Me, Myself, and AI

Collective Learning With Generative AI

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Episode notes

Over the past year, we’ve seen generative AI explode. In this episode, we review insights shared with us from five prior guests — from Microsoft, GitHub, Meta, Partnership on AI, and NASA — and consider what’s changed, what’s the same, and what new concerns organizations face. With GenAI tools becoming ubiquitous and democratized, organizations grapple with how to use them at the enterprise level and how to regulate their use for employees. They’re also struggling with openness and transparency in the name of knowledge sharing while protecting competitive advantage.

The balance between openness, competition, and responsible deployment of AI is crucial as AI tools continue to evolve. Read the episode transcript here.

For more, listen to these prior episodes in full:

Out of the Lab and Into a Product: Microsoft’s Eric Boyd

If 10% of the World Were Developers: GitHub’s Mario Rodriguez

Sharing AI Mistakes: Partnership on AI’s Rebecca Finlay

Building Connections Through Open Research: Meta’s Joelle Pineau

AI on Mars: NASA’s Vandi Verma

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.

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