# human-ai-governance

> human-ai-governance — miguelferre-human-ai-governance. Use this tool when you need to audit and ensure responsible human-AI interaction in high-stakes AI systems, solving problems of over-trust and automation bias. It provides evidence-anchored findings and mappings to regulatory frameworks like the EU AI Act and NIST AI RMF through a command-line interface, server, and inspection evaluation. Use it to implement human oversight and correction mechanisms in AI systems, promoting trustworthy and reliable AI decision-making.

Canonical page: https://skillsregistry.net/skills/miguelferre-human-ai-governance  
JSON: https://api.skillsregistry.net/v1/skills/miguelferre-human-ai-governance

## Description

Audit the human-AI interaction layer of an AI system against HAX-18 (Microsoft) and PAIR (Google): evidence-anchored findings on over-trust, automation bias, correction and alert timing, mapped to the EU AI Act & NIST AI RMF. CLI + MCP server + Inspect AI eval. Human oversight for high-stakes AI.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/miguelferre/human-ai-governance)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "miguelferre-human-ai-governance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/miguelferre-human-ai-governance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/miguelferre-human-ai-governance/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
