| name | KSB-D13-K0050 |
| description | Global AI Data Governance: Mastery of global data governance considerations for AI including GDPR implications for AI training,... |
| version | 1.0.0 |
| domain | D13 |
| domain_name | Global PV & Public Health |
| type | Knowledge |
| proficiency_level | L4 |
| bloom_level | analyze |
| triggers | ["explain global ai data governance","what is global ai data governance","analyze global ai data governance"] |
| epa_mapping | EPA-18, EPA-19 |
| cpa_mapping | CPA-06, CPA-07 |
| regulatory_refs | |
KSB-D13-K0050: Global AI Data Governance
Overview
Domain: D13 - Global PV & Public Health
Type: Knowledge
Proficiency Level: L4 (Proficient - Independent practice)
Bloom Level: Analyze
Description
Mastery of global data governance considerations for AI including GDPR implications for AI training, cross-border data transfer for AI systems, data sovereignty requirements, and international data sharing frameworks for AI development.
Context
- Major Section: AI in Global Pharmacovigilance
- Section: AI Data Governance
EPA Mapping
- EPA-18:3039-3040
- EPA-19:3041-3042
CPA Pathway
Regulatory References
Instructions
When this skill is activated, Claude should:
- Demonstrate L4 proficiency in global ai data governance
- Apply analyze level cognitive skills to analyze the topic
- Reference relevant regulatory guidance (general PV standards)
- Connect to related EPAs: EPA-18, EPA-19
Key Competencies
- Mastery of global data governance considerations for AI including GDPR implications for AI training, cross-border data transfer for AI systems, data sovereignty requirements, and international data sharing frameworks for AI development.
Assessment Criteria
- Can analyze core concepts independently
- Demonstrates understanding of regulatory context
- Applies knowledge appropriately to PV scenarios
Related Skills
- Other D13 skills in AI Data Governance
- Cross-domain integrations per DAG architecture
Generated from PV KSB Framework v1.0 | 2025-12-31