care-reference

Explain the CARE governance framework for enterprise AI accountability and human-on-the-loop design.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/myeohVmzrka92/disease-risk-controller-S2 --skill care-reference-myeohvmzrka92
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: care-reference
Source: https://github.com/myeohVmzrka92/disease-risk-controller-S2/tree/main/.claude/skills/27-care-reference
Command: npx skills add https://github.com/myeohVmzrka92/disease-risk-controller-S2 --skill care-reference-myeohvmzrka92

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill gives you a concise, reliable reference for the CARE framework so you can discuss enterprise AI governance without losing the distinction between human accountability and AI execution.

Core Features & Use Cases

  • Governance Concepts: Explains the Dual Plane Model, Mirror Thesis, and Human-on-the-Loop operating model.
  • Framework Relationships: Clarifies how CARE relates to EATP and COC in enterprise AI systems.
  • Practical Use Cases: Use it when you need to brief a team on governance boundaries, human competencies, or the rationale for shared autonomy in organizational workflows.

Quick Start

Use the care-reference skill to summarize the CARE framework and explain how it separates human trust decisions from AI execution.

Frequently Asked Questions about care-reference

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the CARE framework for enterprise AI governance?

The CARE framework is an enterprise AI governance model that separates human accountability from AI execution, ensuring humans retain trust decision authority while AI handles operational tasks.

How does human-on-the-loop design work in AI governance?

Human-on-the-loop design keeps humans actively involved in AI governance by maintaining oversight of shared execution workflows, ensuring human competencies guide autonomous systems without blocking operational efficiency.

What is the Dual Plane Model in enterprise AI accountability?

The Dual Plane Model is a governance concept within the CARE framework that distinguishes between the human accountability plane and the AI execution plane, clarifying trust boundaries for enterprise systems.

How do CARE, EATP, and COC relate in enterprise AI systems?

CARE, EATP, and COC are interconnected enterprise AI frameworks where CARE defines governance boundaries and human accountability, while EATP and COC address complementary aspects of trust and operational compliance.

Can I use the CARE framework to brief a team on AI governance boundaries?

Yes, the CARE framework provides a concise reference for briefing teams on governance boundaries, human competencies, and the rationale for shared autonomy in organizational AI workflows.

Does the CARE framework include implementation tooling for AI governance?

No, the CARE framework provides conceptual governance principles and reference material for trust boundaries and shared execution, but it does not include implementation tooling or technical deployment components.