Statement 3: Identify and build people capabilities
Agencies must
Criterion 6: Identify and assign AI roles to ensure a diverse team of business and technology professionals with specialised skills.
Specialist roles may include, noting that an individual may perform one or more of these roles:
- AI accountable official: A senior executive accountable for their agency’s implementation of the Policy for the responsible use of AI in government
- Data scientists and analysts: Professionals who collect, process, and analyse datasets to inform AI models. They will have expertise in statistical analysis which supports the development of reliable AI systems
- AI integration engineers: Professionals responsible for planning, designing and implementing all components requiring integration in an AI system. The role includes reviewing client needs, developing and testing specifications and documenting outputs
- AI and machine language engineers: Specialists who design, build, and maintain AI models and algorithms. They work closely with data scientists to implement scalable AI systems
- AI test engineers: Specialists who verify and validate AI systems against business and technical requirements
- Ethics and compliance officers: Specialists who ensure that AI systems adhere to legal standards and ethical guidelines, mitigating risks associated with AI systems
- Domain experts: Individuals with specialised knowledge in specific fields, such as healthcare or finance, who provide context and insights to ensure that AI systems are relevant and effective within their respective domain.
Criterion 7: Build and maintain AI capabilities by undertaking regular training and education of end users, staff, and stakeholders.
This may involve:
- agencies should provide regular training programs keep staff updated on the latest tools, methodologies, ethical guidelines and regulatory requirements
- consider how to tailor training to the knowledge requirements of each role and provide staff involved in procurement, design, development, testing, and deployment of AI systems with specialised training. For example, individuals responsible for managing and operating AI decision-making systems should undergo specific AI ethics training
- consider tailoring training for people with disability
- consider interactive workshops, simulations, case study walk-throughs and computing sandpit environments to provide more immersive and real-world-like experiences especially for more complex aspects of AI.
Agencies should:
Criterion 8: Mitigate staff over reliance, under reliance, and aversion of AI.
This may involve:
- perform periodic technology-specific training, performance assessments, peer reviews, or random audits
- implement a regular feedback loop for incorrect AI outcomes.