Knowledge Map
Frameworks
NIST AI Risk Management Framework
The definitive US government framework for responsible AI. GOVERN, MAP, MEASURE, MANAGE — all 7 trustworthiness characteristics, key terminology, and client talking points. Fully interactive.
Regulation
EU AI Act
Risk tiers, prohibited uses, conformity assessments, GPAI obligations, and how it maps to the NIST RMF. The world's first binding AI law.
Concepts
AI Trustworthiness
A deeper dive into the seven characteristics — with real-world tradeoff examples and decision frameworks for navigating them in practice.
Strategy
AI Governance for Boards
What board-level AI oversight looks like in practice. The 4 pillars, the questions every director should ask, roles and structures, and client talking points.
Tools & Methods
AI Impact Assessment
How to conduct a structured AI impact assessment. The 6-step process, harm analysis, stakeholder mapping, and documentation that holds up to scrutiny.
Strategy
Responsible AI Maturity
Five levels from ad hoc to optimising. Benchmark where an organisation sits, understand what the next step looks like, and use the interactive self-assessment with clients.
Concepts
Bias, Fairness & Equity
The three bias categories, six fairness metrics and why they conflict, mitigation at every lifecycle stage, and real-world cases from hiring to criminal justice.
How to use this
1
For your own learning
Bookmark this page. Each node is built to be re-visited — tabs for overview, deep content, terminology, and talking points. Five minutes before a meeting refreshes everything you need.
2
In client conversations
Open a node on your phone or laptop and walk through it with a client. The interactive format makes abstract frameworks tangible. The terminology tab is your shared vocabulary.
3
As a portfolio piece
Share the URL. Each node demonstrates depth of knowledge in a format clients can explore themselves — far more credible than a slide deck or a PDF no-one reads.