The camp uniquely focuses on understanding AI model failures and the source of confidence in models, rather than just prompting chatbots, ensuring a deeper and more lasting skill set.
The Ellis Abel Learns AI Summer Camp in San Diego is a one-week day camp for children aged 10-14, focusing on practical AI model understanding. Students will engage in hands-on activities where they train small classifiers and observe their failures on unanticipated data. The curriculum emphasizes understanding where confidence in AI models originates, a skill designed to be more enduring than specific tools. The camp aims to move beyond simply prompting chatbots, instead having students build and break small models, label their own datasets, and identify biases they inadvertently introduce. The daily activities include understanding what a model is (using objects, not code), labeling personal datasets, training models and identifying failures, fixing data rather than the model, and showcasing the discovered failures.
A typical day involves understanding AI models through objects, labeling data, training models, identifying and fixing failures, and showcasing their findings.
This camp is ideal for children aged 10-14 who are curious about how AI works, are interested in hands-on building and problem-solving, and want to understand the limitations and biases of AI models.
San Diego, CA
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