Research Article

HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS

Number: 71 March 25, 2026
EN TR

HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS

Abstract

As the world enters a golden age of autonomous technology, artificial intelligence companies shape family decisions. Morna Pearson’s Darklands, part of the National Theatre of Scotland’s 2019 Interference trilogy, focuses on the tension between artificial intelligence (AI) and family autonomy. Set in a near-future environment, the play follows Brie and Logan, a Scottish couple whose lives are controlled by a powerful AI company. Their routines are dictated by Moira, an AI assistant that monitors their behaviour, provides guidance, and intrudes into their family lives under the guise of ensuring well-being. While this AI tool promises productivity, the Darklands raises ethical concerns about privacy, control, and the erosion of freedom. After outlining the concept of autonomy from philosophical perspectives, this essay, through thematic interpretations, examines how AI disrupts familial connections, exploring its negative impact on family sovereignty in the play. First, it analyses autonomy through philosophical perspectives, including Kant’s Categorical Imperative and Aristotle’s view of humans as civic beings/zōon politikon (ζῷον πολιτικόν). Then, it explores the relationship between man and technology. Finally, it discusses how the Darklands portrays the consequences of AI dominance, emphasising the risks of its control over family life, and questions whether true family independence could exist under AI influence.

Keywords

Supporting Institution

The author’s contribution to this study is 100%. There are no conflicts of interest associated with this study.

Ethical Statement

This article complies with the journal’s writing guidelines, publication principles, research and publication ethics, and journal ethics policies. The author assumes full responsibility for any potential violations related to the article.

References

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Details

Primary Language

English

Subjects

British and Irish Language, Literature and Culture

Journal Section

Research Article

Publication Date

March 25, 2026

Submission Date

March 19, 2025

Acceptance Date

March 3, 2026

Published in Issue

Year 2026 Number: 71

APA
Kaya, K. (2026). HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 71, 54-66. https://doi.org/10.53568/yyusbed.1660922
AMA
1.Kaya K. HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2026;(71):54-66. doi:10.53568/yyusbed.1660922
Chicago
Kaya, Kağan. 2026. “HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS”. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, nos. 71: 54-66. https://doi.org/10.53568/yyusbed.1660922.
EndNote
Kaya K (March 1, 2026) HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 71 54–66.
IEEE
[1]K. Kaya, “HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS”, Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, no. 71, pp. 54–66, Mar. 2026, doi: 10.53568/yyusbed.1660922.
ISNAD
Kaya, Kağan. “HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS”. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 71 (March 1, 2026): 54-66. https://doi.org/10.53568/yyusbed.1660922.
JAMA
1.Kaya K. HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2026;:54–66.
MLA
Kaya, Kağan. “HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS”. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, no. 71, Mar. 2026, pp. 54-66, doi:10.53568/yyusbed.1660922.
Vancouver
1.Kağan Kaya. HACKING THE FAMILY WEB: AI AND AUTONOMY IN MORNA PEARSON’S DARKLANDS. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 2026 Mar. 1;(71):54-66. doi:10.53568/yyusbed.1660922

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