3 citations · 7 across the 6 of their papers we have counts for
6 papers
Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment
Asma Yamani, Malak Baslyman, Moataz Ahmed
Large Language Models (LLMs) are increasingly employed in software engineering tasks such as requirements elicitation, design, and evaluation, raising critical questions regarding…
Multi-Agent LLMs as Ethics Advocates for AI-Based Systems
Asma Yamani, Malak Baslyman, Moataz Ahmed
Incorporating ethics into the requirement elicitation process is essential for creating ethically aligned systems. Although eliciting manual ethics requirements is effective, it re…
Data Requirement Goal Modeling for Machine Learning Systems
Asma Yamani, Nadeen AlAmoudi, Salma Albilali +2
Machine Learning (ML) has been integrated into various software and systems. Two main components are essential for training an ML model: the training data and the ML algorithm. Giv…
Leveraging LLMs for User Stories in AI Systems: UStAI Dataset
Asma Yamani, Malak Baslyman, Moataz Ahmed
AI systems are gaining widespread adoption across various sectors and domains. Creating high-quality AI system requirements is crucial for aligning the AI system with business goal…
Text-to-Image Representativity Fairness Evaluation Framework
Asma Yamani, Malak Baslyman
Text-to-Image generative systems are progressing rapidly to be a source of advertisement and media and could soon serve as image searches or artists. However, there is a significan…
Establishing Heuristics for Improving the Usability of GUI Machine Learning Tools for Novice Users
Asma Yamani, Haifa Alshammare, Malak Baslyman
Machine learning (ML) tools with graphical user interfaces (GUI) are facing demand from novice users who do not have the background of their underlying concepts. These tools are fr…