ai-governance-lab / README.md
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metadata
title: AIGov AI Governance Lab
emoji: 🧭
colorFrom: blue
colorTo: indigo
sdk: static
pinned: false
short_description: Interactive AI governance engineering prototype
tags:
  - ai-governance
  - responsible-ai
  - ai-safety
  - compliance
  - risk-management

AIGov AI Governance Lab

An interactive static prototype for exploring observable governance signals in AI systems.

The lab evaluates engineering-level signals related to:

  • system impact
  • decision autonomy
  • human oversight
  • post-deployment monitoring
  • traceability
  • technical documentation

Purpose

The prototype demonstrates how AI governance requirements can be translated into observable and testable system controls.

It is intended as an engineering and educational demonstration.

It is not a legal compliance assessment and does not classify systems under any specific regulation.

Approach

AIGov treats governance as an engineering discipline.

The aim is to make governance requirements:

  • observable
  • testable
  • reproducible
  • traceable
  • integrated into technical workflows

Implementation

The application runs entirely in the browser using HTML, CSS and JavaScript.

No server-side compute or external API is required.

Limitations

The scoring model is deterministic and intentionally simplified.

A governance score should not be interpreted as a legal conclusion, regulatory classification, or validated measure of production-system risk.

AIGov

AIGov builds infrastructure for transparent, auditable, and accountable AI systems.

Website: https://govbase.dev

GitHub: https://github.com/AIGovDev

License

Apache-2.0