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

Regardless of how far or fast AI is deployed, its success in the workplace will hinge less on the technology itself and more ...

Analyzing thousands of human-AI conversations, a new study shows that people are turning to chatbots for increasingly critical tasks – and that productive outcomes depend on how the collaboration ...

This paper examines how nonprofits and frontier AI labs partner to deploy AI for social good and offers recommendations for structuring these partnerships for greater impact. Frontier AI labs and ...

The emergence of artificial intelligence (AI) is among the most consequential forces of the 21st century: AI and related technologies are already transforming economies, challenging legal and ...

This AI program covers technical fundamentals, business implications, and societal considerations.

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

Multimodal AI refers to artificial intelligence systems that can process, understand, and generate multiple types of data modalities simultaneously—such as text, images, audio, and video. Unlike ...

Human-in-the-Loop refers to AI systems that include human feedback or intervention as part of their operation. In these systems, humans may provide guidance, correct errors, or make final decisions to ...

A Transformer is a neural network architecture that revolutionized AI by using a mechanism called "attention" to process and understand relationships between all parts of input data simultaneously, ...

Clinical Mind AI is a Stanford-developed, international collaborative platform designed to strengthen clinical reasoning education through AI-simulated patient encounters across health professions.