UNDERSTAND
How does it work?
Patterns, training data, probabilities. Once you know the principle, no demo can dazzle you.
KNOWLEDGE IS
YOUR TOOL.
You do not need a tech job to understand AI. Curiosity is enough to start. The rest is practice, and you will find it here.
START HEREWHAT IS THE
WHAT IS THE
MACHINE DOING?
Patterns, training data, probabilities. An introduction without magic words, with exercises that make you think.
Open AI basics ↗02
Practice
03Prompting with intent
Task, context, format. And check what comes back.
Responsibility
04AI ethics
Data, bias, responsibility and the consequences of a decision.
Orientation
05Understanding models
Which models exist, what they can do and what to look for when choosing.
Take action
06Spot & report bias
Document incidents, make patterns visible, prepare a complaint.
Go further
Resources
Hand-picked resources on AI, privacy and queer topics.
READINESS MAP / WHAT MATTERS
APPLY
What actually helps me?
Good prompts, clear tasks, sensible limits. AI as a tool, not an oracle.
CHECK
Is that even true?
Cross-check sources, recognise hallucinations, notice bias. Plausible is not the same as true.
PROTECT
What am I giving away?
No sensitive data in other people's systems. Know what gets stored, and when it is better not to type anything.
ADVICE DECK / TAP TO FLIP
LEARNING THROUGH PLAY
All games ↗CURIOSITY YES.
AUTOPILOT NO.
A plausible sentence is not evidence. Check important claims against original sources, do not share confidential data and keep the decision with you.
Try it in the chat ↗