TD Jui, P Rivas - International Journal of Machine Learning and …, 2024 - Springer
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 …
W Zhang, JC Weiss - 2021 IEEE international conference on …, 2021 - ieeexplore.ieee.org
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 …
Z Chu, Z Wang, W Zhang - ACM SIGKDD explorations newsletter, 2024 - dl.acm.org
Large Language Models (LLMs) have demonstrated remarkable success across various domains. However, despite their promising performance in numerous real-world …
H Vainio-Pekka, MOO Agbese, M Jantunen… - ACM Transactions on …, 2023 - dl.acm.org
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 …
X Huang, X Tang, W Zhang, J Zhang, M Zhang… - the 23rd international …, 2021 - dl.acm.org
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 …