In this paper, we review algorithmic bias in education, discussing the causes of that bias and
reviewing the empirical literature on the specific ways that algorithmic bias is known to have …

Artificial intelligence (AI) brings forth many opportunities to contribute to the wellbeing of
individuals and the advancement of economies and societies, but also a variety of novel …

In Low-and Middle-Income Countries (LMICs), machine learning (ML) and artificial
intelligence (AI) offer attractive solutions to address the shortage of health care resources …

Online hate is a growing concern on many social media platforms, making them
unwelcoming and unsafe. To combat this, technology companies are increasingly …

This paper defines fair principal component analysis (PCA) as minimizing the maximum
mean discrepancy (MMD) between the dimensionality-reduced conditional distributions of …

Algorithmic biases, or algorithmic unfairness, have been a topic of public and scientific
scrutiny for the past years, as increasing evidence suggests the pervasive assimilation of …

Yapay Zekâ (YZ), makine öğrenmesi, gelişmiş öğrenme ve ileri performans aracılığıyla
süreçlerdeki ekonomiklik, etkinlik ve verimliliği ciddi ölçüde güçlendirme potansiyeline sahip …

The biases introduced by intelligent algorithms have had profound social implications,
making the pursuit of fairness in algorithms a priority for various sectors. In order to achieve …

Understanding how galaxies form and evolve is at the heart of modern astronomy. With the
advent of large-scale surveys, remarkable progress has been made in the last few decades …

Cette synthèse marque symboliquement la douzaine d'années que j'ai passées en tant que
maître de conférences, et la vingtaine d'années pendant lesquelles j'ai consacré la majorité …