🎙️ WHAT EXACTLY IS HUMAN-CENTERED AI:

🤖CAN WE TEACH MACHINES TO CARE? 
 AI is getting smarter. But are WE getting wiser?

In this must-listen episode of The Rise of Humanness Podcast, hosts Chris Nolan and Mike Schindler sit down with Stanford professor James Landay, Co-Director of the Institute for Human-Centered AI, known as HAI, to tackle the big elephant in the room questions:

➡️ Can we build AI that actually serves people?
➡️ How do we design machines with ethics, empathy, and intuition in mind?
➡️ And what will happen to human jobs when AI can do… well, everything?

🔥 Spoiler alert: If we don’t get this right, we could end up with very powerful, very fast systems that are very wrong for humanity.

💡 In this thought-provoking convo, you’ll learn:
✅ The REAL definition of human-centered AI (and why it matters more than ever)
✅ Why ethics must be embedded into every AI course, algorithm, and product
✅ The importance of interdisciplinary collaboration (yep, we need the philosophers AND the coders)
✅ How human intuition can outperform even the smartest machines
✅ Why regulation isn’t a dirty word—it’s how we stay human

🎯 “If you don’t include humans in the loop—you’ll design machines that loop right over us.” – James Landay

⏳ Timestamps for Easy Navigation:
00:00 – Introduction and Greetings
01:16 – Meet James Landay | Stanford’s Human-Centered AI Visionary
02:18 – From Human-Computer Interaction to Ethical AI Design
07:59 – Defining Human-Centered AI
11:19 – The Real Ethical Minefields in AI Development
17:26 – Why AI Needs Artists, Psychologists, and Sociologists
24:08 – The Global Race for AI Power & Why It’s Risky
26:16 – Building AI We Can Trust
32:13 – Why Human Values Must Be the Core of AI
36:49 – Regulation: A Necessary Future
39:55 – Can Intuition Beat the Machine?
43:24 – The Future of Work: Humans + AI
48:04 – Final Thoughts | Staying Human in an AI World

📚 Learn more about James Landay + Stanford HAI → https://hai.stanford.edu/people/james-landay

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