Psychological Resilience in Human-AI Relationships: A Reading of Ian McEwan’s Machines Like Me

Resilience is usually characterized in psychology as an individual's capacity to withstand adversity and recuperate from trauma. Nevertheless, the emergence of advanced artificial intelligence necessitates a reevaluation of this notion. This research analyzes Ian McEwan’s Machines Like Me to investigate how resilience manifests as both a personal characteristic and a relational, developmental phenomenon influenced by human–AI interactions. This study employs established psychological theories of resilience and a detailed textual analysis of McEwan’s story to position resilience as a dynamic construct that develops through reciprocal adaptation, emotional connection, and ethical negotiation between humans and machines. The study examines critical interactions among Charlie, Miranda, and Adam, illustrating how resilience is redefined within the framework of relational interdependence, collective ethical issues, and shifting identities. Research indicates that McEwan’s novel depicts resilience as an adaptive, transformational process rather than a static personal trait, emerging from the co-construction of meaning and emotional symbiosis between humans and AI. This reframing underscores the necessity of expanding psychological and literary understandings of resilience to include human–technology relationships, ultimately illustrating that resilience in the age of AI is not solely individualistic but relational, ethical, and identity-forming.

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Publication Details

Journal
ILN Journal: Indian Literary Narratives.
Published
2025-09-30
DOI
https://doi.org/10.70396/ilnjournal.v2n3.a.10
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Psychological Resilience in Human-AI Relationships: A Reading of Ian McEwan’s Machines Like Me

R Gayatri, Dr Lalitha P
ILN Journal: Indian Literary Narratives.
Ethics and Social Impacts of AI
article

Psychological Resilience in Human-AI Relationships: A Reading of Ian McEwan’s Machines Like Me

R Gayatri, Dr Lalitha P
article en

Abstract

Resilience is usually characterized in psychology as an individual's capacity to withstand adversity and recuperate from trauma. Nevertheless, the emergence of advanced artificial intelligence necessitates a reevaluation of this notion. This research analyzes Ian McEwan’s Machines Like Me to investigate how resilience manifests as both a personal characteristic and a relational, developmental phenomenon influenced by human–AI interactions. This study employs established psychological theories of resilience and a detailed textual analysis of McEwan’s story to position resilience as a dynamic construct that develops through reciprocal adaptation, emotional connection, and ethical negotiation between humans and machines. The study examines critical interactions among Charlie, Miranda, and Adam, illustrating how resilience is redefined within the framework of relational interdependence, collective ethical issues, and shifting identities. Research indicates that McEwan’s novel depicts resilience as an adaptive, transformational process rather than a static personal trait, emerging from the co-construction of meaning and emotional symbiosis between humans and AI. This reframing underscores the necessity of expanding psychological and literary understandings of resilience to include human–technology relationships, ultimately illustrating that resilience in the age of AI is not solely individualistic but relational, ethical, and identity-forming.

ILN Journal: Indian Literary Narratives.Vol. 2(3)
International Center for Research on Women (US)
Openalex Percentile: Top 73%
Ethics and Social Impacts of AI
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