There are pronounced differences in the extent to which industrial and academic AI labs use computing resources. We provide a data-driven survey of the role of the compute divide in shaping machine learning research. We show that a compute divide has coincided with a reduced representation of...

In this work, we examined how fact-checkers prioritize which claims to inspect for further investigation and publishing, and what tools may assist them in their efforts. Specifically, through a series of interviews with 23 professional fact-checkers from around the world, we validated that harm...

In an ever-evolving world, the dynamic nature of knowledge presents challenges for language models that are trained on static data, leading to outdated encoded information. However, real-world scenarios require models not only to acquire new knowledge but also to overwrite outdated information into...