EPISODE · Apr 23, 2026 · 37 MIN
Hybrid Intelligence with Vivienne Ming
from What's Next! with Tiffani Bova
Welcome to the What's Next! Podcast with Tiffani Bova. I'm thrilled to welcome Dr. Vivienne Ming to the show. She's a theoretical neuroscientist, AI expert, and what she calls a "professional mad scientist for the public good." She's also fabulous in person and one of my go-tos whenever I have a question about these topics because her work challenges the idea that we should compete with machines and instead pushes us to become more human, not less. THIS EPISODE IS PERFECT FOR…anyone trying to understand how to stay relevant in an AI-driven world and how to use technology to become more human, not less. TODAY'S MAIN MESSAGE…we've spent the last decade building AI that can operate without us, but that may be the wrong goal entirely. Vivienne challenges the dominant narrative around artificial intelligence, arguing that the real opportunity isn't automation or efficiency, it's hybrid intelligence. The most powerful outcomes happen when humans and machines work together, not when one replaces the other. KEY TAKEAWAYS… AI alone is powerful, but human + AI ("hybrid intelligence") is the most effective combination for solving complex problems. The real differentiator in an AI world is your ability to explore unknown, messy, "ill-posed" problems. Using AI to challenge your thinking—not replace it—leads to better outcomes and deeper insights. WHAT I LOVE MOST…the idea that AI shouldn't make life easier, it should make your thinking better. The people who win in this new world aren't the ones who automate everything… they're the ones who stay deeply engaged, ask better questions, and use AI as a thought partner. Running Time: 37:22 Subscribe on iTunes Find Tiffani Online: LinkedIn Facebook X Find Vivienne Online: LinkedIn Website Vivienne's Book: Robot-Proof: When Machines Have all the Answers, Build Better People
NOW PLAYING
Hybrid Intelligence with Vivienne Ming
No transcript for this episode yet
Similar Episodes
Mar 26, 2026 ·1m
Jan 2, 2026 ·47m
Dec 21, 2025 ·46m