Scientists are increasingly concerned that the lack of reproducibility in research may lead to, among other things, inaccuracies that slow scientific output and diminished public trust in science. Now, a team of researchers reports that creating a prediction market, where artificially intelligent—AI—agents make predictions—or bet—on hypothetical replication studies, could lead to an explainable, scalable approach to estimate confidence in published scholarly work.
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Tech News 1: Scientists tap AI betting agents to help solve research reproducibility concerns
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