Conversing with Machines: Affective Affinities with Vocal Bodies
Abstract
This article examines how the emergence of speech-driven interfaces for computational devices alters our affective relationships with machines, and argues that the rise of intelligent personal assistants such as Siri, Watson and Alexa calls for the question of affect to be brought to the centre of discourse around artificial intelligence (AI). It departs from the early imaginings and manifestations of human-computer conversations in the work of Turing and Weizenbaum, then introduces a Spinozan framework for theorising the transmission of affect and its ethical implications. It examines the affective economy engendered by vocal interfaces, drawing on a range of theories which focus on sound not only as an object of study, but also as a conceptual paradigm. It concludes by arguing that the machine voice constitutes a form of embodiment, and that according computers this “body” and inviting us to converse with them enhances our ability to enter into a sensuous relationship with them.
Keywords
Artificial intelligence, affect, Turing test, voice, sonic theory
Author Biography
Hannah Lammin
Hannah Lammin recently completed her PhD in philosophy at the University of Greenwich. Her current research is concerned with AI and the philosophy of language. Publications include: “Seeing InPhoto: Non-Photography as Positive Barbarism”, Parallax 24.2 (2018); “A Paradoxical Architecture: Babel, and the founding of community through the confounding of tongues” Zetesis 1.1 (2013); “ACT Oedipus: Digital Theatre and the Apocalyptic Structure of Re/presentation” Philosophy of Photography 3.1 (2012). She lectures in media theory at the University of Greenwich, and in contextual studies at University of the Arts London.