Affiliation:
1. Department of Rhetoric and Writing, University of Texas at Austin
Abstract
ABSTRACT
In order to explore the possibilities of affirmative ethics and algorithmic judgment, this article puts machinic rhetoric in conversation with classical imitation pedagogy. Taking a machine-learning chatbot as my example, I examine how imitation and repetition in a restrictive economy of rhetorical models produces a limited affirmative ethics through dialectical relations. Drawing on Hannah Arendt's concept of representative thinking to theorize a procedure for algorithmic judgment, I argue that rhetorical training requires the affirmation of a plurality of models if it is to generate not only versatility but also ethical repetitions.
Publisher
The Pennsylvania State University Press