If/Then

• What's Your Problem: "Teaching Computers to See"

  This week on If/Then, we’re sharing an episode of What’s Your Problem?, a show from Pushkin Industries where entrepreneurs, engineers, and scientists talk about the future they’re trying to build—and the problems they must solve to get there. Hosted by former Planet Money co-host Jacob Goldstein, each conversation explores the challenges and breakthroughs shaping the next wave of innovation.In this episode, Goldstein speaks with Fei-Fei Li, Stanford computer scientist, former Chief Scientist of AI and Machine Learning at Google, and one of the most influential figures in the field of computer vision. Li reflects on her pioneering work developing ImageNet, the massive dataset that helped spark the modern AI revolution, and the “north star” questions that have guided her research from neuroscience to machine learning.Together, they trace how a single insight about how humans see the world led to a paradigm shift in artificial intelligence—and how Li’s vision continues to shape the way we teach machines to see, learn, and collaborate with us.More Resources: • Fei Fei Li • Stanford Institute for Human-Centered Artificial Intelligence (HAI) • ImageNet • What’s Your Problem?If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.Chapters: (00:00:00) Introducing “What’s Your Problem?” Kevin Cool introduces the Pushkin Industries podcast hosted by Jacob Goldstein.00:00:45 — What Is Computer Vision? Jacob Goldstein and Fei-Fei Li explain how machines learn to see and interpret images.00:03:18 — Real-World Uses of AI Vision Li shares examples from healthcare, robotics, and environmental science.00:05:06 — Discovering the Science of SeeingHow human vision research inspired Li’s lifelong “north star” in AI.00:09:56 — Creating ImageNet Li builds a massive image database that transforms computer vision research.00:13:29 — Defining 30,000 Visual Concepts How cognitive science helped shape ImageNet’s massive scale.00:16:41 — Building the Dataset by HandLi's team uses global crowdsourcing to label millions of images.00:19:38 — The 2012 Breakthrough Jeff Hinton’s neural network shatters records and sparks the deep learning era.00:22:19 — Data Meets Hardware Li reflects on how big data and GPUs converged to power modern AI.00:24:55 — Lightning Round with Fei-Fei Li Quick insights on resilience, mentorship, and the future of human-AI collaboration.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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• GSB at 100: The Magic

  This week on If/Then, we’re sharing an episode of GSB at 100, a limited audio series created especially for Stanford Graduate School of Business’s Centennial. GSB at 100 presents a scrapbook of memories, ideas, and breakthroughs, as the GSB celebrates its first century and looks around the corner to what the next hundred years may hold.The first episode of the series begins where the GSB begins: in 1925, Herbert Hoover, a Stanford alum and future U.S. president, had an idea. “A graduate School of Business Administration is urgently needed upon the Pacific Coast,” he wrote. One hundred years later, what has Stanford Graduate School of Business accomplished, and what might its future hold? Listen in as professors reflect on founding principles, frontier technologies, and the magic that makes the GSB the place it is — and shapes what it aspires to be.If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.Learn more about the Stanford GSB CentennialSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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• View From The Top: “Lisa Su Is Still Curious About How Things Work”

  This week on If/Then, we’re sharing an episode of View From The Top: The Podcast, an audio series featuring leaders from around the world in conversation with MBA students. Recorded live at the CEMEX Auditorium at Stanford Graduate School of Business, episodes feature insights on effective leadership, the values that guide it, and lessons learned along the way.Lisa Su, the chair and CEO of Advanced Micro Devices (AMD), leads one of the world’s most influential technology companies, a pioneer in high-performance computing and designer of chips that power everything from cellphones to supercomputers.Su joins Michael Liu, MBA ’25, to talk about what it takes to stay on the cutting edge of technology, the tremendous potential of artificial intelligence, and why her superpower may be her commitment to learning.“Careers are very much by chance,” Su says. “The nice thing about my early career is I was lucky enough to have bosses who asked me all the time, ‘What do you want to be when you grow up?’ And I was like, ‘I don't know. Let me think about [it]...what I like to believe is the ability to learn at each step was what really helped me in my career.”This conversation was recorded on February 24, 2025. More Resources: • Lisa Su • GSB Insights • View From The Top If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.Chapters: (00:00:00) Introduction Kevin Cool introduces a summer spotlight on other podcasts, featuring View from the Top.(00:00:59) Meet Lisa Su Michael Liu introduces Lisa Su, AMD CEO, and highlights her career transformation.(00:04:13) Growing Up & MIT Years Lisa reflects on her immigrant upbringing and her journey through three degrees at MIT.(00:05:43) Discovering Semiconductors A part-time lab job at MIT ignites Lisa’s passion for chip technology.(00:07:21) From Engineer to Leader Lisa describes her transition from technical work to managing people and projects.(00:11:19) Tackling Hard Problems How curiosity and teamwork help Lisa embrace high-stakes technical challenges.(00:13:40) Betting on Talent Lisa recounts moments when she was given a chance—and how she now pays that forward.(00:17:03) Becoming CEO at AMDWhat brought Lisa to AMD and the unexpected call to lead the company.(00:21:51) Strategy in a TurnaroundHow AMD focused on high-performance computing and long-term bets.(00:25:41) Cultural Shift at AMD Lisa outlines how AMD’s culture became collaborative, ambitious, and learning-driven.(00:27:19) AI & Global Tech PoliticsThe complex intersection of AI innovation and geopolitical regulation.(00:32:37) Open vs. Closed AI PlatformsAMD’s open-source AI approach with NVIDIA’s more vertical model.(00:38:54) Future Vision & Final ReflectionsLisa offers advice to MBAs and shares what she wants her legacy at AMD to be. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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• The Joy of Discovery and Why Research Matters

  As we celebrate the conclusion of the second season of the If/Then podcast, we present a bonus episode featuring Deborah H. Gruenfeld, the Joseph McDonald Professor and Professor of Organizational Behavior and a Senior Associate Dean for Academic Affairs at Stanford Graduate School of Business. Gruenfeld, who appeared on the first season of If/Then in an award-winning episode about hierarchies and the nature of power, returned to the studio to share her thoughts on the value of academic research and its impact on individuals and organizations. “The nice thing about research is that it provides tools and methods and an approach to learn about what’s true in the world, taking into account that what we learn from firsthand experience is not reliable,” she says. “Research helps us build a body of knowledge about what's actually true that we can trust.”This episode was recorded on July 16, 2025.Related Content:Deborah H. Gruenfeld, faculty profileWhy Research MattersWhy I Research: Findings Fueled by the Head and the HeartIf/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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• The Future of Everything: "The Future of Motivation"

  This week on If/Then, we’re sharing an episode of The Future of Everything, a podcast hosted by Stanford School of Engineering professor and friend of the show Russ Altman.Everyone has goals — some are monumental, others modest — but every goal matters. Szu-chi Huang, an associate professor of marketing at Stanford Graduate School of Business, is an expert on sustaining enthusiasm for individuals, customers, and employees across global corporations and organizations.On this episode, Huang shares what it takes to stay motivated over time — not just at the beginning of a goal, when energy runs high, or at the end, when the finish line is in sight, but through the toughest part: the middle. She explains why motivation is a dynamic process that requires different tools at different stages, and offers practical advice drawn from her research on everything from retirement savings and loyalty programs to children’s health and social apps. Along the way, she and Altman explore how purpose, progress, and even a little social pressure can help us keep going — and how AI might someday coach us through.More Resources: Szu-chi Huang, faculty profile & If/Then episode Russ Altman, faculty profile The Future of EverythingIf/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.Chapters:(00:00:00) IntroductionRuss Altman introduces Szu-Chi Huang, professor of marketing at Stanford GSB.(00:03:31) Studying MotivationSzu-chi shares what led her to study motivational science(00:04:03) Defining MotivationMotivation as the drive to close the gap between current and ideal self.(00:04:57) The Science of MotivationStudying motivation through behavioral and neurological data.(00:05:48) Why It Matters in BusinessHow motivation science applies to leaders, teams, and customers.(00:06:39) Motivation FrameworkThe strategies needed in order to stay motivated over time.(00:07:42) The Mindset of MotivationThe different mindsets needed throughout the stages of motivation.(00:09:21) Motivating Kids to Choose HealthyA Collaboration with UNICEF to study what motivates children.(00:10:55) Gamified Coupons in PanamaA study using gamified coupons to influence children's food choices.(00:14:26) Loyalty Programs as MotivationHow customer reward programs act as structured goal journeys.(00:16:47) Progress Versus PurposeThe different incentives needed in each stage of loyalty programs.(00:18:29) Retirement Saving LessonsHow financial institutions apply motivational science to long-term goals.(00:21:12) Motivation in Social ContextThe role of social connections in goal pursuit and sustaining motivation.(00:26:10) Designing Apps for MotivationHow redesigning user interfaces can help users stay motivated.(00:27:20) AI as a Motivation CoachUsing AI to personalize feedback across all stages of goal pursuit.(00:30:09) Starting and Sustaining a GoalPractical strategies for launching and sustaining a goal.(00:31:57) ConclusionSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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