Bias in AI Systems

If training data is biased, AI will be biased; examples: facial recognition working better for some skin tones, translation assuming gender; where bias comes from and whether we can fix it

Usually learned at ages 9–11

Builds on: AI Mistakes and Limitations, Machine Learning Basics

Nothing here yet in this language. Add the first explanation with your AI.

On the map from: Marble Skill Taxonomy (v1), © Generative Spark, Inc. (withmarble.com), text CC BY-SA 4.0, database ODbL 1.0: https://github.com/withmarbleapp/os-taxonomy