The impact of automated decision-making systems on human lives is growing, emphasizing
the need for these systems to be not only accurate but also fair. The field of algorithmic …

With the increasing influence of machine learning algorithms in decision-making processes,
concerns about fairness have gained significant attention. This area now offers significant …

Android malware detection has attracted much attention in recent years. Existing methods
mainly research on extracting static or dynamic features from mobile apps and build mobile …

There has been concern within the artificial intelligence (AI) community and the broader
society regarding the potential lack of fairness of AI-based decision-making systems …

Large Language Models (LLMs) have demonstrated remarkable success across various
domains. However, despite their promising performance in numerous real-world …

Ethics of Artificial Intelligence (AI) is a growing research field that has emerged in response
to the challenges related to AI. Transparency poses a key challenge for implementing AI …

Language Models (LMs) have demonstrated exceptional performance across various
Natural Language Processing (NLP) tasks. Despite these advancements, LMs can inherit …

Decisions made by machine learning models may have lasting impacts over time, making
long-term fairness a crucial consideration. It has been shown that when ignoring the long …

In this paper, we design and implement a generic medical knowledge based system (MKBS)
for identifying diseases from several symptoms. In this system, some important aspects like …

Recently, advanced AI systems equipped with sophisticated learning algorithms have
emerged, enabling the processing of extensive streaming data for online decision-making in …