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Beyond the Model — Why Responsible AI Must Address Workforce Impact

Topics Responsible AI The Responsible AI initiative looks at how organizations define and approach responsible AI practices, policies, and standards. Drawing on global executive surveys and smaller, curated expert panels, the program gathers perspectives from diverse sectors and geographies with the aim of delivering actionable insights on this nascent yet important focus area for leaders across industry. More in this series For the fifth year in a row, MIT Sloan Management Review and Boston Consulting Group (BCG) have assembled an international panel of AI experts that includes academics and practitioners to help us understand how responsible artificial intelligence (RAI) is being implemented across organizations worldwide. In prior years, we examined […]

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Industrial AI for the Physical World: Siemens’s Peter Koerte

In this episode of the Me, Myself, and AI podcast, host Sam Ransbotham talks with Peter Koerte, a member of the managing board and chief strategy and technology officer of Siemens, about how industrial AI is quietly transforming the infrastructure that powers everyday life. While consumer AI grabs headlines, Peter explains how artificial intelligence is improving factories, transportation systems, energy grids, and buildings behind the scenes. The conversation explores what makes industrial AI different — from the need for near-perfect accuracy to the challenge of working with proprietary, domain-specific data. Peter shares examples like predicting train door failures days in advance, optimizing building energy use, and accelerating complex engineering simulations. […]

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When Apologizing to Customers Hurts More Than It Helps

Long before technology enabled firms to identify and address service failures in real time, Fred Taylor Jr. earned an unusual nickname from a reporter: “Chief Apology Officer.” At Southwest Airlines, he championed a then-radical idea—don’t wait for customers to complain. Instead, build a team that reaches out first, acknowledges disruptions, and says sorry before frustration boils over. #Apologizing #Customers #Hurts #Helps

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How AI Helps the Best and Hurts the Rest

Topics Frontiers An MIT SMR initiative exploring how technology is reshaping the practice of management. More in this series Mark Shaver/theispot.com Summary: Can generative AI serve as an on-demand business adviser? A field experiment with hundreds of small business owners in Kenya found that AI access boosted revenues and profits by 15% for high performers — but caused a nearly 10% decline for those who had already been struggling. The culprit: Weaker performers followed generic or misleading AI advice because they lacked the judgment to filter it out. Leaders deploying AI at scale must design their rollouts carefully to avoid widening performance gaps. Listen to “How AI Helps the Best […]

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The Challenges of Scaling a Technology for Social Good

BRIAN KENNY: Welcome to Cold Call, the podcast where we dive deep into the groundbreaking ideas behind Harvard Business School case studies. Access to safe sanitation is something many of us take for granted. We flush, we wash our hands, and we move on. But for more than three billion people around the world, that basic routine is anything but routine. The consequences extend far beyond inconvenience into public health, gender, equity, urban infrastructure, environmental sustainability, and economic development. Today’s case explores what happens when engineers attempt to reinvent one of the most entrenched pieces of infrastructure in modern society: the toilet. Not just to improve it incrementally, but to […]

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5 Questions Leaders Should Ask Before Turning to Fractional Work

Even the most experienced senior leaders may be concerned about their future job prospects amid the relentless onslaught of AI-related layoff news. Much has been written about AI’s impact on early-career jobs and the disappearing middle manager, but leaders are also feeling less agency and more layoff anxiety. #Questions #Leaders #Turning #Fractional #Work

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