Can Taxonomists Think? Reversing the AI Equation

Abstract

Confusion between the means and ends, specifically between technological achievements and their users, has been evident in taxonomy’s history since the end of the last century. Following a current of thought implicit in Anglo-Saxon culture, this trend aligns with the idea of inevitability. It is inevitable, so it is thought, that what a human organism can do, a machine will be able to do at some point in time. This will ultimately lead to dispensing with the human element for things they do not wish to do themselves. Despite certain misunderstandings about what has become known as the Turing Test, the general idea is to determine whether a machine can analyze data as meaningfully as a human does and make decisions based on that analysis. In the case of taxonomy, the initial aim of using machines was to efficiently replace a researcher for identification purposes. The situation later evolved to include the discovery of new entities in addition to identification. In this essay, I provide a brief overview of some milestones along this trajectory and its current state and discuss the influence of artificial intelligence (AI) in taxonomy.