Despite being the fastest-growing field because of its ability to enhance competitive
advantage, there are concerns about the inherent fairness in Artificial Intelligence (AI) …

In 2016, an investigative journalism group called ProPublica analyzed COMPAS, a
recidivism prediction algorithm based on machine learning used in the US criminal justice …

The widespread use of artificial intelligence (AI) systems across various domains is
increasingly highlighting issues related to algorithmic fairness, especially in high-stakes …

Artificial intelligence (AI) has rapidly become one of the technologies used for competitive
advantage. However, there are also growing concerns about bias in AI models as AI …

The topic of algorithmic fairness is of increasing importance to the Human–Computer
Interaction research community following accumulating concerns regarding the use and …

Fairness is a concept of justice. Various definitions exist, some of them conflicting with each
other. In the absence of an uniformly accepted notion of fairness, choosing the right kind for …

Artificial Intelligence (AI) has emerged as a transformative force across numerous domains,
from healthcare to finance and beyond. However, as AI systems become increasingly …

Abstract Machine learning algorithms are widely used in management systems in different
fields, such as employee recruitment, loan provision, disease diagnosis, etc., and even in …

Algorithmic decision-making increasingly shapes people's daily lives. Given that such
autonomous systems can cause severe harm to individuals and social groups, fairness …

Abstract Machine learning algorithms can now identify patterns and correlations in (big)
datasets and predict outcomes based on the identified patterns and correlations. They can …