Unsafe AI for Education: A Conversation on Stochastic Parrots and Other Learning Metaphors ⚠

This interview article discusses the impact on popular and educational discourses of the metaphor for a Large Language Model of a “stochastic parrot”. The metaphor comes from the title of an influential paper on the harms of large language models from 2021. Here we present a perspective on the short but influential history of the metaphor through an interview with one of its creators, Professor Emily M. Bender. Using the broad lens of metaphor as a way to shape and frame discourse, the editors interviewed Professor Bender and asked her a series of questions to spark discussion around AI in Education. A variety of topics were covered, including: on how metaphors and anthropomorphisation when carelessly used can elide harms and obviate responsibilities; the role of BigTech, data theft and metaphors of colonisation; Whether AI is unsafe for education and if so to which learners; Techno-solutionism; Positionality and AI “voice”; and whether EdTech is a key driver of AI bullshit and enshittification. This article aims to give readers an accessible insight into how a particular metaphor may be enacted in discourse and to contribute to wider critical debates about how GenAI operates in the context of datafication and educational harms.

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Publication Details

Journal
Journal of Interactive Media in Education
Published
2025-01-01
DOI
https://doi.org/10.5334/jime.1079
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
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article

Unsafe AI for Education: A Conversation on Stochastic Parrots and Other Learning Metaphors ⚠

Robert Farrow, Giselle Ferreira, Emily M. Bender, Kyungmee Lee et al.
1 citations
Journal of Interactive Media in Education
Online Learning and Analytics
1.69
article

Unsafe AI for Education: A Conversation on Stochastic Parrots and Other Learning Metaphors ⚠

Robert Farrow, Giselle Ferreira, Emily M. Bender, Kyungmee Lee, Eamon Costello
article en
1 citations

Abstract

This interview article discusses the impact on popular and educational discourses of the metaphor for a Large Language Model of a “stochastic parrot”. The metaphor comes from the title of an influential paper on the harms of large language models from 2021. Here we present a perspective on the short but influential history of the metaphor through an interview with one of its creators, Professor Emily M. Bender. Using the broad lens of metaphor as a way to shape and frame discourse, the editors interviewed Professor Bender and asked her a series of questions to spark discussion around AI in Education. A variety of topics were covered, including: on how metaphors and anthropomorphisation when carelessly used can elide harms and obviate responsibilities; the role of BigTech, data theft and metaphors of colonisation; Whether AI is unsafe for education and if so to which learners; Techno-solutionism; Positionality and AI “voice”; and whether EdTech is a key driver of AI bullshit and enshittification. This article aims to give readers an accessible insight into how a particular metaphor may be enacted in discourse and to contribute to wider critical debates about how GenAI operates in the context of datafication and educational harms.

Journal of Interactive Media in EducationVol. 2025(1)
University of Washington (US), The Open University (GB), Pontifícia Universidade Católica do Rio de Janeiro (BR), Dublin City University (IE)
Openalex Percentile: Top 11%
Online Learning and Analytics
1.69
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Unsafe AI for Education: A Conversation on Stochastic Parrots and Other Learning Metaphors ⚠ — Robert Farrow, Giselle Ferreira, et al. · Journal of Interactive Media in Education (2025) | TGRS Research Map | TGRS