Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Forward to the Past

La sfida della Storia in Machines Like Me di Ian McEwan

Bibliographic Data

ID21754483
AuthorsRoberta Ferrari (University of Pisa, corresponding author)
Year2023
Volume44
Pages387-402
Publication date2023-06-01
Open AccessYes
TypeARTICLE
VenueCaietele Echinox (JOURNAL)
Journal identifiersISSN: 1582-960X
PublisherBabes-Bolyai University Cluj-Napoca (PUBLISHER)
DOI10.24193/cechinox.2023.44.26
OpenAlexW4381742711
LanguageEN
References cited3

"In his novel, Machines Like Me (2019), Ian McEwan offers an interesting example of “alternate history” while dealing with crucial ethical issues connected with the development of Artificial Intelligence. Instead of setting his story in the future, the author chooses to set it in the past, but he radically changes the contours of the latter. Hence, the England of the early 1980s is turned into a technologically advanced society, well ahead of the scientific progress of the early 21st century. Thus, the future casts its light on the past in what appears as a typically postmodernist mélange: besides mingling genres (from speculative fiction to uchronia), McEwan also performs an intriguing hybridization of fact and fiction. The paper intends to explore the rich historical dimension of the novel, which betrays the author’s interest in the reflection on history and on its narrativization – as well as its manipulation and/or contamination – within the literary text."

Art · Literature · Computer Science · Contemporary Literature and Criticism · History · Narrative Theory and Analysis · Utopian, Dystopian, and Speculative Fiction

  • Postmodernist Fiction

    Brian Mchale•Postmodernist Fiction•2003

  • Writing Speculative Fiction

    Eugen Bacon•Writing Speculative Fiction•2019

  • In Other Worlds-SF and the Human Imagination

    Daniel Lukes•Utopian Studies•2012

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae