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

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

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

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 …

In this paper, we explore why decision subjects generally express a preference for human
reviewers of algorithmic decisions over algorithmic reviewers. We theorise that decision …

Migrants experience unique needs and use social media, in part, to address them. While
prior work has primarily focused on migrant populations who are vulnerable socio …

Data-driven algorithmic and AI systems are increasingly being deployed to automate or
augment decision processes across a wide range of public service settings. Yet community …

The user's experience with a recommender system is significantly shaped by the dynamics
of user-algorithm interactions. These interactions are often evaluated using interaction …

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 …

Artificial Intelligence (AI) is rapidly transforming society, creating an urgent need to ensure its
positive impact. In this article, we take a positive design approach towards this issue …