To help improve the accuracy of generative AI, add speed bumps
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Introducing “targeted friction” into AI workflows can improve overall accuracy and reduce uncritical adoption.
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Introducing “targeted friction” into AI workflows can improve overall accuracy and reduce uncritical adoption.
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No matter how much raw talent an employee brings to the table, poor conduct can erase their gains.
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MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
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A new study examining the effect of Universal Basic Income (UBI) in Kenya shows that cash transfers improved recipients’ food security and health and these gains sustained through the policy responses
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A new study of financial advisors finds that middle managers are crucial to understanding the prevalence of misconduct.
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Here’s what two MIT business analytics students learned in the new From Analytics to Action class.
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A new study finds that artificial intelligence has been adopted unevenly in the U.S., with use clustered in large companies, industries such as manufacturing and health care, and certain cities.
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The annual list includes researchers studying the benefits of imposter syndrome and how to harness expertise from employees.
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The study offers U.S. policymakers a blueprint for a future round of COVID-19 stimulus.