When asked to evaluate how good we are at something, we tend to get that estimation completely wrong. It’s a universal human tendency, with the effect seen most strongly in those with lower levels of ability.
Called the Dunning-Kruger effect, after the psychologists who first studied it, this phenomenon means people who aren’t very good at a given task are overconfident, while people with high ability tend to underestimate their skills. It’s often revealed by cognitive tests — which contain problems to assess attention, decision-making, judgment and language.
But now, scientists at Finland’s Aalto University (together with collaborators in Germany and Canada) have found that using artificial intelligence (AI) all but removes the Dunning-Kruger effect — in fact, it almost reverses it.
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