Recent research claims that information cues and system attributes of algorithmic decision-
making processes affect decision subjects' fairness perceptions. However, little is still known …

Appropriate trust in Artificial Intelligence (AI) systems has rapidly become an important area
of focus for both researchers and practitioners. Various approaches have been used to …

Following the release of large language models in the late 2010s, the backers of this new
type of artificial intelligence (AI) publicly affirmed that the technology is controversial and …

Local governments increasingly use artificial intelligence (AI) for automated decision-
making. Contestability, making systems responsive to dispute, is a way to ensure they …

This article discusses the potential sources and consequences of unfairness in artificial
intelligence (AI) predictive tools used for anti-corruption efforts. Using the examples of three …

Human-AI decision making is becoming increasingly ubiquitous, and explanations have
been proposed to facilitate better Human-AI interactions. Recent research has investigated …

Policymakers have established that the ability to contest decisions made by or with
algorithms is core to responsible artificial intelligence (AI). However, there has been a …

Significant and rapid advancements in cancer research have been attributed to Artificial
Intelligence (AI). However, AI's role and impact on the clinical side has been limited. This …

Participatory machine learning (ML) encourages the inclusion of end users and people
affected by ML systems in design and development processes. We interviewed 18 …

AI has become pervasive in recent years, but state-of-the-art approaches predominantly
neglect the need for AI systems to be contestable. Instead, contestability is advocated by AI …