Blog

A cross-disciplinary group of Stanford students examines the ethical challenges faced by data workers and the companies...

Scholars develop a new framework that optimizes compound AI systems by backpropagating large language model feedback.

The bulk purchase of digital ads through automated placement platforms often matches legitimate ad buyers with websites...

A new study adapts large language models to summarize clinical documents, showing a promising path for AI to improve...

The MIT professor describes practical approaches to improving the internet.

In risk modeling, AI researchers take a more-is-better approach to training data, but a new study argues that a less-is...

Stanford scholar Tobias Gerstenberg explores how humans judge causation and poses the question: What will happen when AI...

A new study reveals the need for benchmarking and public evaluations of AI tools in law.

Robotics and hospital computer vision projects receive NSF grants as part of an innovative pilot program to democratize...

New studies show a marked spike in LLM usage in academia, especially in computer science. What does this mean for...

While these tools show potential in clinical practice, we urgently need a systematic approach to evaluation.

With a bit of prodding, AI-generated propaganda is more effective than propaganda written by humans.