Iuliia Paramonova

The increasing use of autonomous and intelligent machines for strategic decision-making has disrupted the way that humans, organizations, and societies relate to technology. This phenomenon has raised awareness of the potential gains and losses of using such disruptive technologies, and the need to maintain more ethical, responsible, and trustworthy systems. This article stresses the importance of adopting an analytical view to incorporate end users’ trust experiences during different human-centered design (HCD) problem-solving phases. The aim is to facilitate and support the integration of humans and systems, because otherwise, the consequence could be the failure of AI. It builds from the Human–Computer Interaction (HCI) body of knowledge, highlighting the importance of studying users’ trust behavior to calibrate human system integration and mitigate possible communication challenges in system design. The article argues for the need to use Human–Computer Trust Scale (HCTS) as a research lens to enhance users’ trust in current human–machine interrelations (HMI). Its goal is to help system designers and engineers further reflect on the potential benefits of using human trust factors as a driving element to create more trustworthy HMI collaborations.