Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Interview mit Theresa Hannig

Dados Bibliográficos

ID22019969
AutoresLars Schmeink (0000-0003-1757-5794, HafenCity University Hamburg, autor correspondente)
Ano2020
Volume7
Fascículo2
Data de publicação2020-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoZeitschrift für Fantastikforschung (JOURNAL)
Identificadores do periódicoISSN: 2192-0885 • E-ISSN: 2753-8494
EditoraOpen Library of the Humanities (PUBLISHER)
DOI10.16995/zff.1893
OpenAlexW3009992552
IdiomaEN
Referências citadas4

The article analyzes Theresa Hannig’s novels, The Optimizers and The Imperfect, as a creative intervention into discourses of the posthuman. Hannig’s work exposes the different arguments regarding the development of sentient robots and artificial intelligences and negotiates posthuman positions of subjectivity, consciousness transfer, and the rights of personhood for artificial beings. The article presents the evolving concepts of an artificially created posthumanity in the novels and reveals Hannig’s perspective on how to deal with a becoming-machine. Publisher's note: This article was originally published as part of issue 8.1. This has been updated to note that this article is part of issue 7.2

Aesthetics · Consciousness · Epistemology · Imperfect · Linguistics · Personhood · Posthuman · Posthumanism · Sociology · Subjectivity · Bioethics and Human Rights Issues · Computer Science · Ethics and Social Impacts of AI · Neuroethics, Human Enhancement, Biomedical Innovations · Philosophy · Artificial Intelligence

  • Mind Children

    Hans Moravec•Mind Children•1990

  • How We Became Posthuman

    N Katherine Hayles•How We Became Posthuman•1999

  • Hopes and fears for intelligent machines in fiction and reality

    Open Access•Syto Cavé, Kanta Dihal•Nature Machine Intelligence•2019

Velocidade de citaçãohistorical
Altamente citadoNão
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae