ASIC

Australian Securities and Investments Commission

View the original ↗ redirects to www.asic.gov.au

Tracked since 11 Nov 2025 · 2 changes of substance across 4 versions · last changed 5 Sept 2026

What’s changed

How to read this
  1. Tracking begins. The statement says it was first published 28 Feb 2025.

  2. substantive ASIC reviewed its statement for the December 2025 policy: it names its accountable official as Chief AI Officer, adds a use case register and impact assessment, and plans mandatory staff training.

    read by Claude Opus 5.5
    • Senior Executive Leader, Data, Analytics and AI named as chief AI officer under the APS AI Plan 2025, as well as accountable official
    • Internal AI use case register added, capturing the Standard's minimum fields, with a named owner for each use case
    • AI use case assessment covers all provisions of the DTA's AI impact assessment tool; high-risk use cases reported to the DTA
    • AI board role expanded to approving use cases, risk mitigation and ongoing monitoring
    • Commits to making the APS Academy's AI in government fundamentals course mandatory for all staff
    • Data, Digital and AI Strategy in development to set out ASIC's strategic position on AI
    • Existing risk incident management processes said to cover AI incidents
    • Workplace productivity use now includes supporting staff with administrative activities
    • Risk-based approach now aligned to the National framework for the assurance of AI in government, replacing the AI Assurance Framework
    • Statement reviewed and updated 27 February 2026
    • Added: AI use-case register: not mentioned → in place
    • Added: Chief AI Officer: not mentioned → in place
    • Added: New commitment (will): Will implement APS Academy AI in government fundamentals as mandatory training for all ASIC staff
    • Added: New commitment (will): Will report any high-risk AI use cases to the DTA
    • Added: Safeguard added: incident or concern reporting
    • Added: Safeguard added: use case register
    • Added: Strategic position on AI: not mentioned → planned
    • Changed: Policy version referenced: unspecified → v2
    • Changed: Stated last-updated date: 2025-02-28 → 2026-02-27
    Show the words that changed ↓
  3. substantive ASIC gives its accountable official and chief AI officer roles to two different executives, where one leader used to hold both, and logs the change in its revision history.

    read by Claude Opus 5.5
    • Accountable official is now the Executive Director, Digital, Data and Technology
    • Chief AI Officer is now the Executive Director, Markets, split from the accountable official role
    • Removed: Senior Executive Leader, Data, Analytics and AI as holder of both roles
    • Revision history entry added dated 4 September 2026
    • Changed: Stated last-updated date: 2026-02-27 → 2026-09-04
    Show the words that changed ↓

What the statement says

How to read this

ASIC says it uses AI across all four DTA usage patterns: analytics, workplace productivity, decision support and image processing (screening inappropriate material). It applies these in compliance and fraud detection, enforcement and intelligence, internal service delivery and corporate functions, and says human review or oversight comes before any action is taken. Governance rests on a risk-based AI policy that implements the government policy, an AI board, a use-case register with owners, impact assessments and role-based training. The accountable official and the Chief AI Officer are now two different executive directors. A strategy and mandatory staff training are still to come, and ASIC says it may not disclose AI used in surveillance and enforcement. read by Claude Opus 5.5

What it says AI is used for

  • Analytics for insights
  • Workplace productivity
  • Decision making and administrative action
  • Image processing
  • Compliance and fraud detection
  • Corporate and enabling
  • Law enforcement, intelligence and security
  • Service delivery

Public-facing AI: yes, with human review

Safeguards named: risk assessment, human review of outputs, audit or assurance, staff training, testing or evaluation, privacy or security controls, a governance body, an acceptable-use policy, use-case register, 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
Executive Director, Digital, Data and Technology
Strategic position on AI
planned
AI use-case register
in place
Staff training
available
Policy version referenced
version 2.0

What the AI Plan asks AI Plan

Chief AI Officer
in place (Executive Director, Markets)

Dates as of 12 Oct 2026

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

Commitments

  • human oversight In all cases of AI use, human review or oversight is involved before any action is taken
  • will ASIC will comply with applicable laws and regulation in its use of AI
  • will Statement updated for significant changes in approach to AI, and at least every twelve months
  • will Will implement APS Academy AI in government fundamentals as mandatory training for all ASIC staff
  • will Will report any high-risk AI use cases to the DTA

The statement

How to read this

ASIC’s Artificial intelligence (AI) transparency statement is issued further to the Australian Government’s Policy for the responsible use of AI in government (the policy). The policy provides mandatory requirements for government departments and agencies. This page provides details of ASIC’s implementation of those requirements. (Template language)

ASIC is Australia’s integrated corporate, financial services, consumer credit and markets regulator. ASIC’s work helps maintain the integrity of Australia’s financial system and protects consumers from harm. We do this by undertaking a range of regulatory activities that will be improved by developing and deploying AI systems.

ASIC is committed to safe, responsible, and transparent use of AI and will comply with applicable laws and regulation.

Why ASIC uses AI or is considering its adoption

ASIC has an extensive remit, and AI can make us more effective and efficient. Given the rapid adoption of AI in financial services, our ability to regulate the use of AI in this sector will also be enhanced by gaining expertise in and experience with AI.

Classification of AI use according to usage patterns and domains

ASIC has adopted the definition of AI used in the policy. This definition is broad and potentially includes technologies and systems not commonly considered as AI. We manage AI systems by taking a risk-based approach. For example, we scrutinise more closely and apply tighter controls to AI systems that present the most risk.

As a law-enforcement agency, there may be occasions when we do not disclose the use of AI in connection with surveillance and enforcement activity, and this transparency statement should be read subject to that qualification.

The following tables describe how ASIC is currently using AI, as prescribed by the Digital Transformation Agency (DTA):

The table below describes AI usage at ASIC.

Usage pattern Description
Analytics for insights Identifies patterns, produces insights, and extracts information within structured and unstructured data
Workplace productivity Automates routine tasks, helps manage workflows and supports staff with administrative activities
Decision making and administrative action Supports decision making by guiding, assessing, or by making a recommendation to a human decision maker
Image processing Identifies patterns and objects within images (such as nudity) to prevent exposure of ASIC staff to inappropriate material

The table below demonstrates ASIC domains where AI is used at ASIC.

Domain Description
Compliance and fraud detection Supports identification and summarisation of patterns and anomalies in data to detect fraudulent activities and risk
Corporate and enabling Supports corporate functions by automating processes, optimising resource allocation, and improving operational efficiency
Law enforcement, intelligence, and security Supports enforcement and intelligence activities by analysing data from various sources, and by aiding in intelligence gathering
Service delivery Enhances efficiency of internal services

Classification of use where the public may directly interact with, or be significantly impacted by AI or its outputs, without human review

ASIC does not use AI in any manner that allows direct interaction with the public or significantly impacts the public, without human oversight or involvement.

Measures to monitor the effectiveness of deployed AI systems and protect the public against negative impacts

ASIC has governance structures and processes in place and is continuously developing these in alignment with whole-government initiatives. For example:

Our AI policy sets organisational responsibilities and considerations for developing, deploying, and using AI. Our AI policy is aligned with the principles underpinning the Australian AI Ethics Principles and implements the Australian Government’s Policy for the responsible use of AI in government. (Template language)

AI assurance and risk management process

We are participating in whole-of-government initiatives to develop an AI assurance process comprising of AI controls, measurement and assessment, monitoring and reporting, roles and responsibilities.

For our regulatory and enforcement activities, ASIC uses well-understood systems that have clear and proven benefits. Our risk-based approach is aligned to the National framework for the assurance of AI in government.

ASIC’s data and AI governance practices include privacy, ethics, and security assessments. In all cases of AI use, human review or oversight is involved before any action is taken.

Our AI board is the primary governance body for AI which oversees the design, development, deployment and use of AI in ASIC. This includes approval of AI use cases and making recommendations for improvements, risk mitigation, and ongoing monitoring and compliance.

We are investigating and adopting fit-for purpose technology to support the use of AI. This has involved:

  • regular monitoring and evaluation of performance,
  • adoption of robust security measures and access control, including monitoring for abnormal security activities, and
  • implementation of explainable AI methods to ensure the AI systems are interpretable, explainable and understandable.

Compliance with the requirements under the Policy for responsible use of AI in government (Template language)

AI accountable official and chief AI officer (Template language)

The Executive Director, Digital, Data and Technology is ASIC’s Accountable Official under the policy, and the Executive Director, Markets is ASIC’s Chief AI Officer under the [APS AI Plan 2025](https://www.digital.gov.au/sites/default/files/documents/2025-11/APS AI Plan 2025.pdf). (Template language)

Strategic position on AI adoption Also appears in 1 other agency PBO

ASIC is currently developing a Data, Digital and AI Strategy which will outline ASIC’s strategic position on AI adoption.

Internal AI use case register and use case accountability

ASIC maintains an internal register of AI use cases that captures the minimum required fields outlined in the Standard for accountability. Each use case has a designated accountable use case owner.

Operationalising the responsible use of AI and AI impact assessment

ASIC has established an AI policy, AI board and AI use case assessment that integrates all provisions of the DTA’s AI impact assessment tool. This includes assessment of AI use cases by ASIC’s AI board and reporting of any high-risk use cases to the DTA. ASIC also has existing risk incident management processes which includes AI incidents.

ASIC will be implementing the Australian Public Service Academy’s (APSC) AI in government fundamentals as a mandatory training for all ASIC staff. In addition, we implement role-based training programs and a series of organisation-wide AI training sessions. Data literacy is also a core capability within ASIC’s learning and development syllabus.

Updates and more information Also appears in 1 other agency NDISQSC

This transparency statement was most recently updated on 27 February 2026. It will be updated to reflect significant changes in our approach to AI, and at least every twelve months.

If you have questions or seek more information about this AI transparency statement please submit an online enquiry.

Update publication date Update comment
28 February 2025 Publication of first AI transparency statement
27 February 2026 Reviewed to reflect the updated Policy for responsible use of AI released in December 2025
4 September 2026 Updated Accountable Official and Chief AI Officer roles
(Template language)

Statement text © Australian Securities and Investments Commission. Most agency content is CC BY 4.0; check the original for its terms.

Every version

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

  1. substantive +157

    ASIC gives its accountable official and chief AI officer roles to two different executives, where one leader used to hold both, and logs the change in its revision history.

    read by Claude Opus 5.5
    The words that changed
    ASIC’s Artificial intelligence (AI) transparency statement is issued further to the Australian Government’s [Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy "Australian Government's Policy for the responsible use of AI in government") (the policy). The policy provides mandatory requirements for government departments and agencies. This page provides details of ASIC’s implementation of those requirements. ASIC is Australia’s integrated corporate, financial services, consumer credit and markets regulator. ASIC’s work helps maintain the integrity of Australia’s financial system and protects consumers from harm. We do this by undertaking a range of regulatory activities that will be improved by developing and deploying AI systems. ASIC is committed to safe, responsible, and transparent use of AI and will comply with applicable laws and regulation. ## Why ASIC uses AI or is considering its adoption ASIC has an extensive remit, and AI can make us more effective and efficient. Given the rapid adoption of AI in financial services, our ability to regulate the use of AI in this sector will also be enhanced by gaining expertise in and experience with AI. ## Classification of AI use according to usage patterns and domains ASIC has adopted the definition of AI used in the policy. This definition is broad and potentially includes technologies and systems not commonly considered as AI. We manage AI systems by taking a risk-based approach. For example, we scrutinise more closely and apply tighter controls to AI systems that present the most risk. As a law-enforcement agency, there may be occasions when we do not disclose the use of AI in connection with surveillance and enforcement activity, and this transparency statement should be read subject to that qualification. The following tables describe how ASIC is currently using AI, as prescribed by the Digital Transformation Agency (DTA): The table below describes AI usage at ASIC. | Usage pattern | Description | | ----------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- | | Analytics for insights | Identifies patterns, produces insights, and extracts information within structured and unstructured data | | Workplace productivity | Automates routine tasks, helps manage workflows and supports staff with administrative activities | | Decision making and administrative action | Supports decision making by guiding, assessing, or by making a recommendation to a human decision maker | | Image processing | Identifies patterns and objects within images (such as nudity) to prevent exposure of ASIC staff to inappropriate material | The table below demonstrates ASIC domains where AI is used at ASIC. | Domain | Description | | ------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- | | Compliance and fraud detection | Supports identification and summarisation of patterns and anomalies in data to detect fraudulent activities and risk | | Corporate and enabling | Supports corporate functions by automating processes, optimising resource allocation, and improving operational efficiency | | Law enforcement, intelligence, and security | Supports enforcement and intelligence activities by analysing data from various sources, and by aiding in intelligence gathering | | Service delivery | Enhances efficiency of internal services | ## Classification of use where the public may directly interact with, or be significantly impacted by AI or its outputs, without human review ASIC does not use AI in any manner that allows direct interaction with the public or significantly impacts the public, without human oversight or involvement. ## Measures to monitor the effectiveness of deployed AI systems and protect the public against negative impacts ASIC has governance structures and processes in place and is continuously developing these in alignment with whole-government initiatives. For example: ### ASIC’s AI policy Our AI policy sets organisational responsibilities and considerations for developing, deploying, and using AI. Our AI policy is aligned with the principles underpinning the [Australian AI Ethics Principles](https://www.industry.gov.au/publications/australias-artificial-intelligence-ethics-principles/australias-ai-ethics-principles) and implements the [Australian Government’s Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy). ### AI assurance and risk management process We are participating in whole-of-government initiatives to develop an AI assurance process comprising of AI controls, measurement and assessment, monitoring and reporting, roles and responsibilities. For our regulatory and enforcement activities, ASIC uses well-understood systems that have clear and proven benefits. Our risk-based approach is aligned to the [National framework for the assurance of AI in government](https://www.finance.gov.au/government/public-data/data-and-digital-ministers-meeting/national-framework-assurance-artificial-intelligence-government). ASIC’s data and AI governance practices include privacy, ethics, and security assessments. In all cases of AI use, human review or oversight is involved before any action is taken. ### AI board Our AI board is the primary governance body for AI which oversees the design, development, deployment and use of AI in ASIC. This includes approval of AI use cases and making recommendations for improvements, risk mitigation, and ongoing monitoring and compliance. ### Foundational technologies We are investigating and adopting fit-for purpose technology to support the use of AI. This has involved: - regular monitoring and evaluation of performance, - adoption of robust security measures and access control, including monitoring for abnormal security activities, and - implementation of explainable AI methods to ensure the AI systems are interpretable, explainable and understandable. ## Compliance with the requirements under the Policy for responsible use of AI in government ### AI accountable official and chief AI officer ASIC’s SeniorThe Executive LeadeDirector, Daigital, Analytics and AI is the aData and Technology is ASIC’s Accountable oOfficial under the policy, and the cExecutive Director, Markets is ASIC’s Chief AI oOfficer under the \[APS AI Plan 2025\](https://www.digital.gov.au/sites/default/files/documents/2025-11/APS%20AI%20 AI Plan%20 2025.pdf). ### Strategic position on AI adoption ASIC is currently developing a Data, Digital and AI Strategy which will outline ASIC’s strategic position on AI adoption. ### Internal AI use case register and use case accountability ASIC maintains an internal register of AI use cases that captures the minimum required fields outlined in [the Standard for accountability](https://www.digital.gov.au/ai/ai-in-government-policy/accountability). Each use case has a designated accountable use case owner. ### Operationalising the responsible use of AI and AI impact assessment ASIC has established an AI policy, AI board and AI use case assessment that integrates all provisions of the DTA’s AI impact assessment tool. This includes assessment of AI use cases by ASIC’s AI board and reporting of any high-risk use cases to the DTA. ASIC also has existing risk incident management processes which includes AI incidents. ### Staff training on AI ASIC will be implementing the Australian Public Service Academy’s (APSC) AI in government fundamentals as a mandatory training for all ASIC staff. In addition, we implement role-based training programs and a series of organisation-wide AI training sessions. Data literacy is also a core capability within ASIC’s learning and development syllabus. ## Updates and more information This transparency statement was most recently updated on 27 February 2026. It will be updated to reflect significant changes in our approach to AI, and at least every twelve months. If you have questions or seek more information about this AI transparency statement please submit an [online enquiry](https://asic.gov.au/about-asic/contact-us#online?get/landingPage/). | Update publication date | Update comment | | ----------------------- | ------------------------------------------------------------------------------------------ | | 28 February 2025 | Publication of first AI transparency statement | | 27 February 2026 | Reviewed to reflect the updated Policy for responsible use of AI released in December 2025 | | 4 September 2026 | Updated Accountable Official and Chief AI Officer roles |
    68814b7
  2. substantive +1342

    ASIC reviewed its statement for the December 2025 policy: it names its accountable official as Chief AI Officer, adds a use case register and impact assessment, and plans mandatory staff training.

    read by Claude Opus 5.5
    The words that changed
    ASIC’s Artificial intelligence (AI) transparency statement is issued further to the Australian Government’s [Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy "Australian Government's Policy for the responsible use of AI in government") (the policy). The policy provides mandatory requirements for [accountable officials](https://www.digital.gov.au/policy/ai/accountable-officials "Accountable officials") of government departments and agencies, and their [](https://www.digital.gov.au/policy/ai/accountable-officials)[transparency statements](https://www.digital.gov.au/policy/ai/transparency-statements "Transparency statements")government departments and agencies. This page provides details of ASIC’s implementation of those requirements. ASIC is Australia’s integrated corporate, financial services, consumer credit and markets regulator. ASIC’s work helps maintain the integrity of Australia’s financial system and protects consumers from harm. We do this by undertaking a range of regulatory activities that will be improved by developing and deploying AI systems. ASIC is committed to safe, responsible, and transparent use of AI and will comply with applicable laws and regulation. ## Why ASIC uses AI or is considering its adoption ASIC has an extensive remit, and AI can make us more effective and efficient. Given the rapid adoption of AI in financial services, our ability to regulate the use of AI in this sector will also be enhanced by gaining expertise in and experience with AI. ## Classification of AI use according to usage patterns and domains ASIC has adopted the definition of AI used in the policy. This definition is broad and potentially includes technologies and systems not commonly considered as AI. We manage AI systems by taking a risk-based approach. For example, we scrutinise more closely and apply tighter controls to AI systems that present the most risk. As a law-enforcement agency, there may be occasions when we do not disclose the use of AI in connection with surveillance and enforcement activity, and this transparency statement should be read subject to that qualification. The following tables describe how ASIC is currently using AI, as prescribed by the Digital Transformation Agency (DTA): The table below demonstratscribes AI usage and patterns at ASIC. | **Usage pattern** | **Description** | | ----------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- | | Analytics for insights | Identifies patterns, produces insights, and extracts information within structured and unstructured data | | Workplace productivity | Automates routine tasks and, helps manage workflows and supports staff with administrative activities | | Decision making and administrative action | Supports decision making by guiding, assessing, or by making a recommendation to a human decision maker | | Image processing | Identifies patterns and objects within images (such as nudity) to prevent exposure of ASIC staff to inappropriate material | The table below demonstrates ASIC domains where AI is used at ASIC. | **Domain** | **Description** | | ------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- | | Compliance and fraud detection | Supports identification and summarisation of patterns and anomalies in data to detect fraudulent activities and risk | | Corporate and enabling | Supports corporate functions by automating processes, optimising resource allocation, and improving operational efficiency | | Law enforcement, intelligence, and security | Supports enforcement and intelligence activities by analysing data from various sources, and by aiding in intelligence gathering | | Service delivery | Enhances efficiency of internal services | ## Classification of use where the public may directly interact with, or be significantly impacted by AI or its outputs, without a human intermediary or interventionreview ASIC does not use AI in any manner that allows direct interaction with the public or significantly impacts the public, without human oversight or involvement. ## Measures to monitor the effectiveness of deployed AI systems, such as governance or processes ASIC currently and protect the public against negative impacts ASIC has governance structures and processes in place and is continuously developing others. We are also building workforce capabilityse in alignment with whole-government initiatives. For example: ### ASIC’s AI policy Our AI policy sets organisational responsibilities and considerations for developing, deploying, and using AI. Our AI policy is aligned with the principles underpinning the [Australian AI Ethics Principles](https://www.industry.gov.au/publications/australias-artificial-intelligence-ethics-principles/australias-ai-ethics-principles) and implements the [Australian Government’s Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy). ### Our AI assurance frameworkand risk management process We are participating in whole-of-government initiatives to develop an AI assurance frameworkprocess comprising of AI controls, measurement and assessment, monitoring and reporting, roles and responsibilities. For our regulatory and enforcement activities, ASIC uses well-understood systems that have clear and proven benefits. Our risk-based approach is aligned to the [National framework for the assurance of AI in government](https://www.finance.gov.au/government/public-data/data-and-digital-ministers-meeting/national-framework-assurance-artificial-intelligence-government). ASIC’s data and AI governance practices include privacy, ethics, and security assessments. In all cases of AI use, human review or oversight is involved before any action is taken. ### AI board AnOur AI board is the primary governance body for AI which oversees the design, development, deployment and use of AI byin ASIC. This includes approval of AI use cases and making recommendations for improvements, risk mitigation, and ongoing monitoring and compliance. ### Foundational technologies We are investigating and adopting fit-for purpose technology to support the use of AI. This has involved: - regular monitoring and evaluation of performance, - adoption of robust security measures and access control, including monitoring for abnormal security activities, and - implementation of explainable AI methods to ensure the AI systems are interpretable, explainable and understandable. ### People capabilities W Compliance with the are implementing role-based training programs for AI. We have also developed a series of organisation-wide AI training sessions to address our immediate needs. Data literacy is also a core capabiquirements under the Policy for responsible use of AI in government ### AI accountable official and chief AI officer ASIC’s Senior Executive Leader, Data, Analytics and AI is the accountable official under the politcy within ASIC’s learning and development syllabus. ## Efforts to identify and protect the public against negative impactsand the chief AI officer under the [APS AI Plan 2025](https://www.digital.gov.au/sites/default/files/documents/2025-11/APS%20AI%20Plan%202025.pdf). ### Strategic position on AI adoption ASIC is currently developing a Data, Digital and AI Strategy which will outline ASIC’s strategic position ofn AI For our regulatory and enforcement activities, ASIC uses well-understood systems that have clear and proven benefits. Our risk-based approach is a adoption. ### Internal AI use case register and use case accountability ASIC maintains an internal register of AI use cases that captures the minimum required fields outligned to the Australian Government AI Assurance Framework. AI systems developed by our data analytics teams and procured from external partners are used within ASIC. These are describein [the Standard for accountability](https://www.digital.gov.au/ai/ai-in-government-policy/accountability). Each use case has a designated accountable use case owner. ### Operationalising the responsible use of AI and AI impact assessment ASIC has established an AI policy, AI board uander the usage patterns and domains section of this statement. ASIC’s data and AI governance practices include privacy, ethics, and security AI use case assessment that integrates all provisions of the DTA’s AI impact assessment tool. This includes assessment of AI use cases by ASIC’s AI board and reporting of any high-risk use cassessments. In all cases of AI use, human review or oversight is involved before any action is taken. ## Accountable official ASIC’s Senior Executive Leader, Data, Analytics and AI is the accountable official under the policy. | **Update publication date** | **Update comment** | | --------------------------- | ---------------------------------------------- | | 28 February 2025 | Publication of first AI transparency statement | to the DTA. ASIC also has existing risk incident management processes which includes AI incidents. ### Staff training on AI ASIC will be implementing the Australian Public Service Academy’s (APSC) AI in government fundamentals as a mandatory training for all ASIC staff. In addition, we implement role-based training programs and a series of organisation-wide AI training sessions. Data literacy is also a core capability within ASIC’s learning and development syllabus. ## Updates and more information This transparency statement was cremost recently updated on 287 February 20256. It will be updated to reflect significant changes in our approach to AI, and at least every twelve months. If you have questions or seek more information about this AI transparency statement please submit an [online enquiry](https://asic.gov.au/about-asic/contact-us#online?get/landingPage/). | Update publication date | Update comment | | ----------------------- | ------------------------------------------------------------------------------------------ | | 28 February 2025 | Publication of first AI transparency statement | | 27 February 2026 | Reviewed to reflect the updated Policy for responsible use of AI released in December 2025 |
    0a7413b
  3. noise -50

    ASIC's statement text is unchanged; only the page's title heading dropped out of the capture, most likely because of a page-layout or scraper difference.

    read by Claude Opus 5.5
    The words that changed
    # Artificial intelligence transparency statement ASIC’s Artificial intelligence (AI) transparency statement is issued further to the Australian Government’s [Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy "Australian Government's Policy for the responsible use of AI in government") (the policy). The policy provides mandatory requirements for [accountable officials](https://www.digital.gov.au/policy/ai/accountable-officials "Accountable officials") of government departments and agencies, and their [](https://www.digital.gov.au/policy/ai/accountable-officials)[transparency statements](https://www.digital.gov.au/policy/ai/transparency-statements "Transparency statements"). This page provides details of ASIC’s implementation of those requirements. ASIC is Australia’s integrated corporate, financial services, consumer credit and markets regulator. ASIC’s work helps maintain the integrity of Australia’s financial system and protects consumers from harm. We do this by undertaking a range of regulatory activities that will be improved by developing and deploying AI systems. ASIC is committed to safe, responsible, and transparent use of AI and will comply with applicable laws and regulation. ## Why ASIC uses AI or is considering its adoption ASIC has an extensive remit, and AI can make us more effective and efficient. Given the rapid adoption of AI in financial services, our ability to regulate the use of AI in this sector will also be enhanced by gaining expertise in and experience with AI. ## Classification of AI use according to usage patterns and domains ASIC has adopted the definition of AI used in the policy. This definition is broad and potentially includes technologies and systems not commonly considered as AI. We manage AI systems by taking a risk-based approach. For example, we scrutinise more closely and apply tighter controls to AI systems that present the most risk. As a law-enforcement agency, there may be occasions when we do not disclose the use of AI in connection with surveillance and enforcement activity, and this transparency statement should be read subject to that qualification. The following tables describe how ASIC is currently using AI, as prescribed by the Digital Transformation Agency: The table below demonstrates AI usage and patterns at ASIC. | **Usage pattern** | **Description** | | ----------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- | | Analytics for insights | Identifies patterns, produces insights, and extracts information within structured and unstructured data | | Workplace productivity | Automates routine tasks and helps manage workflows | | Decision making and administrative action | Supports decision making by guiding, assessing, or by making a recommendation to a human decision maker | | Image processing | Identifies patterns and objects within images (such as nudity) to prevent exposure of ASIC staff to inappropriate material | The table below demonstrates ASIC domains where AI is used at ASIC. | **Domain** | **Description** | | ------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- | | Compliance and fraud detection | Supports identification and summarisation of patterns and anomalies in data to detect fraudulent activities and risk | | Corporate and enabling | Supports corporate functions by automating processes, optimising resource allocation, and improving operational efficiency | | Law enforcement, intelligence, and security | Supports enforcement and intelligence activities by analysing data from various sources, and by aiding in intelligence gathering | | Service delivery | Enhances efficiency of internal services | ## Classification of use where the public may directly interact with, or be significantly impacted by AI, without a human intermediary or intervention ASIC does not use AI in any manner that allows direct interaction with the public or significantly impacts the public, without human oversight or involvement. ## Measures to monitor the effectiveness of deployed AI systems, such as governance or processes ASIC currently has governance structures in place and is developing others. We are also building workforce capability. For example: ### ASIC’s AI policy Our AI policy sets organisational responsibilities and considerations for developing, deploying, and using AI. Our AI policy is aligned with the principles underpinning the [Australian AI Ethics Principles](https://www.industry.gov.au/publications/australias-artificial-intelligence-ethics-principles/australias-ai-ethics-principles) and implements the [Australian Government’s Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy). ### Our AI assurance framework We are participating in whole-of-government initiatives to develop an AI assurance framework comprising AI controls, measurement and assessment, monitoring and reporting, roles and responsibilities. ### AI board An AI board oversees the design, development, deployment and use of AI by ASIC. ### Foundational technologies We are investigating and adopting fit-for purpose technology to support the use of AI. This has involved: - regular monitoring and evaluation of performance, - adoption of robust security measures and access control, including monitoring for abnormal security activities, and - implementation of explainable AI methods to ensure the AI systems are interpretable, explainable and understandable. ### People capabilities We are implementing role-based training programs for AI. We have also developed a series of organisation-wide AI training sessions to address our immediate needs. Data literacy is also a core capability within ASIC’s learning and development syllabus. ## Efforts to identify and protect the public against negative impacts of AI For our regulatory and enforcement activities, ASIC uses well-understood systems that have clear and proven benefits. Our risk-based approach is aligned to the Australian Government AI Assurance Framework. AI systems developed by our data analytics teams and procured from external partners are used within ASIC. These are described under the usage patterns and domains section of this statement. ASIC’s data and AI governance practices include privacy, ethics, and security assessments. In all cases of AI use, human review or oversight is involved before any action is taken. ## Accountable official ASIC’s Senior Executive Leader, Data, Analytics and AI is the accountable official under the policy. | **Update publication date** | **Update comment** | | --------------------------- | ---------------------------------------------- | | 28 February 2025 | Publication of first AI transparency statement | ## Updates and more information This transparency statement was created on 28 February 2025. It will be updated to reflect significant changes in our approach to AI, and at least every twelve months. If you have questions or seek more information about this AI transparency statement please submit an [online enquiry](https://asic.gov.au/about-asic/contact-us#online?get/landingPage/).
    8b08194
  4. first tracked +8025

    First tracked version.

    b7e2a3d