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Me, Myself, and AI: Daily Summaries Delivered
by MIT Sloan Management Review
Discover what separates AI success from AI hype. In this series from MIT Sloan Management Review, AI winners share their secrets and success游戏副本
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- 4 days ago33 min
AI for Interoperability in Health Care: Philips’s Carla Goulart Peron
On today's episode, Philips’s chief medical officer Carla Goulart Peron shares how artificial intelligence is reshaping health care — not by replacing clinicians but by expanding access, improving diagnostics, and freeing doctors to focus more time on patients. Drawing on her experience practicing medicine in Brazil’s strained public health system, she explains how technologies like AI-assisted imaging and remote collaboration can bridge critical gaps in care. Carla also explores the challenges of trust, bias, interoperability, and women’s health data in the next era of AI-enabled medicine. She offers a grounded, global perspective on how technology can make health care more human. Read the episode transcript here. Guest bio: Dr. Carla Goulart Peron is chief medical officer at Philips. A physician by training, she leads the global team shaping the health technology company’s medical strategy for achieving scientific excellence across medical affairs, clinical research, medical safety, and health economics. Before joining Philips, she was vice president and chief medical officer for surgical innovations and robotics at Medtronic. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
- 2 weeks ago40 min
A Need for Nuance: The Economist’s Andrew Palmer
On today’s episode, Andrew Palmer, senior editor at The Economist, describes how organizations can experiment with generative AI while balancing speed, quality, and risk. At his own organization, Andrew and others test AI with human oversight to develop editing and publishing efficiencies. As the host of The Economist’s Boss Class podcast, Andrew speaks with leaders as well as early-career professionals, and highlights interesting insights from recent conversations around skills and hiring. Read the episode transcript here. Guest bio: A senior editor at The Economist, Andrew Palmer writes about the workplace for the “Bartleby” column and hosts Boss Class, a limited-season podcast about management. His previous roles at the publication, which he joined in 2007, include Britain editor, executive editor, business-affairs editor, head of the data team, Americas editor, finance editor, and banking correspondent. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
- May 5, 202638 min
Behind the AI in the Newsroom: The Washington Post’s Vineet Khosla
In this episode, Sam speaks with Vineet Khosla, CTO of The Washington Post, about how AI is reshaping the way news is produced, delivered, and consumed. Vineet argues that journalism itself isn’t broken — but the formats people use to consume news are rapidly evolving, especially as audiences increasingly interact with information through AI. The conversation explores how the Post is experimenting with personalized AI podcasts, AI-powered research tools for journalists, and conversational news experiences that help readers understand not just what happened but why it matters and how it connects to other world events. Behind the scenes, the Post is deploying artificial intelligence across the entire organization, and Vineet shares details about the organization’s “AI everywhere” philosophy. Read the episode transcript here. Guest bio: Vineet Khosla, chief technology officer at The Washington Post, is a renowned AI engineer whose career has been marked by groundbreaking achievements. Before joining the Post in 2023, Khosla created Uber’s global maps routing system with cutting-edge AI tools. He was the first engineering hire for Siri’s natural language engine, and as a senior AI engineer with Apple, he played a central role in developing the core natural language understanding engine and the architectural framework that allowed the virtual assistant to operate on devices. Khosla has been working with AI since 2005 and is the holder of two patents and multiple white papers published on the subject. He earned a master’s in artificial intelligence at the University of Georgia and a bachelor’s in computer science at Pittsburg State University. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
- Apr 21, 202631 min
Industrial AI for the Physical World: Siemens’s Peter Koerte
In this episode, Sam talks with Peter Koerte, 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. Peter and Sam also discuss the importance of domain expertise, the value of data-sharing partnerships across companies, and why transformation is as much about people and workflows as it is about technology. Read the episode transcript here. Guest bio: As a member of the managing board, chief strategy officer, and chief technology officer of Siemens, Peter Koerte is responsible for developing the company’s strategy and leading its worldwide research and development activities. His current priorities include accelerating development of innovative sustainable technologies and continuing development of the Siemens Xcelerator business platform. Koerte previously headed Digital Health, a Siemens Healthineers unit that develops AI-supported diagnostic procedures for health care. He joined the corporate strategy side of the company in 2007 after working for the Boston Consulting Group. Koerte holds a master’s degree in business and engineering from the Karlsruhe Institute of Technology and a doctorate in strategy and international management from the WHU-Otto Beisheim School of Management. He also completed the General Management Program at Harvard Business School. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
- Apr 7, 202634 min
Disintegrating the Org Chart: ServiceNow’s Jacqui Canney
In this episode, Sam is joined by Jacqui Canney, chief people and AI enablement officer at ServiceNow. Jacqui outlines how the software company has embedded AI agents into processes like employee onboarding to automate tasks, personalize experiences, and free up people’s time to focus on higher-value work. She emphasizes that successful adoption of artificial intelligence requires strong change management, workforce training, and a focus on talent — not just technology — including companywide AI skill assessments and personalized learning paths. Tune in to learn why Jacqui sees AI as a human capital opportunity. Read the episode transcript here. *Please take our listener survey: mitsmr.com/podcastsurvey It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI." Guest bio: Jacqui Canney is the chief people and AI enablement officer at ServiceNow, where she leads the enterprise software company’s talent strategies for improving employees experience and preparing them for the future workforce through the use of technology and generative AI. Before joining ServiceNow in 2021, Canney served as chief people officer at WPP and Walmart. She previously worked at Accenture for 25 years. Canney currently sits on the board of directors for food delivery platform Wonder and nonprofit Project Healthy Minds. She’s also on the Institute for Corporate Productivity’s Chief HR Officer Board and Boston College’s board of trustees, and she cochairs the Boston College Wall Street Business Leadership Council. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
- Mar 24, 202630 min
Shifting AI From Fear to Optimism: U.S. Department of Labor’s Taylor Stockton
In this episode, Sam speaks with Taylor Stockton, chief innovation officer at the U.S. Department of Labor, about how artificial intelligence is reshaping the workforce. Taylor emphasizes that AI is having an economywide impact, transforming tasks within nearly every job rather than affecting only certain industries or specific roles. He stresses the importance of helping workers and businesses adapt. He also argues that AI literacy is becoming a foundational skill and should be prioritized alongside soft skills like relationship building, which will remain essential for differentiation in an AI-driven economy. Taylor calls for shifting the public narrative from fear to optimism, toward highlighting the ways that AI expands opportunity, mobility, and meaningful work, instead of deepening uncertainty. Read the episode transcript here. Guest bio: As the chief innovation officer of the U.S. Department of Labor, Taylor Stockton leads an exploration into how artificial intelligence and emerging technologies impact the labor market and American workers, as well as what new innovations can support workers in achieving the American dream. Stockton cofounded venture capital firm Pathway Ventures, which focuses on the future of work, and was the chief operating officer of an AI-powered workforce development company. He received his bachelor’s in management at Boston College and Master of Business Administration from Harvard Business School. *Please take our listener survey: mitsmr.com/podcastsurvey It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI." Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
- Mar 10, 202634 min
An Industry Benchmark for Data Fairness: Sony’s Alice Xiang
On today’s episode, Sam talks with Alice Xiang, global head of AI governance at Sony and lead research scientist for AI ethics at Sony AI, about what it actually takes to put responsible artificial intelligence into practice at scale. Alice shares how Sony moved early on AI ethics and why governance, not just principles, is now the real challenge as AI spreads across products and workflows. The conversation dives into FHIBE, Sony’s publicly available and ethically sourced benchmark for evaluating bias in computer vision, and why measuring fairness is often harder than fixing it. Along the way, they tackle data consent, “data nihilism,” and the very real risks of deploying biased systems in everyday and high-stakes contexts. Read the episode transcript here. Guest bio: As the global head of AI governance at Sony, Alice Xiang leads the team guiding the establishment of AI governance policies and governance frameworks across the company’s business units. She’s also the lead research scientist for AI ethics at Sony AI, which is working on cutting-edge sociotechnical research to enable the development of more responsible AI solutions. Xiang holds a Juris Doctor from Yale Law School, a master’s in development economics from Oxford University, and a master’s in statistics and bachelor’s in economics from Harvard University. *Please take our listener survey: mitsmr.com/podcastsurvey It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI." Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
- Feb 24, 202632 min
AI Is Not Improving Productivity: Nobel Laureate Daron Acemoglu
In this bonus episode, Nobel Prize-winning economist Daron Acemoglu joins Sam to challenge some of the most common assumptions about artificial intelligence’s future. Drawing on his book Power and Progress, Daron argues that technology doesn’t have a fixed destiny — and that today’s choices will determine whether AI boosts workers or simply accelerates automation and inequality. He makes a case for focusing on new tasks that complement human skills, rather than replacing them, and warns that current incentives push AI toward centralization and automation by default. The conversation tackles productivity myths, reliability risks, and why regulation should proactively steer AI toward social good. Read the episode transcript here. Guest bio: Daron Acemoglu is an institute professor at MIT, faculty codirector of the James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work, and a research affiliate at MIT’s newly established Blueprint Labs. He is an elected fellow of the National Academy of Sciences, American Philosophical Society, the British Academy of Sciences, the Turkish Academy of Sciences, the American Academy of Arts and Sciences, the Econometric Society, the European Economic Association, and the Society of Labor Economists. He is also a member of the Group of Thirty. He has authored six books, including Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity with Simon Johnson. His work in economics has been recognized around the world, notably with the Nobel Prize in economic sciences, along with co-laureates Johnson and James A. Robinson, in 2024. *Please take our listener survey: mitsmr.com/podcastsurvey It's short — we promise! — and all respondents will receive a free MIT SMR article collection, "Maximizing the Value of Generative AI." Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
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About Me, Myself, and AI
Discover what separates AI success from AI hype. In this series from MIT Sloan Management Review, AI winners share their secrets and success游戏副本
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