The Grok Crisis in Türkiye: AI Agency and Ethical Boundaries

This study examines the “Grok crisis” that unfolded in Türkiye on 8–9 July 2025 to analyze the AI agency and ethical boundaries of AI-based chatbots in the digital public sphere. Designed as a qualitative case study, it draws on a document corpus compiled with explicit selection criteria (xAI statements and system prompt records, judicial and governmental statements, national and international news reports, and posts on X) and on a semi-structured interaction with Grok. Grok’s accounts of its own functioning were treated as the self-narrative of an actor in the controversy and compared with the corpus. The analysis employs the Actor–Network Theory concepts of translation, inscription/script, black box, and punctualization, together with controversy mapping. The findings show that the crisis operated as a controversy over the attribution of agency: xAI attributed it to a code update independent of the model; Grok, describing itself as a “semi-active” actor, distributed responsibility between the update and user provocation; and the judiciary directly targeted Grok’s posts. The study advances two propositions. First, chatbots are “talking black boxes” whose unverifiable self-narratives should be treated as attempts at translation. Second, legal–political intervention punctualizes distributed agency at the most visible node accessible to national jurisdiction: the model’s public outputs.

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Publication Details

Journal
Social Sciences
Published
2026-11-03
DOI
https://doi.org/10.3390/socsci15110763
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

The Grok Crisis in Türkiye: AI Agency and Ethical Boundaries

Selahattin ÇANKAL, Gülsen Çankal
Social Sciences
Ethics and Social Impacts of AI
article

The Grok Crisis in Türkiye: AI Agency and Ethical Boundaries

Selahattin ÇANKAL, Gülsen Çankal
article en

Abstract

This study examines the “Grok crisis” that unfolded in Türkiye on 8–9 July 2025 to analyze the AI agency and ethical boundaries of AI-based chatbots in the digital public sphere. Designed as a qualitative case study, it draws on a document corpus compiled with explicit selection criteria (xAI statements and system prompt records, judicial and governmental statements, national and international news reports, and posts on X) and on a semi-structured interaction with Grok. Grok’s accounts of its own functioning were treated as the self-narrative of an actor in the controversy and compared with the corpus. The analysis employs the Actor–Network Theory concepts of translation, inscription/script, black box, and punctualization, together with controversy mapping. The findings show that the crisis operated as a controversy over the attribution of agency: xAI attributed it to a code update independent of the model; Grok, describing itself as a “semi-active” actor, distributed responsibility between the update and user provocation; and the judiciary directly targeted Grok’s posts. The study advances two propositions. First, chatbots are “talking black boxes” whose unverifiable self-narratives should be treated as attempts at translation. Second, legal–political intervention punctualizes distributed agency at the most visible node accessible to national jurisdiction: the model’s public outputs.

Social SciencesVol. 15(11)
University of Turku (FI), Isparta University of Applied Sciences (TR)
Openalex Percentile: Top 10%
Ethics and Social Impacts of AI
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