Recent years have witnessed the wide adoption of large language models (LLM) in different
fields, especially natural language processing and computer vision. Such a trend can also …

Coffee bean production can encounter challenges due to fluctuations in global coffee prices,
impacting the economic stability of some countries that heavily depend on coffee production …

This paper introduces the concept of actionability in the context of bias measures in natural
language processing (NLP). We define actionability as the degree to which a …

The use of machine learning models in high-stake applications (eg, healthcare, lending,
college admission) has raised growing concerns due to potential biases against protected …

Nowadays, research into personalization has been focusing on explainability and fairness.
Several approaches proposed in recent works are able to explain individual …

Recent advancements in general-purpose AI have highlighted the importance of guiding AI
systems towards the intended goals, ethical principles, and values of individuals and …

Recommender systems have become essential in aiding users' decision-making processes,
yet ensuring users understand the rationale behind recommendations remains a challenge …

Recently, there has been a surge in deploying Large Language Models (LLMs) for decision-
making tasks, such as income prediction and crime risk assessments. Due to the bias …