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Me, Myself, and AI

MIT Sloan Management Review
Artificial Intelligence
Generative AI
Consumer Preferences
Market Research
BCG
Willingness To Pay
Algorithmic Bias
Retail
Data Science
MIT Sloan Management Review
Harvard Business School
Manufacturing
Georgetown University
Amazon Web Services
Machine Learning
Augmented Reality
Training and Skill Development
Fraud Detection
Shopify
Mars 2020 Mission

Discover what separates AI success from AI hype. In this series from MIT Sloan Management Review, AI winners share their secrets and success stories from the front lines. Explore the future of artificial intelligence with leaders from companies like YouTube, Cisco, and Hugging Face who are turning AI's potential into measurable business value.

PublishesTwice monthlyEpisodes112Founded5 years ago
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Artwork for Me, Myself, and AI

Latest Episodes

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 h... more

YouTube

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 ... more

YouTube

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 machi... more

YouTube

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 way... more

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Recent Guests

Alice Xiang
Global head of AI governance at Sony and lead research scientist for AI ethics at Sony AI
Sony
Episode: An Industry Benchmark for Data Fairness: Sony’s Alice Xiang
Shayan Mohanty
Chief Data and AI Officer at ThoughtWorks
ThoughtWorks
Episode: An Industry Benchmark for Data Fairness: Sony’s Alice Xiang
Tom Griffiths
Professor of Psychology and Computer Science, Director of the Princeton Laboratory for Artificial Intelligence
Princeton University
Episode: Connecting Language and (Artificial) Intelligence: Princeton’s Tom Griffiths
Will Croushorn
Product Manager at Wendy's, involved with the FreshAi initiative
Wendy's
Episode: Hungry for Learning: Wendy’s Will Croushorn
Ronnie Chatterji
Chief Economist at OpenAI.
OpenAI
Episode: Science, Innovation, and Economic Growth: OpenAI’s Ronnie Chatterji
Vishal Gupta
Engineering Manager, Machine Learning at Reddit
Reddit
Episode: From Rabbit Holes to Recommendations: Reddit’s Vishal Gupta
Chris Miller
Professor of International History at Tufts University
Episode: Feed Drop: MIT CSAIL Alliances Podcast
Julian Adams
President and CEO of Stand Up To Cancer, with over 40 years in cancer research.
Stand Up To Cancer
Episode: Training AI to Detect Disease: Stand Up To Cancer’s Julian Adams
Walter Sun
Senior Vice President and Head of AI at SAP
SAP
Episode: Building Better Answers With AI Agents: SAP’s Walter Sun

Hosts

Sam Ransbotham
Professor of Analytics at Boston College, with ongoing involvement in MIT Sloan Management Review; often serves as co-host and lead on episodes.
Shervin Khodabandeh
Senior Partner with a leading global management consulting firm and AI business lead; frequent contributor as a co-host.

Reviews

4.8 out of 5 stars from 249 ratings
  • Educational & Interesting

    I am a beginner, learning about AI as a retired teacher. This podcast is great with many interesting topics and guests.

    Apple Podcasts
    5
    debllstl
    United States4 months ago
  • One of the Best AI Podcasts Out There

    Consistently insightful conversations that go beyond the buzzwords. This podcast brings clarity and humanity to how AI is shaping our world.

    Apple Podcasts
    5
    SM405
    United Statesa year ago
  • Light weight corporate speak

    I listened to 5 episodes and gave up. Nothing here that you wouldn’t get from an early version of ChatGPT, a company meeting or a brochure. Maybe the guests are too senior and have had too many years of publicists checking everything they say. Maybe the academics hosting this don’t understand podcasts and think this just another trade show interview.

    It’s a shame though. BCG has tremendous data and practical expertise. MIT is, well, MIT. This could have been something that mattered.

    Apple Podcasts
    2
    Marcus517
    United Statesa year ago
  • Absolutely my favourite podcast about AI

    All the guests and stories are very inspiring. I would say it’s a podcast about AI for regular average joe people for all the companies that most people know, use, or heard of in their daily life without jargons.

    Apple Podcasts
    5
    pegasuschild
    Canada2 years ago
  • Why is this podcast not more popular?

    It seems to be written by professors who have no idea how to speak without sounding like they are reading. BORING!!

    Apple Podcasts
    1
    Chilistructure
    United States2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Educational & Interesting—beginners find the content helpful and guest variety adds value
Consistently insightful conversations that cut through buzzwords and explain real-world AI impact
The show is praised for strong guest quality and practical takeaways, though a few reviews request more grounded case studies
Some listeners feel the format can be too promotional or high-level, with mixed reception to pacing and depth
Executives find it useful for practical AI applications and governance discussions

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#86
United States/Technology
Apple Podcasts
#59
Canada/Technology
Apple Podcasts
#82
United Kingdom/Technology
Apple Podcasts
#42
Italy/Technology
Apple Podcasts
#155
Germany/Technology
Apple Podcasts
#157
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

An Industry Benchmark for Data Fairness: Sony’s Alice Xiang
Q: What's moving faster about AI than you expected and what's moving slower?
AI is accelerating in everyday integration and KPI tracking for adoption, but concrete, practice-oriented adoption of AI ethics in model development remains slower, with a gap between literature and everyday practice.
An Industry Benchmark for Data Fairness: Sony’s Alice Xiang
Q: How does Phoebe apply to other modalities like voice or audio, not just images?
Phoebe is focused on human-centric computer vision but the underlying ethical principles—consent, compensation, privacy, and diverse, well-labeled data—are extendable to other modalities with appropriate adaptation for modality-specific challenges.
An Industry Benchmark for Data Fairness: Sony’s Alice Xiang
Q: Give us some details, like what exactly is involved in Phoebe and what are the pieces and how do I use it tomorrow if I want to?
Phoebe centers on ethical data sourcing (consent and compensation) and broad, self-reported demographic labeling to enable more accurate bias evaluation across diverse conditions; it provides datasets and a framework to diagnose bias and mitigate issues in computer vision models.
An Industry Benchmark for Data Fairness: Sony’s Alice Xiang
Q: Hey, to start, we first talked a few years ago when you were at the partnership on AI, but I'm curious what you're up to now. Can you tell us about Sony's work on responsible AI ethics and governance?
Sony is a large multinational with diverse business units; they established an AI ethics office, governance frameworks, and an AI ethics research team within Sony AI to ensure responsible evaluation and deployment of AI across products and services.
AI Is Not Improving Productivity: Nobel Laureate Daron Acemoglu
Q: What is the biggest misconception that people have about artificial intelligence?
Daron highlights the misconception that AI will completely replace humans, instead emphasizing that it should work alongside them for better outcomes.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
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Frequently Asked Questions About Me, Myself, and AI

What is Me, Myself, and AI about and what kind of topics does it cover?

A thoughtful AI-focused series that spotlights real-world business use cases, governance, and strategy behind artificial intelligence. Across episodes, guests range from university researchers and industry scientists to senior executives at large enterprises, discussing how AI is applied to productivity, customer experience, and decision-making, while also addressing regulatory, ethical, and workforce implications. Notable strengths include pragmatic takeaways, a steady stream of senior-level guests, and concise, business-oriented conversations that balance theory with actionable insights. Some listeners may find the discussions too polished or promotional at times, but the practical case studies and governance angles tend to stand out for ... more

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Which podcasts are similar to Me, Myself, and AI?

These podcasts share a similar audience with Me, Myself, and AI:

1. The AI Daily Brief: Artificial Intelligence News and Analysis
2. Practical AI
3. Masters of Scale
4. Hard Fork
5. HBR IdeaCast

How many episodes of Me, Myself, and AI are there?

Me, Myself, and AI launched 5 years ago and published 112 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Me, Myself, and AI?

Recent guests on Me, Myself, and AI include:

1. Alice Xiang
2. Shayan Mohanty
3. Tom Griffiths
4. Will Croushorn
5. Ronnie Chatterji
6. Vishal Gupta
7. Chris Miller
8. Julian Adams

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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