MIT Open Aggregated Podcast Feed

MIT Open Aggregated Podcast Feed

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MIT Open Aggregated Podcast Feed episodes

  • Overcoming AI Hallucinations: Truist’s Chandra Kapireddy
    In today’s episode, Chandra Kapireddy, head of generative AI, machine learning, and analytics at Truist, delves into the evolving landscape of AI with a particular focus on how GenAI tools reshape the way Truist and similar organizations must navigate model risk management and regulations. GenAI is more versatile than traditional AI, he notes, yet its flexibility introduces new challenges around ensuring model reliability, validating outputs, and making sure that AI-driven decisions don’t lead to unfair or opaque outcomes.
    Chandra’s responsible AI approach at Truist is focused on risk mitigation while emphasizing the importance of human oversight in high-stakes decision-making. He points out that while GenAI can vastly improve productivity by handling repetitive or analysis-heavy tasks, it’s essential to properly train employees in order to use the tools effectively and not over-rely on their outputs, especially given their tendency to hallucinate or produce inaccurate results. Read the episode transcript here.
    Guest bio
    Chandra Kapireddy is head of generative AI, machine learning, and analytics, at Truist. He brings over 27 years of experience building and leading world-class data, analytics, and artificial intelligence teams to the financial services firm. Kapireddy has held key leadership positions at some of the industry’s leading companies, including Capital One, Wells Fargo, Bank of America, Oracle, and Amazon Web Services. Most recently, he served as managing director and head of AI/ML products for JPMorgan Chase, where he served on the firm’s AI Executive Council, which influences its strategy, products, controls, and governance.
    Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the executive producer is Allison Ryder.
    Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.
    We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
    34 min
  • STI Testing Made Easy: What Every MIT Student Should Know

    Getting tested for Sexually Transmitted Infections, or STIs, is easier than you think! In this episode, we sit down with Maura Rowley, Manager of Student Health Nursing at MIT Health, to talk about how quick, simple, and confidential STI screening is for students. Learn how to book an appointment, what to expect during your visit, and why routine testing is important—even if you feel fine. Plus, we’ll clear up common myths and answer your questions about privacy, cost (spoiler: it's covered!), and next steps if you have concerns. Taking care of your sexual health is stress-free at MIT—tune in to find out how!

    15 min
  • James Boyle Draws the Line Between Humans and AI
    It’s the UConn Popcast, and we spoke with Duke Law Professor James Boyle about his new book The Line: AI and the Future of Personhood (MIT Press, 2024). We spoke with Boyle about how our legal and moral understandings of personhood are being challenged by advances in AI. We discussed the role of the law, popular culture, tests of sentience, and our capacity for empathy in shaping this urgent debate.
    James Boyle is William Neal Reynolds Professor of Law at Duke Law School and founder of the Center for the Study of the Public Domain.
    54 min
  • The great indoors

    Modern buildings are complex machines, using heating, cooling and a host of other appliances to turn energy into comfort. But that energy comes with a cost: today, our buildings do more to warm the climate than heavy industry, agriculture, or transportation. Prof. Tarek Rakha provides an architect’s view of buildings and the climate, sharing how we can build anew—and upgrade our existing buildings—to use less energy, lower our living costs, benefit the climate, and live more comfortably, all at the same time.

    For a deeper dive and additional resources related to this episode, visit: https://climate.mit.edu/podcasts/e4-great-indoors

    For more episodes of TILclimate by the MIT Climate Project, visit tilclimate.mit.edu. 

    Credits

    Laur Hesse Fisher, Host and Senior Editor

    Aaron Krol, Writer and Executive Producer

    David Lishansky, Editor and Producer

    Grace Sawin, Student Production Assistant

    Michelle Harris, Fact Checker

    Music by Blue Dot Sessions

    Artwork by Aaron Krol

    16 min
  • AI's Hidden Business Effects: MIT Principal Research Scientist Andrew McAfee Explores how AI is Affecting Enterprise
    What happens when every company becomes a tech company—and the geeks take the wheel?
    Renowned economist, bestselling author, and MIT Principal Research Scientist Andrew McAfee unpacks how AI is transforming corporate strategy—from cement makers to software engineers. Drawing on insights from his book The Geek Way and his startup Workhelix, McAfee shares what he’s hearing from executives around the world, where AI is delivering real ROI, and why understanding how we measure impact is just as important as what we measure.
    From call centers to material science labs, from spreadsheet power users to the future of education, McAfee examines how generative AI is changing who wins—and how people can avoid getting left behind. He also weighs in on the biggest AI misconceptions, the risks that actually matter, and why Silicon Valley still holds the crown in the age of innovation.
    Topics include:
    The management playbook of the future
    Real-world studies on AI’s impact in the workplace
    Why AI helps some workers more than others
    The “credibility revolution” in measuring ROI
    What companies get wrong about scaling AI
    Whether writing—and even coding—will still matter in 10 years
    Andrew McAfee is the Co-Director of the IDE and a Principal Research Scientist at the MIT Sloan School of Management. His research investigates how information technology changes the way companies perform, organize themselves, and compete. He is a NYT bestselling author and writes a widely read blog, which is at times one of the 10,000 most popular in the world. Prior to joining MIT Sloan, McAfee was a professor at Harvard Business School.
    Connect with CSAIL Alliances:
    On our site: https://cap.csail.mit.edu/about-us/meet-our-team
    On X: https://x.com/csail_alliances
    On LinkedIn: https://linkedin.com/company/mit-csail
    #MITCSAIL #AI #GenerativeAI #Leadership #Technology #CSAILPodcast
    48 min
  • Speed, Ease, and Expertise With AI: Lenovo’s Linda Yao
    Linda Yao, chief operating officer and head of strategy for Lenovo’s Strategy,
    Solutions, and Services Group and vice president of hybrid cloud and AI
    solutions, joins us to explain the organization’s transition from technology product company to managed services provider. It’s now helping organizations with the change management required to implement AI in the enterprise.
    She shares both a framework around speed, ease, and expertise to facilitate this adoption, as well as the four pillars of AI readiness that Lenovo guides its clients to achieve. Tune in to this episode, also, for Linda’s perspective on the role of human connection in what she calls the era of inference, a time when we should focus on the implementation of maturing AI tools. Read the episode transcript here.
    Guest Bio:
    Linda Yao serves as vice president of hybrid cloud and AI solutions at Lenovo.
    Yao recently also took on the role of chief operating officer and head of Lenovo’s Strategy, Solutions, and Services Group and established the company’s AI Center of Excellence.
    Previously, at Boeing, she incubated a data science practice in the U.S. and India, built an
    M&A team, and oversaw investments for one of the largest corporate retirement plans in the world. She earned her finance chops at IBM in New York and Shanghai. Yao earned her bachelor’s and master’s degrees from Harvard University and an engineering certificate from MIT. She is an active liaison for the U.S. Presidential Scholars Foundation and the
    YoungArts, a national foundation.
    Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the executive producer is Allison Ryder.
    Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.
    We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
    32 min
  • Making sense of your dollars — Christopher Palmer

    Christopher Palmer is an Associate Professor of Finance at the MIT Sloan School of Management. He is also a Faculty Research Fellow at the National Bureau of Economic Research, and an Affiliate with the Jameel Poverty Action Lab, based here at MIT. He studies consumer credit, and household financial decision making.

    Show notes and transcript:

    https://news.mit.edu/podcast/podcast-curiosity-unbounded-episode-15-making-sense-your-dollars

    Join the mailing list or send us feedback:

    https://eepurl.com/ixPQPA

    33 min
  • Healthcare Proxies 101

    Who would make medical decisions for you if you couldn’t? In this episode of Conversations with MIT Health, Jessica Senesi, ANP-BC, and Lydia Barlow, MD, explain why healthcare proxies matter, how to choose one, and the key conversations to have. They’ll also clear up misconceptions and discuss how proxies interact with advance directives. Whether planning for yourself or a loved one, this discussion will help you make informed decisions with confidence.

    18 min
  • Did climate change do that?

    A new type of climate science is allowing us to draw clearer connections between our warming planet, and the extreme weather events this warming creates. Thanks to “climate change attribution,” scientists can now say confidently when climate change has made a heatwave or hurricane more likely, and by how much. Dr. Andrew Pershing explains how attribution science works, and why this information is useful for understanding and adapting to a warming world.

    For a deeper dive and additional resources related to this episode, visit: https://climate.mit.edu/podcasts/e3-did-climate-change-do

    For more episodes of TILclimate by the MIT Climate Project, visit tilclimate.mit.edu. 

    Credits

    Laur Hesse Fisher, Host and Senior Editor

    Aaron Krol, Writer and Executive Producer

    David Lishansky, Editor and Producer

    Grace Sawin, Student Production Assistant

    Michelle Harris, Fact Checker

    Music by Blue Dot Sessions

    Artwork by Aaron Krol

    14 min
  • Reskilling the Workforce With AI: Harvard Business School’s Raffaella Sadun
    Harvard Business School professor Raffaella Sadun’s research has historically focused on digital reskilling. Now, rapid technological changes — like AI — are reshaping the nature of work. Raffaella’s research has explored how AI might empower those with intermediate expertise, such as store managers and blue-collar workers, to become more efficient and satisfied in their roles. She shares a bit about her research on today’s episode of Me, Myself, and AI and highlights the potential for AI to improve teamwork and innovation by bridging the gaps between different functional teams. Her experiments show that AI can enhance productivity and output quality, sometimes even substituting for team collaboration, while also improving speed and efficiency in problem-solving tasks. Read the episode transcript here.
    Guest bio:
    Raffaella Sadun is the Charles E. Wilson Professor of Business Administration at Harvard Business School, where she cochairs the Project on Managing the Future of Work and is coprincipal investigator of the Digital Reskilling Lab. Her research focuses on managerial and organizational drivers of productivity and growth in corporations and the public sector. She cofounded several large-scale projects to measure management practices and managerial behavior in organizations, such as the World Management Survey, the Executive Time Use Study, and U.S. Census Bureau’s Management and Organizational Practices Survey of hospitals.
    Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Alanna Hooper.
    Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.
    We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
    30 min

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Episodes from podcasts from around MIT