Artificial intelligence makes decisions that affect real lives. But it also makes mistakes — often unfair ones. This project teaches children to look beyond the screen and understand that every machine error conceals a human choice.
Observe examples of AI errors in everyday life
Identify sources of bias in an AI system
Understand how training data shapes outcomes
Develop a critical perspective on automated systems
Real examples of famous AI errors
Exploring training data
Testing and identifying biases in a model
Debate and presentations
Short programme · 4 sessions
Request to join without choosing dates or paying now. Once at least 4 students are interested, our team will propose times that work for the group.
Submitting a request is non-binding.