Artificial Intelligence (AI) is a term coined in 1955 by John McCarthy, Stanford's first faculty member in AI, who described it as "the science and engineering of making intelligent machines." Today it is a broad term for computer systems that can perform tasks with human-like intelligence, such as understanding language, recognizing images, learning from data, reasoning, and making decisions. Modern AI often works by finding patterns in large amounts of data and using those patterns to generate predictions or responses. It can be narrow (good at a specific task) or more general-purpose, like today’s large language models that can handle many tasks.
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Machine Learning (ML) | AGI (Artificial General Intelligence) | Deep Learning
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The two-year fellowship supports PhD researchers across law, medicine, physics, statistics, education, and engineering.
The two-year fellowship supports PhD researchers across law, medicine, physics, statistics, education, and engineering.


This report assesses America's ability to develop, attract, and retain STEM talent and warns that its advantages over China are narrowing rapidly.
This report assesses America's ability to develop, attract, and retain STEM talent and warns that its advantages over China are narrowing rapidly.


Benchmarks — the standardized tests that rank AI models on safety, bias, and reasoning — drive markets and shape regulation. New Stanford research finds they often don't measure what they claim to.
Benchmarks — the standardized tests that rank AI models on safety, bias, and reasoning — drive markets and shape regulation. New Stanford research finds they often don't measure what they claim to.


In this paper, HAI Associate Director and Senior Fellow Rob Reich and UC Berkeley School of Information Professor Deirdre K. Mulligan provide concrete recommendations to the California Department of Technology on the implementation of its frontier AI transparency requirements.
In this paper, HAI Associate Director and Senior Fellow Rob Reich and UC Berkeley School of Information Professor Deirdre K. Mulligan provide concrete recommendations to the California Department of Technology on the implementation of its frontier AI transparency requirements.


In a new series called Prompt Response, Stanford’s Surya Ganguli, Diyi Yang and Rob Reich examined emergent agent behavior, recursive self-improvement, independent evaluation and whether a kill switch can make advanced AI safer.
In a new series called Prompt Response, Stanford’s Surya Ganguli, Diyi Yang and Rob Reich examined emergent agent behavior, recursive self-improvement, independent evaluation and whether a kill switch can make advanced AI safer.


This brief demonstrates the potential of LLM-assisted review to accelerate legal reform.
This brief demonstrates the potential of LLM-assisted review to accelerate legal reform.
