Distorted moral and legal judgments. Anthropomorphism as a fallacy distorts moral judgments about AI, such as assessments of its moral character, status, and responsibility . Users may wrongly assign moral responsibility to a machine
, and corporate use of counterfeit people can manipulate consumers while evading accountability
.
Security and cybersecurity risks. Anything designed to persuade makes people more susceptible to manipulation. From an infosec perspective, anthropomorphised AI presents serious security concerns because it exploits trust heuristics that can be weaponised .
Exaggerated capabilities and AI hype. Anthropomorphic language systematically exaggerates what AI systems can do, contributing to widespread misrepresentation of their actual capabilities .
Nature has explicitly editorialised on this point: "We will try to avoid at all costs the use of 'the AI / an AI' due to its unfortunate suggestion of agency. Instead, we will either change to 'the AI system / an AI system' or be very clear what we are talking about."
Treating "AI" as a countable noun (e.g., "the AI decided," "an AI that thinks") subtly implies a unified, self-directed entity with internal mental states. Recasting "AI" as an adjective modifying "system" (or "model," "tool," "algorithm") constantly reminds the audience that the referent is an engineered artefact — not a mind. This linguistic shift directly counters what one analysis calls the "terminological" dimension of anthropomorphic hype : when we say "the AI," the noun form itself becomes a vehicle for ascribing agency, intention, and understanding that the technology does not possess.
The bottom line: Anthropomorphising AI is not harmless metaphor — it drives deception, over-trust, manipulation, and distorted accountability. A simple linguistic discipline — using "AI systems" instead of "the AI" — serves as a constant corrective that keeps the tool-like nature of the technology front and centre.