A practical, audit-ready AI governance starter pack designed for early-stage teams, students, and Responsible AI learners. Includes a Risk Register (Excel), governance documentation, helper sheets, and templates. Helps teams build structure, transparency, and accountability into AI systems from Day 1.

AI Risk Toolkit — Professional Governance Starter Pack (v1.0)

⭐ Overview

The AI Risk Toolkit is built for:

Early-stage AI teams
Founders adding AI features to products
Compliance, risk & assurance practitioners learning AI governance
Students and beginners exploring Responsible AI

This pack gives practical, plug-and-play governance tools without heavy enterprise complexity.

📦 What’s inside (v1.0)

AI Risk Register (Excel) — Automated scoring (Likelihood × Impact), heatmap visualisation, pre-built dropdowns and analytics.
Governance Guide (PDF) — Roles, responsibilities, lightweight workflows and checkpoints.
Helper Sheet (XLSX) — Formulas, lookup tables, and user instructions.
Templates — Policy & audit templates, stakeholder slide deck, and a prompt library.
README & assets — Full documentation, cover banner, and release notes (v1.0).

📥 Download v1.0

Get the complete toolkit (all files included) from the official release:

Download v1.0.0 — GitHub Releases

📸 Screenshots

Preview images (hero banner and Risk Register preview) are available inside the repository under /assets.

🧭 Roadmap (next)

Responsible AI checklist
Model card template
Sample AI use-case intake form
Smarter scoring automation & scripts
Polished landing page & Gumroad integration

🔍 Evidence-Based AI Fact Verification Framework

Effective AI evaluation requires distinguishing verified facts from assumptions, opinions, and unsupported claims. This framework demonstrates the structured approach I follow when reviewing AI-generated information.

Verification Workflow

Identify the exact factual claim.
Separate facts from opinions or speculation.
Locate authoritative and independent sources.
Compare multiple reliable sources when necessary.
Evaluate source credibility and publication date.
Document evidence supporting the conclusion.
Assign an evidence-based confidence level.

Preferred Sources

Government websites
Academic journals
Official organizations
Primary documentation
Recognized international institutions

Confidence Levels

High Confidence – Verified by multiple authoritative and independent sources with consistent evidence.
Medium Confidence – Supported by at least one reliable source but would benefit from additional verification or corroboration.
Low Confidence – Limited supporting evidence, conflicting sources, or unverifiable claims that require further investigation.

"AI-generated claims should only be accepted when supported by verifiable evidence from authoritative and independent sources."