Fast facts: Differences in human vs machine generalisation

Humans excel at compositionality and robust generalization.

Humans can learn from few examples due to strong common sense priors.

Statistical AI systems struggle to generalize beyond their training distribution.

AI generalization is often driven by correlations rather than causal inference.

Human generalization involves abstraction and concept learning.