Ai Transparency Labels

---
name: ai-transparency-labels
title: AI Transparency Labels
description: Generate standardized transparency labels for AI systems.
author: DTMC-marketplace
author_url: https://github.com/DTMC-marketplace/governance/tree/main/skills/ai-transparency-labels
license: Apache-2.0
version: 0.1.0
execution_mode: open
jurisdiction: eu
practice: regulatory
language: en
---

# AI Transparency Labels

**Category:** Trust
**EU AI Act Reference:** Art. 13, Art. 50
**Source:** methodology

## When to Use This Skill

Use this skill when:

- **AI Transparency Labels tasks** - Working on generate standardized transparency labels for ai systems
- **Compliance assessment** - Evaluating AI systems against Art. 13, Art. 50 requirements
- **Risk mitigation** - Implementing controls for trust risks

## Overview

Generate standardized transparency labels for AI systems. Document model capabilities, limitations, training data, intended use, and risk factors in accessible format.

## Key Requirements

### Regulatory Context (Art. 13, Art. 50)

This tool supports compliance with the following EU AI Act requirements:

1. **Assessment** - Evaluate current state against Art. 13, Art. 50 requirements
2. **Implementation** - Deploy appropriate controls and measures
3. **Documentation** - Record findings, decisions, and evidence
4. **Monitoring** - Establish ongoing monitoring and review processes

## Assessment Checklist

- [ ] Identify applicable Art. 13, Art. 50 requirements
- [ ] Assess current compliance status
- [ ] Document gaps and findings
- [ ] Develop remediation plan
- [ ] Implement required controls
- [ ] Verify effectiveness of measures
- [ ] Maintain ongoing documentation

## Integration Notes

**Source Type:** methodology
**Category:** Trust