The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in
the evolution of information technology. With AIGC, it can be effortless to generate high …

Large language models (LLMs) are increasingly adopted in educational contexts to provide
personalized support to students and teachers. The unprecedented capacity of LLM‐based …

Information about pretraining corpora used to train the current best-performing language
models is seldom discussed: commercial models rarely detail their data, and even open …

External audits of AI systems are increasingly recognized as a key mechanism for AI
governance. The effectiveness of an audit, however, depends on the degree of access …

The past year has seen a steep rise in generative AI systems that claim to be open. But how
open are they really? The question of what counts as open source in generative AI is poised …

General-purpose artificial intelligence (AI) systems are built on massive swathes of public
web data, assembled into corpora such as C4, RefinedWeb, and Dolma. To our knowledge …

Web-crawled pretraining datasets underlie the impressive" zero-shot" evaluation
performance of multimodal models, such as CLIP for classification and Stable-Diffusion for …

Growing interest and investment in the capabilities of foundation models has positioned
such systems to impact a wide array of services, from banking to healthcare. Alongside …

We introduce LlavaGuard a family of multimodal safe-guard models based on Llava offering
a robust framework for evaluating the safety compliance of vision datasets and models. Our …

AI progress is creating a growing range of risks and opportunities, but it is often unclear how
they should be navigated. In many cases, the barriers and uncertainties faced are at least …