… ; 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 …

… We organize our review by focusing on concepts related to five central AI trust challenges:
1… In the next section, we discuss the key vulnerabilities domain experts, end users and society …

… , 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 …

… The goal of this study is to get a conceptual understanding of users' actions … users of social
media. They are collaborative co-creators who, contrary to Maslow's needs pyramid, believe …

… 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 …

… with excessive trust in artificial intelligence–driven chatbots … trust influences actual use.
This new understanding contributes to developing a more comprehensive theoretical framework …

… 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 …