Unfair behaviors of Machine Learning (ML) software have garnered increasing attention and
concern among software engineers. To tackle this issue, extensive research has been …

In recent years, artificial intelligence technology has been widely used in many fields, such
as computer vision, natural language processing and autonomous driving. Machine learning …

Recently, there has been significant growth of interest in applying software engineering
techniques for the quality assurance of deep learning (DL) systems. One popular direction is …

AI-powered systems have gained widespread popularity in various domains, including
Autonomous Vehicles (AVs). However, ensuring their reliability and safety is challenging …

As machine learning software increasingly shapes crucial decisions in our daily lives,
ensuring the fairness of these decisions is paramount. Individual fairness guarantees non …

Deep neural networks (DNNs) have shown powerful performance in various applications
and are increasingly being used in decisionmaking systems. However, concerns about …

Ensuring that all classes of objects are detected with equal accuracy is essential in AI
systems. For instance, being unable to identify any one class of objects could have fatal …

Artificial Intelligence (AI) has demonstrated remarkable capabilities in domains such as
recruitment, finance, healthcare, and the judiciary. However, biases in AI systems raise …

With the staggering growth of language models in the last few years, language technology is
rapidly taking over some of the most influential procedures in modern society such as …

Machine learning models are trained by iteratively fitting their parameters to the features of
training data. These features may correlate to sensitive attributes such as race, age, or …