AI can make mistakes and cause unfavorable consequences. It is important to know how
people react to such AI-driven negative consequences and subsequently evaluate the …

Artificial intelligence (AI) is pervading the government and transforming how public services
are provided to consumers across policy areas spanning allocation of government benefits …

Prior work has identified a resilient phenomenon that threatens the performance of human-
AI decision-making teams: overreliance, when people agree with an AI, even when it is …

With technological developments in artificial intelligence, algorithms are increasingly
capable to perform tasks that were considered to be unique for humans. However, literature …

Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence,
decision-making in contemporary societies is increasingly delegated to automated …

The increased use of algorithms to support decision making raises questions about whether
people prefer algorithmic or human input when making decisions. Two streams of research …

Owing to advancements in artificial intelligence (AI) and specifically in machine learning,
information technology (IT) systems can support humans in an increasing number of tasks …

Objective A self-report measure of the perfect automation schema (PAS) is developed and
tested. Background Researchers have hypothesized that the extent to which users possess …

Interactive AI systems such as voice assistants are bound to make errors because of
imperfect sensing and reasoning. Prior human-AI interaction research has illustrated the …

Automated procedural and decision aids may in some cases have the paradoxical effect of
increasing errors rather than eliminating them. Results of recent research investigating the …