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
Stanford University President Jon Levin highlights Stanford’s pivotal role in shaping the future of AI, pointing to Stanford HAI as a leader in advancing its ethical development and deployment.
Stanford University President Jon Levin highlights Stanford’s pivotal role in shaping the future of AI, pointing to Stanford HAI as a leader in advancing its ethical development and deployment.

This white paper analyzes the varying ways AI tools can advance language digitization work, and provides recommendations for responsibly realizing the potential of AI in supporting the digital inclusion of digitally disadvantaged languages.
This white paper analyzes the varying ways AI tools can advance language digitization work, and provides recommendations for responsibly realizing the potential of AI in supporting the digital inclusion of digitally disadvantaged languages.


As artificial intelligence becomes central to national security, experts grapple with a technology that remains unpredictable, unregulated, and increasingly powerful.
As artificial intelligence becomes central to national security, experts grapple with a technology that remains unpredictable, unregulated, and increasingly powerful.


This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.
This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.

"The ultimate problem is that you just can't control where the information goes, and it could leak out in ways that you just don't anticipate," says HAI Privacy and Data Policy Fellow Jennifer King.
"The ultimate problem is that you just can't control where the information goes, and it could leak out in ways that you just don't anticipate," says HAI Privacy and Data Policy Fellow Jennifer King.

Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.
Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.
