Why should you care?
It utilizes causality to go beyond narrow machine-learning predictions and can be directly integrated into human decision-making.
Causal AI identifies the underlying web of causes of a behaviour or event and furnishes critical insights that predictive models fail to provide.
It also makes it possible to model interventions that can change those outcomes by using causal AI algorithms to ask what-if questions.
By integrating causal AI with human expertise, programs can avoid the mistakes that arise when people—or the machines or software they create—ignore crucial contexts or fall into the trap of mistaking correlation for causation.
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