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Generative artificial intelligence is a game changer, but it’s not for every task. Here are four ideas to consider from an MIT labor economist.
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An MIT expert on why distributed ledgers and cryptocurrencies have the potential to affect every industry.
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What are deepfakes, and how business leaders can learn to identify and protect against them.
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From how recommendation engines work to how misinformation spreads on social media, here are four books from MIT Sloan that made some sense of 2020.
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What we learned about hybrid work this year, and what to do next.
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New books about the future of AI, working remotely, the COVID-19 vaccine, and how to build the perfect portfolio.
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Banks should be reopened first, while cafes and gyms should come much later; places of worship should be opened after colleges and universities, according to the analysis.
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Blockchain adoption hinges on finding the right use cases, creating a strategy and focus, and galvanizing staff.
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Ideas about how to best deploy generative artificial intelligence, how it will affect the workforce, and how it should be regulated.
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How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.
