To address the rising concern that algorithmic decision-making may reinforce discriminatory
biases, researchers have proposed many notions of fairness and corresponding …

This paper investigates how intersectional critical theoretical concepts from social sciences
and humanities research can be worked with in machine learning systems design. It does so …

Trustworthy Artificial Intelligence (TAI) integrates ethics that align with human values, looking
at their influence on AI behaviour and decision-making. Primarily dependent on self …

Although researchers increasingly adopt machine learning to model travel behavior, they
predominantly focus on prediction accuracy, ignoring the ethical challenges embedded in …

This paper presents a systematic review of the literature on evaluation criteria for
Trustworthy Artificial Intelligence (TAI), with a focus on the seven EU principles of TAI. This …

Short-term demand forecasting for on-demand ride-hailing services is a fundamental issue
in intelligent transportation systems. However, previous research predominantly focused on …

Using artificial intelligence (AI) systems for informing high-stakes decisions has become
increasingly pervasive in a variety of domains, including but not limited to hiring, lending, or …

In recent years, Artificial Intelligence (AI) has seen a rapid development where it can aid,
and sometimes completely replace, humans with decision making due to its superior …

La présente contribution soulève un problème relatif à la compatibilité des outils
algorithmiques d'aide à la décision dans l'aide sociale à l'enfance au sein des collectivités …