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How to apply

Choose a suitable accountable official

Agencies may choose AOs who suit the agency context and structure.

The responsibilities may be vested in an individual or in the chair of a body. The responsibilities may also be split across officials or existing roles (such as Chief Information Officer, Chief Technology Officer or Chief Data Officer) to suit agency preferences.

— Enable and prepare, Policy for the responsible use of AI in government

As policy implementation is not solely focused on technology, AOs may also be selected from business or policy areas. AOs should have the authority and influence to effectively drive the policy’s implementation in their agency.

Agencies may choose to share AO responsibilities across multiple leadership positions.

Agencies are to email ai@dta.gov.au with the contact details of all their AOs both on initial selection and when the accountable roles change.

Implementing the policy

AOs are accountable for their agency’s implementation of the policy. Agencies should implement the entire policy as soon as practical, with consideration to the agency’s context, size and function.

The mandatory actions of the policy must be implemented within their specified timelines.

The policy provides a coordinated approach for the use of AI across the Australian Government. It builds public trust by supporting the Australian Public Service (APS) to engage with AI in a responsible way. AOs should assist in delivering its aims by:

• uplifting governance of AI adoption in their agency
• embedding a culture that fairly balances AI risk management and innovation
• enhancing the response and adaptation to AI policy changes in their agency
• facilitating their agency’s involvement in cross-government coordination and collaboration.

AOs should also consider the following activities:

• developing a policy implementation plan
• monitoring and measuring the implementation of each policy requirement
• strongly encouraging implementation of AI fundamentals training for all staff
• strongly encouraging additional training for staff in consideration of their role and responsibilities, such as those responsible for the procurement, development, training and deployment of AI systems
• encouraging the implementation of further actions suggested in the policy
• encouraging the development or alignment of an agency-specific AI policy
• reviewing policy implementation regularly and provide feedback to the DTA.

In line with the Standard for Transparency Statements, AOs should provide the DTA with a link to their agency transparency statement, whenever it is published or updated, by emailing ai@dta.gov.au.

Reporting high-risk use cases

AOs must send information to the DTA, by emailing ai@dta.gov.au, in the event their agency identifies a new high-risk use case. This includes when an existing AI use case is re-assessed as high-risk.

The information should include:

• the type of AI
• intended application
• why the agency arrived at a ‘high-risk’ assessment
• any sensitivities.

This is not intended to prevent agencies from adopting the use case. Instead, it will help government develop risk mitigation approaches and maintain a whole-of-government view of high-risk use cases.

While the risk matrix explains how to approach a risk assessment, it is the responsibility of agencies to determine the risks to assess for.

Acting as the agency’s contact point

At times, the DTA will need to collect information and coordinate activities across government to mature the whole-of-government approach and policy.

AOs are the primary point of contact within their agency. They should facilitate connection to the appropriate internal areas and allow for information collection and agency participation in these activities.

Engaging with forums and processes

AOs must participate in, or nominate a delegate for, whole-of-government forums and processes which support collaboration and coordination on current and emerging AI issues. These forums will be communicated to AOs as they emerge.

Risk assessment for use of AI

Risk matrix

Figure 1: Risk matrix for use of AI