Objective The present meta-analysis sought to determine significant factors that predict trust
in artificial intelligence (AI). Such factors were divided into those relating to (a) the human …

Artificial intelligence (AI) characterizes a new generation of technologies capable of
interacting with the environment and aiming to simulate human intelligence. The success of …

Artificial Intelligence (AI) can benefit society, but it is also fraught with risks. Societal adoption
of AI is recognized to depend on stakeholder trust in AI, yet the literature on trust in AI is …

In the next section, we provide an overview of the research methodology used. In the
concluding section, we draw on the survey insights to identify evidencebased pathways for …

With the rise of artificial intelligence (AI), the issue of trust in AI emerges as a paramount
societal concern. Despite increased attention of researchers, the topic remains fragmented …

Artificial intelligence (AI) refers to technologies which support the execution of tasks normally
requiring human intelligence (eg, visual perception, speech recognition, or decision …

Objective: We used meta-analysis to assess research concerning human trust in automation
to understand the foundation upon which future autonomous systems can be built …

The artificial intelligence (AI) revolution is upon us, with the promise of advances such as 98
driverless cars, smart buildings, automated health diagnostics and improved security 99 …

Objective: We systematically review recent empirical research on factors that influence trust
in automation to present a three-layered trust model that synthesizes existing knowledge …

With the growing influence of artificial intelligence (AI) in our lives, the ethical implications of
AI have received attention from various communities. Building on previous work on trust in …