Start here
🤖 Train an AI, right here
Train it for real, then break it →
Bias Detector Inspect a skewed dataset, name the bias, and fix it — where AI goes unfair, and how to catch it. Should You Trust the AI? Accept its answer, or check it yourself? Find where AI is strong and where it trips. More Every other activity: feature picking, train/test split, kits, duels and more. How are you feeling?
Think it through before you train
All activities
Show every activity, by group
Build & inspect AI
Train-a-Classifier Teach the model to sort examples, then see the rule it learned. Bias Detector Inspect a skewed dataset, name the bias, and fix it. Should You Trust the AI? Accept its answer, or check it yourself? Feature Picker Pick the clue that sorts the examples most cleanly. Confidence Meter Decide: let the AI call it, or send it to a human? Train / Test Split Test the AI on examples it has never seen.
Learn & practice
Concept kits 16 kits from "what is AI" to responsible-AI synthesis — a hint whenever you get stuck. Mixed Practice A short round shuffling questions from the kits you have played — spaced out so it sticks. AIForge Sprint Race your OWN best on what you already know. Timer optional, no penalty for a miss. Trick Questions Brain-teasers with a twist — spot why the obvious answer is a trap. Teach the Cast Teach an AI idea to a cast member still learning it — teaching makes it stick. Progress Your levels, days active, and how each topic is coming along — saved on this device. Progress report For grown-ups — a private on-device snapshot mapped to the skill areas. Export a CSV or print.
Play together
Concept Kits — AI literacy, kit by kit
Kit 1: What Is Artificial Intelligence? What is AI · 25 questions Kit 2: How Machines Learn: Patterns, Data, and Models Machine learning · 25 questions Kit 3: AI Ethics & Bias: Fairness in Algorithms Ethics & bias · 25 questions Kit 4: Data Privacy & Digital Citizenship Privacy & digital citizenship · 25 questions Kit 5: Computer Vision & Image AI Computer vision · 25 questions Kit 6: Natural Language Processing & Language AI Language AI · 25 questions Kit 7: AI and the Future of Work & Society AI & society · 25 questions Kit 8: Building Responsible AI Systems Responsible AI · 25 questions Kit 9: Machine Learning Basics Machine learning · 25 questions Kit 10: AI Ethics & Bias Ethics & bias · 25 questions Kit 11: Natural Language Processing Language AI · 25 questions Kit 12: Computer Vision Fundamentals Computer vision · 25 questions Kit 13: Cross-Topic Connections Review & synthesis · 25 questions Kit 14: Real-World Applications Real-world · 25 questions Kit 15: Misconceptions & Reasoning Reasoning · 25 questions Kit 16: Advanced Synthesis Review & synthesis · 25 questions
More ways to play
Same idea, another world
😄 Brain break
Meet the cast — the characters who teach this
-
Sort Classifier -
Feed Training data -
Skew Bias -
Edge Model limitations -
Stake Ethics -
Split Train/test split -
Cue Features -
Sure Confidence -
Mirage Hallucination -
Rote Overfitting
Ensemble stories — the cast together
What next? Pick a door
- More like this NeuralQuest What rule did your classifier find? RoboForge Which code gets the robot home? TokenTales What word will the model say next?
- A bit harder FlipbookForge Can a guess forget what it can't see? TraceForge What will this program print? BugTales Which line is the bug on?
- Something different InventForge What makes a machine reliable? RootsForge What will you ask your grandparent? DecodeForge Can you break this long word apart?