Have you ever heard of “algorithm aversion?” Researchers describe it as being when people trust their own conclusions over the results of an algorithm, even when the algorithm is shown to perform better. You see this in action when doctors scoff at online symptom checkers or lawyers hesitate to use predictive coding. So, what drives this aversion? A few theories on why machine intelligence is off-putting to many:

Confirmation Bias

The Fallacy: This is the “tendency for people to (consciously or unconsciously) seek out information that conforms to their pre-existing view points, and subsequently ignore information that goes against them.”