This systematic review aims to explore published research on the use of ChatGPT in
language learning between November 2022 and November 2023, outlining the types of …

Artificial Intelligence (AI) in medical applications holds great promise. However, the use of
Machine Learning-based (ML) systems in clinical practice is still minimal. It is uniquely …

Aim/Purpose This paper aims to investigate the recent developments in research and
practice on the transformation of professional skills by artificial intelligence (AI) and to …

What does it mean for a generative AI model to be explainable? The emergent discipline of
explainable AI (XAI) has made great strides in hel** people understand discriminative …

Artificial intelligence (AI) presents new challenges for the user experience (UX) of products
and services. Recently, practitioner-facing resources and design guidelines have become …

Various tools and practices have been developed to support practitioners in identifying,
assessing, and mitigating fairness-related harms caused by AI systems. However, prior …

The introduction of machine learning (ML) components in software projects has created the
need for software engineers to collaborate with data scientists and other specialists. While …

Technology companies continue to invest in efforts to incorporate responsibility in their
Artificial Intelligence (AI) advancements, while efforts to audit and regulate AI systems …

An emerging body of research indicates that ineffective cross-functional collaboration–the
interdisciplinary work done by industry practitioners across roles–represents a major barrier …

Advances in artificial intelligence have enabled unprecedented technical capabilities, yet
making these advances useful in the real world remains challenging. We engaged in a …