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.

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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.

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ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.

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.

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.

In this bonus episode, Princeton University professor and artificial intelligence researcher Tom Griffiths joins Sam to unpack The Laws of Thought, his new book exploring how math has been used for centuries to understand how minds — human and machine — actually work.

Tom walks through three main frameworks shaping intelligence today — rules and symbols, neural networks, and probability — and he explains why modern AI only makes sense when you see how those pieces fit together.

The conversation connects cognitive science, large language models, and the limits of human versus machine intelligence. Along the way, Tom and Sam dig into language, learning, and what humans still do better — like judgment, curation, and metacognition. 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."

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.

On today’s episode, Wendy’s product manager Will Croushorn joins Sam to share how FreshAi, the fast-food restaurant’s voice-based AI ordering system, is reinventing the drive-through experience for millions of customers. From handling 200 billion ways to order a Dave’s Double burger to making fast food more accessible for guests in multiple languages, Will reveals how empathy and innovation will positively impact the future of convenience. Learn how his team turns speech data into insight, builds trust in automation, and can even hide a few Easter eggs in your next order. Read the episode transcript here. That's a wrap on Season 12!

We'll back in January with a bonus episode.

*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:

Will Croushorn is a product leader at Wendy’s and cocreator of its drive-through voice agent, FreshAi, which handles more than 150,000 orders each day across hundreds of stores throughout the U.S. Recognized by <cite>Fast Company</cite> as one of the “Next Big Things in Tech,” the artificial intelligence platform shows that AI can deliver measurable impact at enterprise scale. Croushorn’s career has been shaped by relentless curiosity: He started a school in northern Iraq, became fluent in Behdini Kurdish, and now advances vision and multimodal AI serve customers in entirely new ways.

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.

On this episode, OpenAI’s chief economist Ronnie Chatterji describes how artificial intelligence is reshaping both the economy and scientific innovation. Ronnie discusses the dual economic impacts of AI — the near-term boost from infrastructure investments like chips and data centers, and the longer-term productivity gains as AI tools integrate into enterprises and consumer life. Beyond consumer convenience, he notes, the key question for economists and corporate leaders alike is when — and how — AI will unlock sustained economic value inside organizations.

Tune in for Ronnie's perspective on how AI can help researchers test ideas faster, combine insights across disciplines, and make better choices about which problems to pursue. Read the episode transcript here.

Guest bio:

Aaron (Ronnie) Chatterji is OpenAI’s first chief economist. He is also the Mark Burgess & Lisa Benson-Burgess Distinguished Professor at Duke University. He served in the Biden administration to implement the CHIPS and Sciences Act and was acting deputy director of the National Economic Council. Before that, he was chief economist at the Department of Commerce and a senior economist at the White House Council of Economic Advisers. He also previously taught at Harvard Business School, worked at Goldman Sachs, and was a term member of the Council on Foreign Relations. Chatterji is on leave as a research associate at the National Bureau of Economic Research. He holds a Ph.D. from University of California, Berkeley and a B.A. in economics from Cornell 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.

AI isn’t taking jobs — it’s changing what jobs are. On today’s episode, GeekWire’s Todd Bishop joins host Sam Ransbotham to dive into how artificial intelligence is reshaping work, learning, and creativity — not by replacing humans but by amplifying what we can do.

From classrooms where students use AI on exams to newsrooms rethinking how news stories get written, they explore the opportunities (and headaches) of this new era. It’s a smart, funny, and refreshingly real look at how we’re all learning to work with our newestcoworker — artificial intelligence. Read the episode transcript here.

 Guest bio:

Todd Bishop is cofounder of GeekWire, the Seattle-based business and technology news site, where he covers topics like AI, Microsoft, and Amazon, in addition to hosting a weekly podcast. A native of Orland, California, the longtime journalist previously worked at The Philadelphia Inquirer, Puget Sound Business Journal, and the Seattle Post-Intelligencer.

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.

Vishal Gupta, engineering manager, machine learning at Reddit, joins the podcast to explain how the social media community platform uses artificial intelligence to improve user experience and ad relevance. Much of the advertising work relies on increasingly sophisticated recommender systems that have evolved from simple collaborative filtering to deep learning and large language model–based systems capable of multimodal understanding.

Vishal and Sam also explore the philosophical and ethical aspects of AI-driven platforms. Vishal emphasizes the importance of balance — between exploration and exploitation in recommendations, between advertiser goals and user experience, and between human- and machine-generated content. He argues that despite the rise of AI-generated material, authentic human conversation remains vital and even more valuable as models depend on it for training. Read the episode transcript here.

Guest bio:

Vishal Gupta is a seasoned engineering leader who leads multiple artificial intelligence and machine learning teams at Reddit in the ads domain. He has a decade of experience working on cutting-edge machine learning techniques at companies like DeepMind, Google, and Twitter. Gupta is passionate about applied AI research that significantly contributes to a company’s top and bottom lines.

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.

Kathleen Peters brings a background with digital communications companies and tech startups to her role as Experian’s chief innovation officer. On this episode, Kathleen shares a bit about Experian’s Innovation Lab, outlining some of its projects and explaining how the recent democratization of generative AI tools has made even more innovative thinking possible, both for tech experts and for contributors who have other core competencies. Read the episode transcript here.

Guest bio:

As Experian’s chief innovation officer, Kathleen Peters explores new ways to solve market challenges in identity, risk, and fraud detection. She and her team define business strategies and investment priorities while incubating new products, analyzing industry trends, and leveraging the latest technologies to bring ideas to life.

Peters joined Experian in 2013 to lead business development and global product management for its newest fraud products. She later led its Fraud & Identity business in North America until being named chief innovation officer for decision analytics in 2020. Peters has twice been named a “Top 100 Influencer in Identity” by One World Identity (now Liminal), which annually recognizes influencers and leaders in the identity space.

Peters is regularly quoted in prominent media outlets, including Forbes and Bloomberg, and she frequently shares her insights on innovation, AI, and fraud prevention at industry events.

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.

Cisco is well known for its data, networking, security, and collaboration products. On today’s episode, Cisco’s president and chief product officer, Jeetu Patel, joins Sam for a discussion about artificial intelligence, a “megatrend” Jeetu sees as perhaps more significant than the development of the internet or the automobile because of its ability to build on past technological advances.

Jeetu and Sam discuss how to manage AI and how to staff for it — Jeetu argues that replacing less experienced or younger workers with technology deprives organizations of key perspectives and new ideas, and instead advocates for developing reverse-mentoring programs inside organizations. Read the episode transcript here.

Guest bio:

Jeetu Patel, Cisco’s president and chief product officer, combines product design and development expertise, operational rigor, and market understanding to create high-growth businesses. He is tasked with building world-class products to solve customers’ problems, and connect and protect every aspect of their organization in the AI era. Previously a general manager at Cisco, he led the strategy and development of its Security and Collaboration businesses.

Before Cisco, Patel was the chief product officer and chief strategy officer at cloud content management company Box. He’s also held roles at EMC, including chief executive of its Syncplicity business unit, CMO for the Information Intelligence Group, and chief strategy officer. He currently serves on the board of JLL, a commercial real estate services company. Jeetu has a bachelor’s degree in information decision sciences from the University of Illinois at Chicago, and lives in the San Francisco Bay Area.

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.

A chemical engineer by training, Angela Nakalembe worked in the sciences and management consulting before landing at YouTube as the company’s engineering program manager for trust and safety.

At YouTube, Angela explains, AI has become a first line of defense against harmful content. The technology not only accelerates content moderation tasks but makes the process more humane, by filtering out problematic content before it reaches a human reviewer. To combat the proliferation of AI-generated content that may be hard to discern from assets created by humans, YouTube, its parent company Google, and others have joined the Coalition for Content Provenance and Authenticity Alliance to establish standards for the origin of content they observe. Also on today’s episode, Angela shares some personal experiences using large language models (LLMs) and Google’s own AI tools to illustrate how she sees individuals using AI in the future. Read the episode transcript here.

Guest bio

Angela Nakalembe is an operations leader, internet safety expert, and advocate for responsible AI development. As an engineering program manager at YouTube, she leads strategic initiatives focused on protecting billions of users through innovative safety features and risk mitigation strategies, work that has earned multiple Google product excellence awards. Nakalembe developed her strategic expertise as a management consultant, when she supported multimillion-dollar technology migrations for Fortune 50 companies. She currently provides mentoring through TechWomen, a U.S. Department of State initiative creating the next generation of women technology leaders worldwide, and she teaches yoga.

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.