AI Assurance Practitioner
- Location
- Portsmouth, England, United Kingdom
Guide multidisciplinary delivery teams through system boundary definition, hazard identification, ethical impact assessments, control design, residual risk scoring, and formal risk ownership. Technical Evidence & Model Review: Interrogate AI system specifications, data provenance, training pipelines, model documentation, algorithmic bias assessments, and data sufficiency to constructively challenge incomplete evidence. Specialist … Assessment Coordination: Scope and coordinate deeper technical assurance for high-risk capabilities, including model evaluations, adversarial robustness/red-teaming, and cyber/safety stress tests. Governance, Escalation & Reporting: Maintain the central AI assurance risk register, elevate critical residual risks through established governance boards, and compile evidence to support ...