Influential Machines : The Rhetoric of Computational Performance.

Format:

Book

Author/Creator:

Coleman, Miles C.

Language:

English

Subjects (All):

Ambient intelligence--Case studies.

Ambient intelligence.

Voice computing--Case studies.

Voice computing.

Rhetoric--Social aspects--Case studies.

Rhetoric.

Interactive computer systems--Case studies.

Interactive computer systems.

Genre:

Case studies

Electronic books.

Physical Description:

1 online resource (182 pages)

Edition:

1st ed.

Place of Publication:

Columbia : University of South Carolina Press, 2023.

Summary:

"A new framework for understanding how algorithms influence Web applications offer us conclusions about science. Twitter bots generate art. Machine-learning systems satirize politicians. We live in an era where a substantial share of our private and public communication is machinic. Modern computing machines cannot yet speak for themselves-although the capacities of AI are rapidly expanding-but they generate rhetorical energies as they give advice, entertain, and proffer insight, speaking to human concerns in more-than-human ways and guiding human action. In Influential Machines Miles C. Coleman looks beyond human communication to interrogate the ways in which the machines and algorithms in our lives make meaning and the implications of their special modes of communication. Using the varied examples of an anti-vax "vaccine calculator," two Twitterbots, and the computational performances of virtual assistants, Coleman asks what machines mean to us as social agents and whether humans are the appropriate reference for designing machine communication. Coleman goes beyond the front and back ends of computing to describe the "deep end" of computing, a site of ambient rhetoric that is essential for understanding how machines move in today's digital world"-- Provided by publisher.

Contents:

Introduction: Locating the energies of computational performance

Manufactured processing, ritual, and expert systems

Processual magnitude, the sublime, and computational poiesis

Processual signaling, compulsion, and neural networks

Designing computational performances to actively contribute positive energies

Leveraging the rhetorical energies of machines.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

ISBN:

1-64336-460-X

OCLC:

1394064021

Access Restriction:

Open Access Unrestricted online access