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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.
MIT Sloan Professor Erin L. Kelly, who is Co-Director of the MIT Institute for Work and Employment Research (IWER), has received the 2024 Ellen Galinsky Generative Researcher Award from the Work and Family Researchers Network.
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Workers need healthy challenge, complexity, and connection, automation expert Matt Beane argues in his book “The Skill Code.”
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Business experts can now design, develop, and deploy IT applications on their own, without the need for robust programming skills.
Zach Tan, a first-year doctoral student in the Economic Sociology research group at the MIT Sloan School of Management, has won the 2024 Rafel Lucea Memorial Research Award.
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Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.
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The OpenAI CEO talks artificial intelligence and regulation, AI and bias, AI and daily life, and more. For many reasons, he’s optimistic.
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Executives from financial services firms discuss early adoption of AI in the industry, reasons for caution, and the benefits of partnering with fintechs.
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Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
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How does access to a generative AI tool affect work in a call center? That was a research question addressed by MIT Sloan Professor Danielle Li at a recent session of the MIT Institute for Work and Employment Research (IWER) weekly seminar series.
