To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
Descripción general
Resumen del artículo
Cognitive forcing interventions can significantly reduce overreliance on AI in decision-making compared to simple explainable AI approaches. However, there's a trade-off: users find the more effective interventions less acceptable and less trustworthy, and the benefits seem to primarily accrue to those with high need for cognition, potentially exacerbating existing inequalities.
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Scientists found that making people think hard before using computer help stops them from trusting the computer too much. But, people don't like or trust the computer as much when they have to think hard, and it mostly helps kids who already like thinking.
Posibles conflictos de intereses
None identified
Limitaciones identificadas
Explicación de la calificación
This is a well-designed study that makes a valuable contribution to the field of explainable AI by introducing and evaluating cognitive forcing functions as a method to reduce overreliance on AI. The experiment is rigorously conducted, and the analysis is thorough, including an important investigation of potential intervention-generated inequalities. However, limitations regarding the use of a simulated AI, a single task domain, and an MTurk sample prevent a perfect score.
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