Traditional recommender systems typically use user-item rating histories as their main data
source. However, deep generative models now have the capability to model and sample …

The risks posed by Artificial Intelligence (AI) are of considerable concern to academics,
auditors, policymakers, AI companies, and the public. However, a lack of shared …

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 …

A major challenge facing the world is the provision of equitable and universal access to
quality education. Recent advances in generative AI (gen AI) have created excitement about …

Knowledge editing has been increasingly adopted to correct the false or outdated
knowledge in Large Language Models (LLMs). Meanwhile, one critical but under-explored …

Google and OpenAI have recently announced major product launches involving artificial
intelligence (AI) agents based on large language models (LLMs) and other generative …

Rapid advancements in large language models makes child-safe design for their youngest
users crucial. This article therefore offers child-centred AI design and policy …

Advanced AI assistants combine frontier LLMs and tool access to autonomously perform
complex tasks on behalf of users. While the helpfulness of such assistants can increase …

This article argues that frontier artificial intelligence (AI) developers need an internal audit
function. First, it describes the role of internal audit in corporate governance: internal audit …

LLM-based applications are helping people write, and LLM-generated text is making its way
into social media, journalism, and our classrooms. However, the differences between LLM …