  As AI-enhanced technologies become common in a variety of domains, there is
an increasing need to define and examine the trust that users have in such
technologies. Given the progress in the development of AI, a correspondingly
sophisticated understanding of trust in the technology is required. This paper
addresses this need by explaining the role of trust on the intention to use AI
technologies. Study 1 examined the role of trust in the use of AI voice
assistants based on survey responses from college students. A path analysis
confirmed that trust had a significant effect on the intention to use AI, which
operated through perceived usefulness and participants' attitude toward voice
assistants. In study 2, using data from a representative sample of the U.S.
population, different dimensions of trust were examined using exploratory
factor analysis, which yielded two dimensions: human-like trust and
functionality trust. The results of the path analyses from Study 1 were
replicated in Study 2, confirming the indirect effect of trust and the effects
of perceived usefulness, ease of use, and attitude on intention to use.
Further, both dimensions of trust shared a similar pattern of effects within
the model, with functionality-related trust exhibiting a greater total impact
on usage intention than human-like trust. Overall, the role of trust in the
acceptance of AI technologies was significant across both studies. This
research contributes to the advancement and application of the TAM in
AI-related applications and offers a multidimensional measure of trust that can
be utilized in the future study of trustworthy AI.
