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.
Authors
- Robert Farrow (ORCID: https://orcid.org/0000-0002-7625-8396)
- Giselle Ferreira (ORCID: https://orcid.org/0000-0002-8498-5390)
- Emily M. Bender (ORCID: https://orcid.org/0000-0001-5384-6227)
- Kyungmee Lee (ORCID: https://orcid.org/0000-0002-9580-9026)
- Eamon Costello (ORCID: https://orcid.org/0000-0002-2775-6006)
Institutions
- University of Washington (US)
- The Open University (GB)
- Pontifícia Universidade Católica do Rio de Janeiro (BR)
- Dublin City University (IE)
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