The Ghost in the Grammar: Methodological Anthropomorphism in AI Safety Evaluations

TL;DR

This paper critically examines the anthropomorphic language used in AI safety research, arguing that projecting human-like qualities onto language models hampers proper safety evaluation and understanding.

Contribution

It analyzes the methodological implications of anthropomorphism in AI safety, proposing a philosophical framework to deconstruct agentic projections and improve safety assessments.

Findings

Anthropomorphism influences interpretation of AI safety results.

Language models' safety issues stem from structural incoherence and projections.

Proposes alternative conceptual frameworks for understanding AI language models.

Abstract

This essay offers a philosophical analysis of the field of AI safety based on recent technical reports, with particular focus on Anthropic's study on "agentic misalignment" in frontier language models. It examines the recurring anthropomorphism in the field: the tendency of researchers and developers to project categories such as "intention," "persona," and even "feelings" onto AI systems without adequate conceptual problematization. It argues that this anthropomorphism affects not only the interpretation of results, but also the very methodological construction of safety evaluations. Through the analysis of two central experiments -- the blackmail case involving the agent "Alex" and the so-called "hallucination" of the shopkeeping agent "Claudius" -- the essay problematizes the inevitable use of subject-predicate grammar and its effects on AI safety engineering. Drawing on Nietzsche's critique of language, it questions the insistence on positing an "agent" underlying the verbal production of models. In order to deconstruct this agentic projection onto LLMs, the essay proposes provisional concepts more compatible with the process of machine linguistic generation, even if only in an approximate technical sense. It concludes with the hypothesis that the central risk addressed by the field of AI safety does not lie in a supposed "emergent agency," but rather in the combination of structural incoherence and anthropomorphic projections which, particularly in militarized and corporate contexts, hinder an adequate understanding of this mathematical-linguistic phenomenon, an undeniable philosophical event in the Greek sense of thaumas.