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University of Wales Trinity Saint David

Humans and Representations of AI in (Science) Fiction

Abstract

dc:description.abstract

In this dissertation, I am interested in the concept of SF and the representation of AI in two classical SF novels and two contemporary texts which will be referred to as rather-SF. The primary text used are Isaac Asimov’s The Naked Sun, Philip K. Dick’s Do Androids Dream of Electric Sheep?, Ian McEwan’s Machines Like Me and Kazuo Ishiguro’s Klara and the Sun. SF is seen as having a material and a metaphorical component, while the umbrella-term AI is seen to be embodied as robot and android, or more generally as human-like artificial entity. Depending on whether the AI figures appear in a classical SF text or in a rather-SF text, the meaning of the novum shifts. In the first case, the AI figure is a material embodiment of a technology-driven future, while in the second case, it is an artificial companion for humans, living in the same space and having its own understanding of language, emotion and art. In both cases nevertheless, a relationship between human and AI is constructed, and, even if it is the human who creates the AI, it is the AI who plays a central role in the reshaping of human character and behaviour, even of the human self.

Degree

thesis:*
Name dc:type.qualificationname
ma
Level dc:type.qualificationlevel
masters
Grantor dc:publisher.institution
University of Wales Trinity Saint David
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Grosser, Diana

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Dc Identifier Grantnumber
UWTSD
OAI identifier oai:identifier
oai:repository.uwtsd.ac.uk:2913

Chain of custody

source
Harvested from
University of Wales Trinity Saint David
Base URL
repository.uwtsd.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Grosser, Diana. Humans and Representations of AI in (Science) Fiction. masters thesis, University of Wales Trinity Saint David, 2023. https://doi.org/10.82227/repository.uwtsd.ac.uk.00002913