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Why Responsible AI Isn’t Optional: Dr. Mihaela Vorvoreanu on Designing AI That Works With People, Not Just for Them

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Content provided by JL Heather. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by JL Heather or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Breakthrough Innovation, we’re joined by Dr. Mihaela Vorvoreanu (aka “Miki”), Principal Applied Scientist at Microsoft. A leading expert in human-computer interaction and AI ethics, Miki brings a bold perspective on what it means to build good AI—and why “responsible AI” shouldn’t be a separate track, but core to everything we build. From her early academic career to helping shape Microsoft’s AI guidelines, Miki shares how we can design tech that puts people at the center.

Key Lessons Covered in This Episode:

The Problem with ‘Responsible AI’ as a Side Hustle: Miki challenges the notion of responsible AI being an “extra.” She argues that if you're building AI at all, you're already responsible—so you’d better do it right.

Designing for Human Fallibility: Learn why modern AI systems require a shift in how we think about user experience—because humans are trusting machines that don’t always tell the truth.

Over-Reliance on AI Is Real—And Risky: Discover how people working with AI can actually perform worse than those working alone, and why over-reliance is one of the most under-discussed AI risks.

Human Oversight Isn’t a Magic Fix: Miki explains why the “just put a human in the loop” mentality is dangerously simplistic—and how current designs make it harder, not easier, to supervise AI.

Paradigm Shift in Product Design: Hear how Microsoft’s Guidelines for Human-AI Interaction help teams build tools that are transparent, useful, and error-tolerant by design.

The Danger of AI Hype: Why we must replace AI evangelism with realistic expectations—and build mental models that reflect what AI can and can’t do.

Everyone Is in RAI—They Just Don’t Know It Yet: Whether you’re a developer, designer, or decision-maker, if you’re working with AI, you’re responsible for how it works with real people.

Key Takeaways:

✅ Responsible AI isn’t a luxury add-on—it’s part of building non-broken products.

✅ Over-reliance on AI leads to real-world harm, from medical errors to public trust loss.

✅ Human-centered design must evolve to fit AI’s probabilistic, imperfect nature.

✅ Reducing AI hype is crucial for building trust, usability, and long-term adoption.

Links And Resources:


Thanks for tuning in to Breakthrough Innovation! Want to subscribe to the podcast? Have feedback to share? Connect with us on Spotify or iTunes and leave us a review—we’d love to hear from you!

  continue reading

85 episodes

Artwork
iconShare
 
Manage episode 492383235 series 3623025
Content provided by JL Heather. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by JL Heather or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Breakthrough Innovation, we’re joined by Dr. Mihaela Vorvoreanu (aka “Miki”), Principal Applied Scientist at Microsoft. A leading expert in human-computer interaction and AI ethics, Miki brings a bold perspective on what it means to build good AI—and why “responsible AI” shouldn’t be a separate track, but core to everything we build. From her early academic career to helping shape Microsoft’s AI guidelines, Miki shares how we can design tech that puts people at the center.

Key Lessons Covered in This Episode:

The Problem with ‘Responsible AI’ as a Side Hustle: Miki challenges the notion of responsible AI being an “extra.” She argues that if you're building AI at all, you're already responsible—so you’d better do it right.

Designing for Human Fallibility: Learn why modern AI systems require a shift in how we think about user experience—because humans are trusting machines that don’t always tell the truth.

Over-Reliance on AI Is Real—And Risky: Discover how people working with AI can actually perform worse than those working alone, and why over-reliance is one of the most under-discussed AI risks.

Human Oversight Isn’t a Magic Fix: Miki explains why the “just put a human in the loop” mentality is dangerously simplistic—and how current designs make it harder, not easier, to supervise AI.

Paradigm Shift in Product Design: Hear how Microsoft’s Guidelines for Human-AI Interaction help teams build tools that are transparent, useful, and error-tolerant by design.

The Danger of AI Hype: Why we must replace AI evangelism with realistic expectations—and build mental models that reflect what AI can and can’t do.

Everyone Is in RAI—They Just Don’t Know It Yet: Whether you’re a developer, designer, or decision-maker, if you’re working with AI, you’re responsible for how it works with real people.

Key Takeaways:

✅ Responsible AI isn’t a luxury add-on—it’s part of building non-broken products.

✅ Over-reliance on AI leads to real-world harm, from medical errors to public trust loss.

✅ Human-centered design must evolve to fit AI’s probabilistic, imperfect nature.

✅ Reducing AI hype is crucial for building trust, usability, and long-term adoption.

Links And Resources:


Thanks for tuning in to Breakthrough Innovation! Want to subscribe to the podcast? Have feedback to share? Connect with us on Spotify or iTunes and leave us a review—we’d love to hear from you!

  continue reading

85 episodes

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