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

It's one of AI policy's hardest unsolved problems. Expert Deb Raji joins Stanford HAI to find answers that move beyond ...

Over three years, we’ve built progressively harder, more realistic benchmarks for medical AI. Here’s what we learned.

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 ...

Artificial Hivemind is a network of AI systems or agents that share information, coordinate their actions, and operate collectively, often appearing to function as a single intelligence. For example, ...

Passionate people are essential to the work and progress of our organization. From our leaders and advisors to faculty, fellows, and support staff, we all share a commitment to the mission of guiding ...

The integrated set of software, hardware, and computing capabilities that supports the full AI lifecycle, from model design and training to deployment, monitoring, and maintenance. It includes the ...

An attack where an adversary intentionally inserts, alters, or mislabels data in a machine-learning model’s training dataset to manipulate its behavior or performance. This deliberate interference is ...

Most AI models treat every question the same way, running all of their processing power on every task. A mixture of experts works differently. Instead of one generalist system handling everything, the ...

A network of AI systems or agents that share information, coordinate their actions, and operate collectively, often appearing to function as a single intelligence. For example, a fleet of delivery ...