bailing1961/ResponsibleAI-4C

ResponsibleAI-4C

A public, synthetic-data demonstration that turns one AI use case into:

• —an illustrative risk tier;
• —a Correctness, Consistency, Currency and Coverage assessment;
• —prioritised governance gaps;
• —required controls and evidence expectations;
• —a human approval route;
• —a downloadable Responsible AI framework draft.

Important boundary

This demo is governance decision support. It is not legal advice, a compliance certification, an audit opinion or an automated approval. Do not enter confidential, personal or sensitive information into the public Space. All results require qualified human review.

The repository contains a deliberately small, illustrative public rule set and synthetic cases. It does not contain the commercial platform's private knowledge construction, enterprise evidence, workflow, integration or assurance implementation.

Local run

conda activate llmwiki
cd /d D:\llmwiki-chatGPT\ResponsibleAI-4C
python -m pip install -r requirements.txt
python tools\preflight.py
python app.py

Then open the local URL printed by Gradio, normally http://127.0.0.1:7860.

Tests

The deterministic engine tests use only the Python standard library:

python -m unittest discover -s tests -v

Public sources

• —Australian Government — Guidance for AI Adoption
• —Guidance for AI Adoption: Foundations
• —OAIC guidance on privacy and commercially available AI products
• —NIST AI Risk Management Framework
• —ISO/IEC 42001:2023 overview

Source links support professional review; they do not mean a demo rule fully implements or certifies the source framework.