Control Blueprints · AI Risk Explorer
Seven questions in a fresh practical scenario
Explore AI risks through a recognizable situation. Receive one question at a time, then see the explanation and related risk cards after answering.
7 questions · 15 starter factors
Your choices are processed in a temporary game session on this website. A protected session cookie keeps your place for up to two hours. No customer dossier is created. Do not enter personal information.
How does this exploration work?
Your session receives a practical scenario, question variants and a shuffled order. Every session covers the same fifteen starter factors. Answer from the scenario shown or what you know about your own application. Unknowns remain unknown.
A fresh perspective each session
- Customer contact and service
- Knowledge for employees
- Operational tasks and tools
Scenario, wording and order can differ in a new session. The knowledge base and explanation boundaries stay the same.
This exploration covers your own use of AI and fifteen starter factors. Answers are self-reported, not a risk score, audit or evidence that your AI is safe.
Source: AI Risk Map v1.3 by Evan Wheeler. Questions and Dutch labels are adaptations by DataInbox under CC BY-SA 4.0. AI Risk Map v1.3 · CC BY-SA 4.0
Explore the AI Context & Control CheckContent Inbox · working example
From a LinkedIn tip to usable AI knowledge
A tip becomes useful when its source, meaning and application stay together. The AI Risk Explorer shows that journey: from a shared reference to checked knowledge and a working Blueprint.
- LinkedIn tip
A tip as a starting point
A shared LinkedIn tip prompts a closer look at the underlying source.
- GitHub · AI Risk Map
Keep the source attached
AI Risk Map v1.3 by Evan Wheeler stays linked to its source version, licence and references.
- DataInbox
Make knowledge usable
Fifteen starter factors have reviewed explanations, NL/EN search terms and follow-up questions.
- Control Blueprints
A useful Blueprint
Seven questions show relevant explanations and risk cards, one confirmed answer at a time.
This shows the Content Inbox pattern in practice. You can already use the question game; registration of this Blueprint in DataInbox is still pending.
Explore the Content Inbox patternFrom source to working experience
This timeline shows recorded source, build and verification events. A source reference differs from a verified execution.