Participants explore how machine learning systems are built by simulating the learning process themselves. Through structured activities, they design classification systems, test them, identify errors, and iteratively improve their “models.”
Within the planetary survival narrative, participants collaborate with an AI system to interpret unknown data and make critical decisions related to survival—learning how both humans and AI contribute differently to problem-solving.