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AI Bingo turns a familiar game into a way to ask how artificial intelligence works: for each system on the card, what is it trying to predict, and what data might it use? The activity comes from an MIT Media Lab curriculum for middle-school students and can be played at home with a parent, sibling or friend.
What you need to play AI Bingo
- A bingo card with squares naming AI systems. You can use the cards in MIT’s “An Ethics of Artificial Intelligence Curriculum for Middle School Students”, or make a simple list of familiar systems and mark off squares as you discuss them.
- At least two players. In the original classroom activity, students partner up; at home, a parent can play with a child, or siblings can pair up.
- About 30 minutes. That is the duration given for AI Bingo in the MIT curriculum.
The MIT version was designed and tested for approximately grades 5–8. MIT Full STEAM Ahead also lists an AI Bingo activity among its K–5 activities, but that does not mean the middle-school worksheet was validated for every age.
How to play
- Explain the goal. A square counts when a player can identify an AI system they or their partner has used and discuss what it predicts and what data it might use.
- Take turns asking about squares. For each one, name the particular task rather than treating an entire app, game or service as a single AI system. Ask: “What is it trying to predict?” and “What information might help it make that prediction?”
- Mark squares you can explain. The original classroom game has students find a partner who has used a listed system and work out its prediction and possible dataset.
- Set the win condition. The MIT curriculum says, “The first student to get five squares filled out in a row, diagonal, or column wins (or, for longer play, the first student to get two rows/diagonals/columns).”
- Discuss the completed cards. Compare which systems came up and what players thought each one predicted or learned from.
Model one square before you start
Use a recommendation feature as an example. Ask what it is predicting: perhaps which video a viewer might choose next. Then ask what data could inform that guess, such as videos watched or skipped. Emphasize that this is a possible explanation, not a claim about the exact data used by any particular service. The useful habit is to identify the prediction and consider what information could support it.
Children may name a whole product when only one feature is relevant. A video app, for example, can contain many tools; the bingo discussion should focus on the specific feature and task being considered. This keeps the conversation about how a system works rather than whether a familiar brand is “AI.”
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What to talk about after the game
- Predictions are not magic. AI systems can use data and a learned method to make predictions about inputs or situations; they are not people inside devices.
- Ask what the data represents. A prediction depends partly on the information used to develop or operate a system. Asking what data might be involved is a practical way to reason about how it works.
- Data and goals reflect human choices. The MIT curriculum asks students to consider how training data affects accuracy, how dataset composition can create bias, and how people shape system goals and experience their effects. For a family discussion, ask who might be missing from the data or who could be helped or disadvantaged by the system’s goal.
The activity is intended to support discussion and basic AI literacy. The cited sources describe its objectives and directions, but do not report measured learning gains from this particular bingo game.
Where to find the activity and what to try next
The AI Bingo activity appears in Blakeley H. Payne’s MIT Media Lab curriculum, supervised by Cynthia Breazeal and dated August 2019. The curriculum includes introductory slides and printable cards. MIT Full STEAM Ahead separately lists AI Bingo among its K–5 activities.
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For more guided family conversations, Common Sense Education and Day of AI offer a free AI Literacy Toolkit for Families with short videos, activity guides, conversation cards and a glossary. Its topics include AI, privacy, fairness, responsibility and using AI wisely for school success.
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- Seamless Spin: Equipped with a 6” bingo cage with a protective black finish, this Bingo kit ensures fair play with random ball selection. The weighted selector prevents jams, while the wide catch keeps the balls organized and spill-free.
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