"Will AGI (Artificial General Intelligence) be achieved faster by humans working with machines? I actually think that is true. And it's almost a mistake to think of machines as operating only by themselves." 

In this episode, Mahesh speaks with Professor James Landay, a leading expert in human-computer interaction and co-founder of the Human-Centered AI Institute at Stanford. This episode explores the complexities of designing AI systems for high-stakes environments like public safety and enterprise security, a core focus for Motorola Solutions. 

Professor Landay introduces the principles of human-centered AI, emphasizing its power to augment human capabilities rather than replace them. Discover how “human-AI collaboration can lead to superintelligence faster than AI acting alone.” The conversation also delves into the crucial shift from user-centered design to “community-centered and society-centered design,” acknowledging AI's broader impact beyond the immediate user. 

Finally, Professor Landay shares invaluable advice for today's developers, underscoring the responsibility of “managing AI's benefits and harms through better design ethics and intentional collaboration,” particularly relevant for those building solutions for the safety and security of communities.

Let's geek out.

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