Algorithmic Bias
~60 min · 15 stations
Algorithmic Bias is a self-paced learning path in Computer Science & AI, free to read, written at General Public / 9th Grade reading level. Across 15 structured stations, you will work through the core ideas step by step, each with a short quiz to check your understanding. By the end you will be able to identify core definitions regarding software prejudice; explain historical origins of modern data; evaluate mathematical models for measuring equity.
Conductor
Mind the gap between logic and human prejudice as we board. We are tracking the invisible biases inside modern software systems to see where the tracks might lead us.
What you will learn
Complete each station to unlock the next.
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