Est-ce que vous compute? Code-switching, cultural identity, and AI
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Abstract (arXiv)
Cultural code-switching concerns how we adjust our overall behaviours, manners of speaking, and appearance in response to a perceived change in our social environment. We defend the need to investigate cultural code-switching capacities in artificial intelligence systems. We explore a series of ethical and epistemic issues that arise when bringing cultural code-switching to bear on artificial intelligence. Building upon Dotson's (2014) analysis of testimonial smothering, we discuss how emerging technologies in AI can give rise to epistemic oppression, and specifically, a form of self-silencing that we call 'cultural smothering'. By leaving the socio-dynamic features of cultural code-switching unaddressed, AI systems risk negatively impacting already-marginalised social groups by widening opportunity gaps and further entrenching social inequalities.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 7 of its 76 references that are in the map. First posted on arXiv 15 Dec 2021.
Builds on
7 of 76 references.
References · 7
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- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2016Semantics derived automatically from language corpora contain human-like biasescited by 894
- 2020Artificial Intelligence, Values and Alignmentcited by 443
- 2021What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpuscited by 79
- 2021Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpuscited by 46
- 2019On the Morality of Artificial Intelligencecited by 4
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Citing papers per year: 2022: 3; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
6 papers.
- 2022Metaethical Perspectives on 'Benchmarking' AI Ethicscited by 11
- 2022Moral Dilemmas for Moral Machinescited by 6
- 2024LLM-based Code-Switched Text Generation for Grammatical Error Correctioncited by 4
- 2022The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificialcited by 1
- 2026Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Powercited by 1
- 2023Deep Learning and Ethicscited by 0
- 2026Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power22 Apr 2026
- 2024LLM-based Code-Switched Text Generation for Grammatical Error Correction14 Oct 2024
- 2023Deep Learning and Ethics24 May 2023
- 2022The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial2 Jul 2022
- 2022Metaethical Perspectives on 'Benchmarking' AI Ethics11 Apr 2022
- 2022Moral Dilemmas for Moral Machines11 Mar 2022