representAI
Choices, learning & prediction

Can AI represent your preferences?

From politics to everyday peeves and favorite flavors. Choose an experiment, make comparisons, and test predictions on new pairs.

Choose an experiment
About 5 minutes· No account needed
✳ Put predictions to the test.
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Your choices
YOU
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AILearning patterns
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A prediction
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Human preferences. Machine predictions.

ONE METHOD, MANY QUESTIONS

Choose an experiment

Each experiment is a separate anonymous run. Learning and results stay within that study and version.

Political choices

Which fictional policies do you prefer? See how well models predict your later choices.

10 learning pairs · 10 unseen test pairs

Start experiment

Ice cream preferences

Chocolate, vanilla, or pistachio? Make flavor choices and test the models on unseen pairs.

10 learning pairs · 10 unseen test pairs

Start experiment

Everyday annoyances

Mosquitoes, traffic, or ads? Compare everyday annoyances and test how predictable your dislikes are.

10 learning pairs · 10 unseen test pairs

Start experiment
Your choices. New questions.

THE EXPERIMENT

You choose. AI learns. You put it to the test.

A simple experiment with a surprisingly big question.

01

Make your choices

Compare pairs of items in the experiment you choose. No names, contact details or demographic questions.

02

Let the models learn

Models learn from the first round. Personal transitivity uses only your own choices; cross-user models use earlier completed runs of the same study and version.

03

See how they did

Answer new pairs held out from your learning round. Predictions are saved before each pair is shown, then compared with your answers.

Explore the method.

These demonstrations explain the participate, train, test method. They are not presented as ethics-approved research studies. Participation is voluntary; no account is needed.

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DEMONSTRATION STUDYDemonstration content · Local models · Real choices