Abstract The rise of Artificial Intelligence (AI) usage in the healthcare sector ranges from supporting clinical decisions to managing workflow and assisting on medical imaging. Yet, AI’s ethical value should also be examined through whether it reproduces existing inequities on top of model performance. This review examines algorithmic bias and opacity within healthcare AI and […]

Abstract This paper introduces an Accessibility Focused GQA Variant dataset, AFGV, with the aim of assessing the linguistic accessibility of Visual Question Answering systems for VQA in educational, real-world, and assistive contexts. AFGV performs rewrites of the original prompt that can help assess the models’ sensitivity to lexical variation while holding the image and ground […]

Abstract The long-term relationship between radiative forcing and surface temperature is central to predicting the impacts of climate change. This study employs multicointegration to characterize this relationship and provides the first application of the Transformed and Augmented Ordinary Least Squares (TAOLS) estimator to estimate the multicointegration model. The main objective is to estimate the Equilibrium […]

Abstract This study examines the effects of policy announcements on the sophistication and engagement levels of online political discourse. While existing research has underpinned the idea that major events attract significant attention online, there is a lack of literature examining how the specific type of event affects both the quality of discourse and the technical […]