… ; while in some cases highly intelligent machines are acting in their full capacity, in others the
… trust of human users, and thus address the perceived machine intelligence from the users’ …

… (N = 1448 articles), we use a SLR approach also to identify the drivers … framework which
sheds light on the drivers and outcomes of AI adoption for innovation, thus offering a theoretical …

… information, ie, the conceptual framework, is to highlight the … We believe this approach will
create an interest and curiosity … for operators and users to understand, trust, and effectively …

… To better understand the factors that affect trust in AIED systems from the perspective of
users, we adopted an exploratory approach for two reasons. First, AI creates a new environment …

… artificial intelligence and automated decision-making systems. We address the topic of
transparency in artificial intelligence … transparency for users of artificial intelligence technologies …

… , deployment, and use. With this article we aim … trust in persons and technology and their
respective trusting beliefs. In particular, we strive for a thorough contextualization of specific trust …

… We consider ‘artificial intelligence’ to be any automation that is attributed with intent by the
user [… trust that we will use to define Human-AI trust. Indeed, “anticipation” occurs when a …

… Typically, end users have a rather low level of … users to improve both expertise dimensions.
We illustrate the psychological hypothesis that some end users manifest deviant simple trust …

… Trust in artificial intelligence A common definition of trust is the willingness to be vulnerable
to … Consequently, companies may use our identified requirements for building trust in AI as a …

… factor contributing to the development of user trust. The resulting behavior of a … conceptual
framework for researchers to capture contemporary and dynamic issues relevant to trust …