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aia-generation

Generate structured AI Impact Assessments with regulatory classification and policy consistency diffs.

Updated May 26, 2026
Search Tags:#governance#risk analysis#jurisdiction#regulatory classification#attorney review#policy diff#ai impact assessment
One-click install
npx skills add https://github.com/yachela/claude-for-legal-ar --skill aia-generation-yachela
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aia-generation
Source: https://github.com/yachela/claude-for-legal-ar/tree/main/ai-governance-legal/skills/aia-generation
Command: npx skills add https://github.com/yachela/claude-for-legal-ar --skill aia-generation-yachela

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you produce a documented, structured AI Impact Assessment that evaluates what an AI system does, who is affected, the regulatory risk it triggers, and what conditions are required before deployment.

Core Features & Use Cases

  • Structured AIA output in house style: Writes the assessment using the organization’s Impact assessment template and formatting conventions.
  • Regulatory classification and obligations: Classifies risk across the configured regulatory footprint, flags prohibited-practice exposure, and lists applicable duties with citations.
  • Policy consistency diff: Checks the system against the organization’s AI policy commitments and calls out mismatches that require changes or conditions.
  • Conditions and handoffs: Produces a conditions list and flags follow-up steps like privacy PIA or vendor review when needed.

Quick Start

Run /ai-governance-legal:aia-generation "AI résumé screening for HR" to generate the assessment for that use case.

Frequently Asked Questions about aia-generation

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

FAQPage Schema
How do I generate an AI impact assessment for a new use case?▼

An AI impact assessment evaluates what an AI system does, who is affected, and the regulatory risk it triggers. It is needed when an AI system materially influences decisions about individuals or processes personal data during deployment.

How does regulatory classification work during an AI impact assessment?▼

Regulatory classification maps the use case across the configured regulatory footprint, flags prohibited-practice exposure, and lists applicable duties with cited authorities. It identifies jurisdictional obligations to ensure compliance before deployment.

Can I check AI system designs against existing policy commitments?▼

Yes, a policy consistency diff checks the AI system against configured policy commitments and calls out mismatches. It identifies policy violations that require changes or conditional approvals before deployment.

What follow-up steps are flagged after completing an AI impact assessment?▼

The assessment produces a conditions list and flags follow-up handoffs like privacy PIA or vendor review when needed. These handoffs direct downstream governance requirements to the appropriate review teams before deployment.

When should I not use an automated AI impact assessment?▼

An automated AI impact assessment should not replace formal attorney review for complex jurisdictional rulings. It applies to governance review triage and requires legal experts for final approval of high-risk deployments.

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