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The work tasks that AI is least likely to replace are those that depend on uniquely human capacities, such as empathy, judgment, ethics, and hope.
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Leaders must rethink the way they manage people and projects to ensure that everyone reaps the efficiency and innovation benefits of generative AI.
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A combination of AI and humans works best in tasks where humans outperform AI and in those that involve creating content.
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To foster a data-centric culture, adopt the right technology, improve data literacy, and don’t be afraid to disrupt the status quo.
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When software developers were given access to an AI coding tool, productivity increased — particularly among newer hires and more junior employees.
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Generative AI’s broad accessibility and applicability make it a vital tool for businesses — but those traits can also cause trouble when upskilling employees.
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Machine learning can drive climate action initiatives, but its widespread use could have negative implications, according to Climate Change AI’s Priya Donti.
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From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
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2 MIT researchers say we’ve got to rethink mind and machine, product and platform, and core and crowd.
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Work against algorithmic bias and climate change challenges “status quo … preoccupied with reproducing itself.”
