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

With the ongoing rapid adoption of Artificial Intelligence (AI)-based systems in high-stakes
domains, ensuring the trustworthiness, safety, and observability of these systems has …

In response to rising concerns surrounding the safety, security, and trustworthiness of
Generative AI (GenAI) models, practitioners and regulators alike have pointed to AI red …

This is the interim publication of the first International Scientific Report on the Safety of
Advanced AI. The report synthesises the scientific understanding of general-purpose AI--AI …

State-of-the-art natural language processing (NLP) models are trained on massive training
corpora, and report a superlative performance on evaluation datasets. This survey delves …

Large language models have become popular over a short period of time because they can
generate text that resembles human writing across various domains and tasks. The …

This paper critically explores the implications of generative artificial “intelligence”(GAI)
technologies for literacy theory and practice through a case study of the author's use of …

Large language models (LLMs) are being increasingly integrated into everyday products
and services, such as coding tools and writing assistants. As these embedded AI …

This paper presents a vision for creating AI systems that are inclusive at every stage of
development, from data collection to model design and evaluation. We address key …

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