AI Explorations & Activities
Hands-on experiences for exploring how machines recognize patterns, learn from examples, reflect human choices, and support creative work.
Original activities
These three resources from the earlier page remain the starting point for exploring recognition, bias, and ethics.
Survival of the Best Fit
Explore how biased training data can shape automated hiring decisions. This activity supports discussion about fairness, data choices, and accountability.
Explore hiring biasMoral Machine
Compare difficult choices involving autonomous vehicles and reflect on how human values influence the decisions people expect machines to make.
Explore machine ethicsGoogle Quick, Draw!
Sketch prompted objects while a neural network tries to recognize them. Use the results to discuss training data, patterns, confidence, and misclassification.
Try Quick, Draw!More ways to explore AI
These additional experiences make machine learning visible through drawing, model training, sound, and creative experimentation.
Teachable Machine
Train a browser-based model to recognize images, sounds, or poses. No coding experience is required, making it a clear introduction to examples, labels, and testing.
Train a modelAutoDraw
Make a rough sketch and see how machine learning suggests polished drawings. Compare what the tool recognizes quickly with what it misunderstands.
Try AutoDrawBlob Opera
Shape pitch and vowel sounds while a machine-learning model harmonizes four animated voices. It is an approachable way to connect AI, music, and creative expression.
Create with soundGoogle Labs
Browse current Google experiments and prototypes to see how AI is being applied to creativity, learning, research, and building new tools.
Browse Google Labs