AI's Mixed Effect on Income Inequality

Now on Spotify Video! After decades leading AI research at NASA, Google, and Stanford, Peter Norvig has watched artificial intelligence advance at an incredible pace, often without enough consideration for the people it’s meant to serve. While the systems grew better at optimizing algorithms, far less focus was placed on fairness, human agency, and real-world impact. That realization led Peter to champion a more human-centered approach to AI. In this final episode of the AI Vault series, Peter breaks down how to design and use AI in ways that elevate human abilities, support better decision-making, and promote fairness across business, education, and leadership.

In this episode, Hala and Peter will discuss:

(00:00) Introduction

(02:28) His Transition From Academia to Corporate

(06:05) The Evolution of Google Search Technology

(12:59) How Artificial Intelligence Has Changed Over Time

(17:53) Human Intelligence vs. AI Capabilities

(23:38) What Is Human-Centered AI?

(29:42) AI-Powered Learning and Workplace Training

(35:47) AI for Entrepreneurs: The New Advantage

(39:10) Artificial Intelligence and Income Inequality

(41:19) The Risks and Rewards of Artificial Intelligence

Peter Norvig is a computer scientist, AI pioneer, and former Director of Research at Google, where he led significant advancements in search and machine learning. He is the co-author of Artificial Intelligence, the leading AI textbook used in more than 1,500 universities worldwide. Today, as a Fellow at Stanford’s Human-Centered AI Institute, Peter focuses on building AI systems that are fair, inclusive, and aligned with human values.

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Resources Mentioned:

Peter's Website: norvig.com 

Peter’s LinkedIn: linkedin.com/in/pnorvig 

Peter's Book, Artificial Intelligence: bit.ly/ArtficialIntelligence 

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