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This research aims to analyze how public discourse assigns blame to language models and compresses responsibility.

March 15, 2026Open Access

Did ChatGPT "Help Kill"? Public Rhetoric, Misplaced Blame, and the Compression of Responsibility in AI Discourse

Key Points

This research aims to analyze how public discourse assigns blame to language models and compresses responsibility.
Conceptual analysis focusing on public discourse and moral agency.
Case study of the Tumbler Ridge shooting and litigation involving OpenAI.
Distinction between factual reporting, legal allegations, and rhetorical amplification.
Identifies compression of causal involvement into blame directed at language models.
Reveals the role of public discourse in shaping perceptions of responsibility around AI.
Highlights the interaction between AI-assisted writing and public understanding of responsibility.

Abstract

Conceptual working paper examining how public discourse compresses causal involvement, moral agency, operational responsibility, and institutional failure into person-like blame directed at language models. Using reactions to the 2026 Tumbler Ridge shooting and subsequent litigation involving OpenAI as a case study, the paper distinguishes factual reporting, legal allegation, and rhetorical amplification. This paper was developed with AI-assisted support for drafting, structural organization, and language refinement.

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Hinano Kimura (Fri,) studied this question.

synapsesocial.com/papers/69b6069b83145bc643d1ca3f — DOI: https://doi.org/10.5281/zenodo.18992513

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Did ChatGPT "Help Kill"? Public Rhetoric, Misplaced Blame, and the Compression of Responsibility in AI Discourse

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