Competence in AI systems

Description

Personnel possess required technical, ethical, and domain competencies for their AI-related roles with documented skill assessments.

Implementation Guidance

Competency Framework

Define required competencies for each AI role: technical skills (ML engineering, data science, MLOps), domain knowledge (industry-specific understanding), ethical awareness (fairness, bias, privacy), and governance understanding (regulatory requirements, organizational policies).

Assessment and Development

Conduct initial and periodic competency assessments against role requirements. Identify gaps and create individual development plans. Provide access to training resources (courses, conferences, certifications) and track completion.

Hiring and Onboarding

Incorporate AI competency requirements into job descriptions and hiring criteria. Include AI governance and ethics modules in onboarding for all AI-related roles.

Evidence Requirements

• AI competency framework by role
• Individual competency assessment results
• Training completion records and certifications
• Development plans and progress tracking