  In the media, in policy-making, but also in research articles, algorithmic
decision-making (ADM) systems are referred to as algorithms, artificial
intelligence, and computer programs, amongst other terms. We hypothesize that
such terminological differences can affect people's perceptions of properties
of ADM systems, people's evaluations of systems in application contexts, and
the replicability of research as findings may be influenced by terminological
differences. In two studies (N = 397, N = 622), we show that terminology does
indeed affect laypeople's perceptions of system properties (e.g., perceived
complexity) and evaluations of systems (e.g., trust). Our findings highlight
the need to be mindful when choosing terms to describe ADM systems, because
terminology can have unintended consequences, and may impact the robustness and
replicability of HCI research. Additionally, our findings indicate that
terminology can be used strategically (e.g., in communication about ADM
systems) to influence people's perceptions and evaluations of these systems.
