Purpose Following the surge of documents laying out organizations' ethical principles for
their use of artificial intelligence (AI), there is a growing demand for translating ethical …

Incorporating machine learning (ML) components into software products raises new
software-engineering challenges and exacerbates existing ones. Many researchers have …

Artificial intelligence (AI), which refers to both a research field and a set of technologies, is
rapidly growing and has already spread to application areas ranging from policing to …

Technological advancements in computer science have started to bring artificial intelligence
(AI) from the bench closer to the bedside. While there is still lots to do and improve, AI …

Of the many commercial and scientific opportunities provided by large language models
(LLMs; including Open AI's ChatGPT, Meta's LLaMA, and Anthropic's Claude), one of the …

The organizational use of artificial intelligence (AI) has rapidly spread across various
sectors. Alongside the awareness of the benefits brought by AI, there is a growing …

While there is widespread consensus that artificial intelligence (AI) needs to be governed
owing to its rapid diffusion and societal implications, the current scholarly discussion on AI …

Abstract Machine learning (ML) models have gained significant attention in a variety of
applications, from computer vision to natural language processing, and are almost always …

The development and increasing use of artificial intelligence (AI), particularly in high-risk
application areas, calls for attention to the governance of AI systems. Organizations and …

While observing the race for Artificial Intelligence (AI) regulation and global governance,
public organizations are faced with the need to structure themselves so that their AI systems …