Large-scale Text-to-image Generation Models (LTGMs)(eg, DALL-E), self-supervised deep
learning models trained on a huge dataset, have demonstrated the capacity for generating …

The revolution of artificial intelligence (AI), particularly generative AI, and its implications for
human–robot interaction (HRI) opened up the debate on crucial regulatory, business …

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

Large Language Models (LLMs) have become the backbone of numerous writing interfaces
with the goal of supporting end-users across diverse writing tasks. While LLMs reduce the …

Generative machine learning models have recently been applied to source code, for use
cases including translating code between programming languages, creating documentation …

Explainable AI (XAI) is widely viewed as a sine qua non for ever-expanding AI research. A
better understanding of the needs of XAI users, as well as human-centered evaluations of …

Explainability (XAI) has matured in recent years to provide more human-centered
explanations of AI-based decision systems. While static explanations remain predominant …

Trustworthy Artificial Intelligence (AI) is characterized, among other things, by: 1)
competence, 2) transparency, and 3) fairness. However, end-users may fail to recognize …

In recent times, the progress of machine learning has facilitated the development of decision
support systems that exhibit predictive accuracy, surpassing human capabilities in certain …

Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic
content across different formats like images, videos, and text. In Generative AI, human …