ksb-d11-k0102

name	KSB-D11-K0102
description	AI-Optimized Risk Minimization: Mastery of AI applications in risk minimization measure design including machine learning-based effe...
version	1.0.0
domain	D11
domain_name	Risk Management
type	Knowledge
proficiency_level	L4
bloom_level	evaluate
triggers	["explain ai-optimized risk minimization","what is ai-optimized risk minimization","evaluate ai-optimized risk minimization"]
epa_mapping	EPA-07, EPA-08, EPA-16
cpa_mapping	CPA-03
regulatory_refs

KSB-D11-K0102: AI-Optimized Risk Minimization

Overview

Domain: D11 - Risk Management Type: Knowledge Proficiency Level: L4 (Proficient - Independent practice) Bloom Level: Evaluate

Description

Mastery of AI applications in risk minimization measure design including machine learning-based effectiveness prediction, intelligent intervention targeting, AI-assisted REMS optimization, and predictive modeling for risk management outcomes.

Context

• Major Section: AI-Enhanced Risk Management
• Section: Intelligent RMM Design

EPA Mapping

• EPA-07:3016-3017
• EPA-08:3018-3019
• EPA-16:3035-3036

CPA Pathway

• CPA-03

Regulatory References

• General PV competency

Instructions

When this skill is activated, Claude should:

1. Demonstrate L4 proficiency in ai-optimized risk minimization
2. Apply evaluate level cognitive skills to evaluate the topic
3. Reference relevant regulatory guidance (general PV standards)
4. Connect to related EPAs: EPA-07, EPA-08, EPA-16

Key Competencies

• Mastery of AI applications in risk minimization measure design including machine learning-based effectiveness prediction, intelligent intervention targeting, AI-assisted REMS optimization, and predictive modeling for risk management outcomes.

Assessment Criteria

• Can evaluate core concepts independently
• Demonstrates understanding of regulatory context
• Applies knowledge appropriately to PV scenarios

Related Skills

• Other D11 skills in Intelligent RMM Design
• Cross-domain integrations per DAG architecture

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Generated from PV KSB Framework v1.0 | 2025-12-31