Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might
improve research. Why are AI tools so attractive and what are the risks of implementing them …

Background Artificial intelligence (AI), machine learning and deep learning (including
generative AI) are increasingly being investigated in the context of research and …

This paper investigates the direct risks and harms associated with modern text-to-image
generative models, such as DALL-E and Midjourney, through a comprehensive literature …

We leveraged the power of ChatGPT and Bayesian optimization in the development of a
multi-AI-driven system, backed by seven large language model-based assistants and …

Abstract Intelligent Transportation Systems (ITS) face the formidable challenge of large-
scale missing data, particularly in the imputation of traffic data. Existing studies have mainly …

Large language models have shown tremendous performance in a variety of tasks. In-
context learning--the ability to improve at a task after being provided with a number of …

Interpretable machine learning has exploded as an area of interest over the last decade,
sparked by the rise of increasingly large datasets and deep neural networks …

Although Large Language Models (LLMs) have shown great potential in Natural Language
Generation, it is still challenging to characterize the uncertainty of model generations, ie …

As language models are adapted by a more sophisticated and diverse set of users, the
importance of guaranteeing that they provide factually correct information supported by …

The development of large language models (LLMs) is a recent success in the field of
generative artificial intelligence (AI). They are computer models able to perform a wide …