Concept

Example application of causal reasoning in AI

Refering to his work related to malaria.

Author argues, instead of merely correlating fever with malaria, machines need the ability to reason that malaria causes fever.

Once this kind of causal framework is in place, machines will gain the ability to ask counterfactual questions.

These counterfactual questions allow the automated modification of causal framework depending on the given intervention.

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Updated 2020-03-14

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Data Science