Across four experiments, pooling group judgements improved deepfake detection while confidence weighting hurt accuracy and people readily followed incorrect algorithmic ...
A massive new study finds that groups of AI agents align with majority human moral judgment through independent voting rather ...
Researchers show that recalibrating crowdsourced probability judgments with a cognitive model of human bias makes medical image datasets and the ...
MIT researchers mathematically show that the harms of algorithmic monoculture in hiring depend on design details, with ensemble algorithms potentially ...
A new study in Nature Communications is drawing attention to a deceptively simple idea with potentially far-reaching consequences: groups may ...
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