Business and management

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Learner collaborates with MIT peers to develop book of AI insights

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Like many leaders today, Prabha Jha has been feeling the significant impact artificial intelligence is having on business operations. While the rapid evolution of the technology can bring fear, uncertainty, and confusion, Jha chose a different response: excitement. She began asking herself, “How do I become part of this once-in-a-lifetime thing?” Jha holds a bachelor’s degree

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The effects of an “algorithmic monoculture” depend on the details

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Business and management, Computer science and technology, Electrical engineering and computer science (EECS), Human-computer interaction, Labor and jobs, Laboratory for Information and Decision Systems (LIDS), Linguistics, Machine Learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, Philosophy, Research, School of Engineering, School of Humanities Arts and Social Sciences

AI tools are increasingly replacing human judgements in some settings. For instance, resume screening algorithms are often used in hiring, where they may improve efficiency and consistency in decision-making.But some scholars have raised concerns that the adoption of automated systems could eventually result in one algorithm being used to make all decisions in a particular

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Q&A: Rethinking how innovation happens

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Innovation is a concept that has become mythologized in the modern era: what it is, how to manage it, how to teach it, and how to get it to work for us. Despite these explorations, it remains fundamentally misunderstood, writes Eugene Fitzgerald, the Merton C. Flemings SMA Professor in MIT’s Department of Materials Science and

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Q&A: Rethinking how innovation happens

ai, AI (Artificial Intelligence), Artificial Intelligence, Books and authors, Business and management, DMSE, Faculty, Innovation and Entrepreneurship (I&E), Interview, Invention, School of Engineering, semiconductors, Singapore-MIT Alliance for Research and Technology (SMART)

Innovation is a concept that has become mythologized in the modern era: what it is, how to manage it, how to teach it, and how to get it to work for us. Despite these explorations, it remains fundamentally misunderstood, writes Eugene Fitzgerald, the Merton C. Flemings SMA Professor in MIT’s Department of Materials Science and

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Helping AI models to meet the real world

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Systems using artificial intelligence to enhance forecasting, planning, and decision-making in businesses have been proliferating in recent years, but in many cases, they lack the detailed, specific information about the organization itself, limiting the usefulness of those tools. Devavrat Shah, a principal investigator at MIT’s Laboratory for Information and Decision Systems (LIDS), faculty member with the

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How MIT students are helping to prevent cyberattacks

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In May 2019, the government of Baltimore, Maryland, fell into chaos. Cybercriminals had locked the city out of many of its critical files and demanded payment to decrypt them. The city refused to pay ransom. The attack incapacitated a swath of services, including real estate transactions and bill payment, and recovery costs soared into the

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MIT researchers teach AI models to interpret charts

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To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial intelligence models to help summarize and interpret the charts that often fill market summaries and financial reports.But even the latest vision-language models sometimes struggle with this task, since it requires a model to integrate visual, numerical, and linguistic understanding. A

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Study: Firms often use automation to control certain workers’ wages

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When we hear about automation and artificial intelligence replacing jobs, it may seem like a tsunami of technology is going to wipe out workers broadly, in the name of greater efficiency. But a study co-authored by an MIT economist shows markedly different dynamics in the U.S. since 1980. Rather than implement automation in pursuit of maximal

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On algorithms, life, and learning

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From enhancing international business logistics to freeing up more hospital beds to helping farmers, MIT Professor Dimitris Bertsimas SM ’87, PhD ’88 summarized how his work in operations research has helped drive real-world improvements, while delivering the 54th annual James R. Killian Faculty Achievement Award Lecture at MIT on Thursday, March 19.Bertsimas also described how

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Creating AI that matters

Algorithms, Artificial Intelligence, Business and management, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Electrical engineering and computer science (EECS), IDSS, Industry, Machine Learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering, Technology and society

When it comes to artificial intelligence, MIT and IBM were there at the beginning: laying foundational work and creating some of the first programs — AI predecessors — and theorizing how machine “intelligence” might come to be.Today, collaborations like the MIT-IBM Watson AI Lab, which launched eight years ago, are continuing to deliver expertise for

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