According to the text, what is a primary reason an AI might incorrectly infer that ice cream sales cause drowning incidents?

Answer

It fails to distinguish correlation from underlying causality without explicit instruction or context

An AI might correctly observe that two events increase simultaneously (correlation) but, lacking real-world context, may fail to infer the underlying shared cause, such as environmental variables like summer heat.

According to the text, what is a primary reason an AI might incorrectly infer that ice cream sales cause drowning incidents?
limitlearningintelligencecomputer science