Bringing transparency to the data used to train AI
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Using the wrong datasets to train AI models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.
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Using the wrong datasets to train AI models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.
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Journalistic truth isn’t dead, a new study has found, but socioeconomic factors affect people’s ability to identify real news.
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Dimitris Bertsimas and Nikolaos Trichakis modeled a points-based framework called continuous distribution (CD) based on AI and machine learning to aid in allocating lung transplants.
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The team will be honored at the GCFP annual conference in September in Cambridge, MA.
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New research suggests that taking a 30-minute nap during work can increase productivity and prompt more deposits into your savings account.
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Two experts from Toyota clear the air on lean management principles.
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Many experts and observers blamed 2022’s high inflation on the pandemic’s backlogged supply chain. New research shows that assessment is inaccurate.
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Attentive managers move workers when their environments get too toxic, new research finds.
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A recent study by MIT Sloan School of Management Prof. David Rand and Prof. Gordon Pennycook of the University of Regina finds there is a possible solution to false news: crowdsourcing.
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MIT Sloan School of Management will host an MIT Sloan Idea Exchange alumni conference on April 25, 2019 in New York City.