How can users be literate of systems that evade the comprehension of even the experts who created them? For generative A.I., such a literacy seems to depend upon terms of art: misleading homonyms like ‘explainable’, ‘memorization’, ‘natural’, etc. In the field of computer science, terms of art serve as metrics to quantitatively evaluate A.I. performance with the aim of achieving greater efficiency in the tasks those systems were programmed to perform in the first place. Apparently, machine intelligence has blasted off; it approaches infinity and beyond while we stand still. With this post, I attempt to carve off a clean…
Author: Jared Jameson
Kirkwood Adams
Jared Jameson is a composition instructor and doctoral student at Clemson University in the interdisciplinary Rhetoric, Communication, and Information Design program. His current research centers on the intersections between rhetorical theory, cognitive science, and artificial intelligence.