Episodes

  • Ethically Sourced Creativity: Shutterstock's Alessandra Sala

    Ethically Sourced Creativity: Shutterstock's Alessandra Sala
    Oct 1 2024
    Alessandra Sala, senior director of data science and AI at Shutterstock, brings an impressive background in responsible AI to her role. Also the global president of Women in AI and cochair of the Women4Ethical AI platform at UNESCO, Alessandra joins this episode to describe how Shutterstock, widely known as a stock photo company, has become a go-to destination for creative assets — and AI training data. Alessandra outlines Shutterstock’s content acquisition and royalty models, which reward contributors whose assets are used to train third parties’ AI models and have set the standard for other stock media companies. She argues that these ethical approaches aren’t just a moral choice — they offer strategic advantage, given that these assets are integral to shaping the future of AI-generated content. Learn how Alessandra’s team is leading the charge in ethical AI and redefining the creative landscape. Read the episode transcript here. For more on model collapse — when AI models are trained on AI-generated content — see this recent New York Times article, “When AI’s Output Is a Threat to AI Itself.” Guest Bio Alessandra Sala is the senior director of AI and data science at Shutterstock. She has acquired more than 10 years of experience in research and innovation through her work in both academic and commercial environments. Sala is passionate about advanced analytics, machine learning, and computational models, with a focus on transitioning innovation from research to products. 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.
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    36 mins
  • Meet Your New Teammate, AI: Asana’s Saket Srivastava

    Meet Your New Teammate, AI: Asana’s Saket Srivastava
    Sep 17 2024
    Saket Srivastava, CIO at work management platform Asana, has had technology roles at organizations such as General Electric, IBM, and Fujitsu, moving from back-end IT services positions to more strategic business leadership roles. Asana has already been working with artificial intelligence for several years, Saket notes, and has seen the technology’s role evolve: Rather than simply optimizing tasks, it now often acts as more of a teammate as it’s integrated into core workflows to enhance productivity by taking on cognitive tasks like writing project status updates. Saket joins this episode to share his observations about the evolution of CIOs from back-end IT managers to front-line business leaders driving innovation and strategy, especially in the context of AI. He also discusses the benefits of being part of a CIO community in which people freely share their knowledge and experience and support one another as they navigate a rapidly evolving tech environment. Read the episode transcript here. Guest bio: Saket Srivastava is the CIO for work management platform Asana. He oversees the company’s educational and information technology organization, which involves optimizing technology systems and processes, connecting technology strategy to overarching business strategy, and ensuring that technology infrastructure supports organizational goals. Previously, Srivastava held executive positions at Square, Guidewire Software, and other leading technology companies. He holds a master’s degree from the Institute of Management Technology, Ghaziabad and an MBA from the University of California, Berkeley’s Haas School of Business. 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.
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    35 mins
  • Feed Drop: Why Only 10% of Companies Succeed With AI With Sam Ransbotham, Professor at Boston College

    Feed Drop: Why Only 10% of Companies Succeed With AI With Sam Ransbotham, Professor at Boston College
    Jul 30 2024
    In the time before Me, Myself, and AI returns for Season 10, we're pleased to bring you a special episode from our friends at the Modern CTO podcast. From Modern CTO: Today we’re talking to Sam Ransbotham, professor at Boston College. Sam shares with us the reason that the vast majority of companies are falling behind the AI curve, why most people just slap AI onto a problem instead of fixing it, and the ways in which technology can improve not only our business processes but also our quality of life.
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    45 mins
  • Building Connections Through Open Research: Meta’s Joelle Pineau

    Building Connections Through Open Research: Meta’s Joelle Pineau
    Jun 25 2024
    Joelle Pineau’s curiosity led her to pursue a doctorate in engineering with a focus on robotics, which she describes as her “gateway into AI.” As vice president of AI research at Meta, Joelle leads a team committed to openness in the service of high-quality research, responsible AI development, and community contribution. In this episode, Joelle, who is also a professor at McGill University, weighs the advantages industry and academia each have for conducting artificial intelligence research. She also describes specific AI research projects Meta is working on, including scientific discovery initiatives focused on addressing societal problems like carbon capture. Read the episode transcript here. Guest bio: Joelle Pineau is vice president of AI research at Meta and a professor at McGill University. Her research focuses primarily on developing new models and algorithms for planning and learning in complex, partially observable domains. She also applies these algorithms to robotics, health care, games, and conversational agents. Pineau serves on the board of the Journal of Artificial Intelligence Research and the Journal of Machine Learning Research. She has a bachelor’s degree in engineering from the University of Waterloo and master’s degree and doctorate in robotics from Carnegie Mellon University. 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 Andy Goffin. 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.
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    34 mins
  • Authoring Creativity With AI: Researcher Patrick Hebron

    Authoring Creativity With AI: Researcher Patrick Hebron
    Jun 12 2024
    If you’ve played with Photoshop’s Generative Fill feature or worked in Nvidia’s Omniverse platform, you’ve touched tools that Patrick Hebron’s work has made possible. A dual major in philosophy and film production, Patrick approaches creative pursuits with a deep curiosity and the belief that if a “tool gets used in exactly the way that we anticipated, then we have really failed catastrophically.” He believes that emerging digital design tools will elevate human creativity, and he aims to develop technology solutions that will empower creative end users to continue to push boundaries. On this episode, Patrick describes some of the technical challenges in building generative AI solutions for creative pursuits, as well as their vast potential. Read the episode transcript here. Guest bio: Patrick Hebron is a designer, software developer, teacher, and author. His work explores the intersection of machine learning, design tools, programming languages, and operating systems. In particular, he has focused on the development of AI-driven digital design tools. He founded the Machine Intelligence Design groups at Nvidia and Adobe and was vice president of R&D at Stability AI. He is the author of Machine Learning for Designers, published by O’Reilly Media, as well as numerous articles, including Rethinking Design Tools in the Age of Machine Learning and A Unified Tool for the Education of Humans and Machines. He has also worked as an adjunct graduate professor and scientist in residence at New York University. 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 Andy Goffin. 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.
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    30 mins
  • If 10% of the World Were Developers: GitHub’s Mario Rodriguez

    If 10% of the World Were Developers: GitHub’s Mario Rodriguez
    May 28 2024
    When Mario Rodriguez emigrated from Cuba to the United States at age 14 with his parents — a university professor, and a teacher turned electrical engineer — they had already instilled in him the value of education and a love of learning. That passion has guided him throughout his career — as a program manager with Microsoft; then as part of GitHub, following Microsoft’s 2018 acquisition of the developer platform; and as a cofounder of a charter school in North Carolina. Now, as senior vice president of product at GitHub, Mario oversees the team developing the GitHub Copilot AI-assisted software development tool. Mario joins this episode to share his views on product development, GitHub Copilot’s effect on productivity and job satisfaction, and a future in which more people can easily develop their own software. Read the episode transcript here. Guest bio: Mario Rodriguez leads the GitHub Product team as senior vice president of product. His core identity is that of a learner, and his passion is creating developer tools — so much so that he has spent the past 20 years in leadership roles across Microsoft and GitHub. His most recent work involves overseeing GitHub’s AI strategy and launching and growing the GitHub Copilot product line across thousands of organizations and millions of users. Rodriguez also cochairs a charter school that he cofounded in an effort to help progress STEAM (science, technology, engineering, arts, and mathematics) education in rural regions of the United States. 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 Andy Goffin. 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.
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    29 mins
  • AI Hype and Skepticism: Economist Paul Romer

    AI Hype and Skepticism: Economist Paul Romer
    May 14 2024
    Paul Romer once considered himself the most optimistic economist. He rightfully predicted that technology would blow up as an economic driver coming out of the inflation of the 1970s but acknowledges he did not foresee the inequality that technology advances would lead to. On this episode, Paul shares his views on AI advances and their implications for society. Rather than pave the way for full automation, he is a proponent of keeping humans in the loop and believes that, rather than slowing down technology, it can be pointed in a direction for more meaningful and beneficial use, citing education as an area ripe to benefit from AI. Listen to the episode transcript here. 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 Andy Goffin. 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.
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    29 mins
  • Lights, AI, Action: Wonder Dynamics's Tye Sheridan

    Lights, AI, Action: Wonder Dynamics's Tye Sheridan
    Apr 30 2024
    Actor Tye Sheridan may not consider himself a technology expert, but his knowledge of visual effects (VFX) processes led him to cofound AI-driven startup Wonder Dynamics. With the company’s new product, Wonder Studio, creators can upload 2D video and transform it into 3D animations at a fraction of the cost of the motion-capture animation process typically used by Hollywood studios. Tye joins this episode to talk about the genesis of his company, plus he shares his views on artificial intelligence’s impact on creativity in the film industry and the opportunities it can offer creators. Read the episode transcript here. Guest bio: Tye Sheridan is an actor and producer who has appeared in a number of films, including Ready Player One and X-Men: Apocalypse. In 2017, with Nikola Todorovic, he cofounded Wonder Dynamics, a technology company that’s creating AI-powered film production tools. Its proprietary AI software, Wonder Studio, uses artificial intelligence and machine learning to automatically animate, light, and compose computer-generated characters in live-action scenes. The company is on a mission to build AI tools that enable creators to produce studio-level visual effects and CGI-heavy content for a significantly lower cost than the traditional motion-capture process. 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 Andy Goffin. 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.
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    28 mins