# AI Candidate Data Control

> - Use when an AI/ML selection tool uses data the candidate does not control or did not knowingly provide — scraped social-media/Internet data, or incidental data like facial micro-expressions, voice, and appearance — Concern 8 of Tippins, Oswald & McPhail (2021). Covers the loss of applicant control, job-irrelevance and "is it fair," reputation-scrubbing services and adverse impact, the absence of a clear legal/ethical rule, informed consent (Illinois AIVI Act), and the range of policy approaches. Triggers: "scraped social media hiring", "data outside applicant control", "facial appearance in hiring", "is it fair to use this data", "informed consent for AI hiring data", "online reputation scrubbing".

## Facts
- Page: https://tashan.sh/capability/skill-openmatter-network-ai-candidate-data-control
- tashan id: skill:OpenMatter-Network/ai-candidate-data-control
- Source: https://github.com/OpenMatter-Network/agent-io-skills
- Type: skill
- Category: security
- 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-candidate-data-control ~/.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.