Why machine learning struggles with causality

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Why machine learning struggles with causality

Why machine learning struggles with causality

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence.

When you look at the following short video sequence, you can make inferences about causal relations between different elements. For instance, you can see the bat and the baseball player’s arm moving in unison, but you also know that it is the player’s arm that is causing the bat’s movement and not the other way around. You also don’t need to be told that the bat is causing the sudden change in the ball’s direction.

Likewise, you can think about counterfactuals, such as what would happen if the ball flew a bit higher and didn’t hit the bat…”

Source: bdtechtalks.com/2021/03/15/machine-learning-causality/

March 18, 2021
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