5 papers
Practitioner Insights on Fairness Requirements in the AI Development Life Cycle: An Interview Study
Chaima Boufaied, Thanh Nguyen, Ronnie de Souza Santos
Nowadays, Artificial Intelligence (AI), particularly Machine Learning (ML) and Large Language Models (LLMs), is widely applied across various contexts. However, the corresponding m…
Intersectional Fairness in Large Language Models
Chaima Boufaied, Ronnie De Souza Santos, Ann Barcomb
Large Language Models (LLMs) are increasingly deployed in socially sensitive settings, raising concerns about fairness and biases, particularly across intersectional demographic at…
A Gray Literature Study on Fairness Requirements in AI-enabled Software Engineering
Thanh Nguyen, Chaima Boufaied, Ronnie de Souza Santos
Today, with the growing obsession with applying Artificial Intelligence (AI), particularly Machine Learning (ML), to software across various contexts, much of the focus has been on…
Security Debt in Practice: Nuanced Insights from Practitioners
Chaima Boufaied, Taher Ghaleb, Zainab Masood
With the increasing reliance on software and automation nowadays, tight deadlines, limited resources, and prioritization of functionality over security can lead to insecure coding…
A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection
Shan Ali, Chaima Boufaied, Domenico Bianculli +2
Growth in system complexity increases the need for automated log analysis techniques, such as Log-based Anomaly Detection (LAD). While deep learning (DL) methods have been widely u…