This study conducts a bibliometric analysis of the evolution of ethics, transparency, and
explainability in generative Artificial Intelligence (AI) within decision− making systems from …

Background/Objectives: The use of artificial intelligence (AI) in dermatology is expanding
rapidly, with ChatGPT, a large language model (LLM) from OpenAI, showing promise in …

Background Integrating artificial intelligence (AI) in healthcare settings has the potential to
benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness …

The integration of artificial intelligence (AI) into arbitration marks a significant transformation
in alternative dispute resolution, aiming to enhance efficiency, objectivity, and accessibility …

Machine Learning (ML) systems are capable of reproducing and often amplifying undesired
biases. This puts emphasis on the importance of operating under practices that enable the …

Objective: The incorporation of artificial intelligence (AI) and technological tools into
managerial processes marks a significant evolution in modern leadership practices, driven …

Artificial Intelligence (AI) systems can introduce biases that lead to unreliable outcomes and,
in the worst-case scenarios, perpetuate systemic and discriminatory results when deployed …

Universities are increasingly adopting data-driven strategies to enhance student success,
with AI applications like Learning Analytics (LA) and Predictive Learning Analytics (PLA) …

Explainable AI (XAI) provides methods to understand non-interpretable machine learning
models. However, we have little knowledge about what legal experts expect from these …

Artificial Intelligence (AI) technologies have triggered substantial transformations across
various sectors, yielding benefits and rasing concerns. A significant issue pertains to the …