Claims

Qualities metaphors depicted GenAI as unknowable, unreliable and unbounded, with participants unsettled by its opacity

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

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q2 i? Participant metaphors clustered around GenAI as an unknowable, unreliable, unbounded, almost magical force, including distrust of its outputs. → Carmen Vallis 2025

Evidence

Carmen Vallis 2025

Carmen Vallis, Stephanie Wilson, Alison Casey. (2025). Fear and Awe: Making Sense of Generative AI Through Metaphor. Journal of Interactive Media Education. https://doi.org/10.5334/jime.972

q2 · i? · qualitative · r2

Qualitative analysis of workshop metaphors. Participants were unsettled by the "black box" metaphor emphasising opacity and lack of algorithmic transparency, described outputs as an unreliable "hallucinator, plagiarism machine", and feared uncontrollable spread like "mold" or a "slippery slope".

"Similarly, participant metaphors mirrored much of this discussion, clustering around themes of GenAI as an unknowable, unreliable, unbounded force that was almost magical."

Discussion

Page metadata
Field Value
type claim
id qualities-metaphors-genai-unknowable-unreliable
title Qualities metaphors depicted GenAI as unknowable, unreliable and unbounded, with participants unsettled by its opacity
description Qualities metaphors depicted GenAI as unknowable, unreliable and unbounded, with participants unsettled by its opacity
status review
evidence_strength moderate
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — carmen-vallis-2025

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