedback
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  4. first tracked +4394

    First tracked version.

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