DIGI2AL

Artificial Intelligence

• Translate defence AI policies, standards, and industry frameworks into practical assurance processes, checklists, templates, and guidance
• Manage intake and registration of emerging AI initiatives
• Assess system context, consequence, and novelty to determine proportionate assurance tiers
• Guide multidisciplinary teams through system boundary definition, hazard identification, ethical impact assessments, control design, residual risk scoring, and formal risk ownership
• Interrogate AI system specifications, data provenance, training pipelines, model documentation, algorithmic bias assessments, and data sufficiency
• Scope and coordinate deeper technical assurance for high-risk capabilities, including model evaluations, adversarial robustness/red-teaming, and cyber/safety stress tests
• Maintain the central AI assurance risk register
• Escalate critical residual risks through governance boards
• Compile evidence supporting senior leadership assurance statements
• Align AI assurance workflows with digital delivery mechanisms, Secure by Design frameworks, safety cases, and technical test/trials pathways
• Deliver coaching, guidance, and upskilling to internal delivery teams and emerging assurance personnel

Explore AI Assurance Practitioner at DIGI2AL. Review requirements and application details.

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AI Assurance Practitioner