Embodied AI is artificial intelligence that operates through a physical system, such as a robot or autonomous vehicle, using sensors to perceive its surroundings and physical components to interact with them. The goal is for these systems to understand and respond to their environments, learn from experience, and carry out real-world tasks, with varying degrees of success.
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This brief introduces a generative AI agent architecture that can simulate the attitudes of more than 1,000 real people in response to major social science survey questions.
This brief introduces a generative AI agent architecture that can simulate the attitudes of more than 1,000 real people in response to major social science survey questions.


Scholars hope these generative agents based on real-life interviews can solve society’s toughest problems.
Scholars hope these generative agents based on real-life interviews can solve society’s toughest problems.


A Stanford study captures the gap between worker desires and AI’s abilities, and highlights areas ripe for research and development.
A Stanford study captures the gap between worker desires and AI’s abilities, and highlights areas ripe for research and development.


NNetNav learns how to navigate websites by mimicking childhood learning through exploration.
NNetNav learns how to navigate websites by mimicking childhood learning through exploration.


Leading Stanford faculty offer their expectations for artificial intelligence in the new year.
Leading Stanford faculty offer their expectations for artificial intelligence in the new year.


At Stanford HAI, we believe AI is poised to be the most transformative technology of the 21st century. But its benefits won’t be evenly distributed unless we guide its development thoughtfully.
At Stanford HAI, we believe AI is poised to be the most transformative technology of the 21st century. But its benefits won’t be evenly distributed unless we guide its development thoughtfully.
