Why humans are essential to the second machine age
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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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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.”
Patrick J. McGovern (1959) Professor of Management, Professor, Information Technology
Henna Karna, EMBA ’18, discusses her journey through academia and her professional career, reflecting on how MIT Sloan's unique mix of quantitative and qualitative learning has influenced her work.
MIT Sloan Action Learning - In each project the ultimate goal is to improve the quality of healthcare and patient outcomes.
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Some automation displaces workers and lowers wages. A new report argues that taxing the right technologies could help remedy this.
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Chief data officers are preparing for generative AI while continuing to work on other data initiatives, according to a new survey.
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Faculty joining MIT Sloan in 2023 are experts in energy markets, machine learning, health care economics, and decision-making.
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Nobel laureate Daniel Kahneman thinks so when it comes to reducing noise.
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Organizations have options when it comes to using or adapting off-the-shelf large language models to handle tasks or business use cases.