Dashboards created by Stanford HAI’s Digital Economy Lab measure how AI adoption is altering employment trends and job growth ...

The companies building artificial intelligence have promised to transform the world. But who gets to decide what that transformation looks like and what happens when people who have worked inside ...

Ethical AI is the design, development, and deployment of artificial intelligence systems that align with human values, fairness, transparency, and societal well-being. Ethical AI addresses concerns ...

The 2024-25 year marked a significant period of growth as we continued to advance the mission of human-centered AI. Government leaders, industry executives, educators, and civil society organizations ...

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 ...

Also called proprietary software, Closed Source refers to software whose underlying code is restricted and not available for the public to view, modify, or use. A company or developers maintain ...

AI’s influence on society has never been more pronounced. 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 ...

Fairness, bias, and ethics in machine learning continue to be topics of interest among both researchers and practitioners. As the technical barrier to entry for creating and deploying generative AI ...

Tokenization is the process of breaking down text into smaller units called tokens—which can be words, parts of words, or even individual characters—that AI language models can process. For example, ...

The Turing Test, proposed by mathematician Alan Turing in 1950, is a measure of a machine's ability to exhibit intelligent behavior indistinguishable from a human. In the test, a human evaluator ...

Machine Learning is a branch of artificial intelligence that enables computers to learn patterns and make decisions from data without being explicitly programmed with rules. Instead of following ...