# AI Selection Legal Landscape

> - Use when assessing the legal and regulatory exposure of an AI-based / technologically enhanced personnel selection tool (primarily U.S., with global notes). Covers the Uniform Guidelines on Employee Selection Procedures, Title VII disparate impact and the job-relatedness/business-necessity defense, the OFCCP's 2019 position on AI, the Guardians content-validation case, the Illinois AI Video Interview Act and other state laws, and why "no adverse impact" does not equal "valid." Triggers: "is this AI hiring tool legal", "Uniform Guidelines and AI", "disparate impact algorithm", "OFCCP AI", "Illinois AI Video Interview Act / BIPA", "do we need to validate the algorithm", "adverse impact vs validity".

## Facts
- Page: https://tashan.sh/capability/skill-openmatter-network-ai-selection-legal-landscape
- tashan id: skill:OpenMatter-Network/ai-selection-legal-landscape
- Source: https://github.com/OpenMatter-Network/agent-io-skills
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 71.0
- Freshness: 76.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r ai-selection-legal-landscape ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-15 by tashan (https://tashan.sh) from public evidence. Scorer s5.