Generating authenticity in automated work

Abstract

In an increasing number of domains, people interact with automated agents (such as algorithms, robots, and computers) instead of humans. Across five studies, we explore the role of authenticity in shaping people's reactions to automated agents' work. In doing so, we examine two basic ways to generate authenticity in autonomous technological work: (a) highlighting the human origins of autonomous technologies and (b) anthropomorphizing autonomous technologies, or presenting them with human-like qualities. We find strong evidence that human origin stories generate authenticity, but much less evidence that simple anthropomorphic cues do so to the same degree (Studies 1-3). Simply prompting people to consider human origins can also generate attributions of authenticity (Study 4), which translates into intended and recommended support for automated work (Study 5). We discuss how managers of organizations can implement automated systems in ways that encourage attributions of authenticity. (PsycInfo Database Record (c) 2022 APA, all rights reserved).