A scarcity of data within the healthcare sector can present considerable obstacles for a
range of applications, most notably in the implementation and advancement of machine …

Gender bias is a pervasive issue that continues to influence various aspects of society,
including the outcomes of information retrieval (IR) systems. As these systems become …

Artificial intelligence (AI) is often described as crucial for making healthcare safer and more
efficient. However, some studies point in the opposite direction, demonstrating how biases in …

Matthew Kirschenbaum and Rita Raley's clarion call to evolve our language disciplines to
respond to the transformational effects that AI and large language models (LLMs) are having …

Abstract Introduction In Autumn 2023, amendments to the Health and Care Professions
Councils (HCPC) Standards of Proficiency for Radiographers were introduced requiring …

Substantial research over the last ten years has indicated that many generative artificial
intelligence systems (“GAI”) have the potential to produce biased results, particularly with …

Artificial intelligence (AI) experience among nurses in perioperative settings is crucial for
effective healthcare delivery. This study aimed to assess AI literacy levels and associated …

The aim of this study was to demonstrate the relationship between artificial intelligence (AI)
bias and digital public diplomacy based on terminology use in three ChatGPT dialogues we …

In this position paper, we explore the potential of generative AI (GenAI) tools in supporting
HIV prevention initiatives among LGBTQ+ adolescents. GenAI offers opportunities to bridge …

L'essor de la recherche basée sur l'IA dans les soins de santé d'urgence soulève des défis
tels que la conformité à la protection des données et le risque d'accentuer les inégalités en …