Large Language Models (LLMs) have shown powerful performance and development
prospects and are widely deployed in the real world. However, LLMs can capture social …

The advent and growing popularity of generative artificial intelligence (GenAI) holds the
potential to revolutionise AI applications in forensic psychiatry and criminal justice, which …

In this article, we introduce and discuss the pervasive issue of bias in the large language
models that are currently at the core of mainstream approaches to Natural Language …

ChatGPT is an AI-powered chatbot platform that enables human users to converse with
machines. It utilizes natural language processing and machine learning algorithms …

Referring image segmentation is a fundamental vision-language task that aims to segment
out an object referred to by a natural language expression from an image. One of the key …

As the reach of large language models (LMs) expands globally, their ability to cater to
diverse cultural contexts becomes crucial. Despite advancements in multilingual …

Large Language Models (LLMs) inherently carry the biases contained in their training
corpora, which can lead to the perpetuation of societal harm. As the impact of these …

This paper reports on disability representation in images output from text-to-image (T2I)
generative AI systems. Through eight focus groups with 25 people with disabilities, we found …

Large language models (LLMs) trained on real-world data can inadvertently reflect harmful
societal biases, particularly toward historically marginalized communities. While previous …

Diversity in datasets is a key component to building responsible AI/ML. Despite this
recognition, we know little about the diversity among the annotators involved in data …