dorsal/arxiv
View SchemaSilenced by Design Censorship, Governance, and the Politics of Access in Generative AI Refusal Behavior
| Authors | Kariema El Touny |
|---|---|
| Categories | |
| ArXiv ID | 2601.08877vv1 |
| URL | https://arxiv.org/abs/2601.08877 |
| License | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Abstract
This paper examines refusal behavior in generative AI systems through a governance lens. Drawing on historical frameworks of censorship and contemporary design logics, it argues that refusal is not a neutral safeguard but a site of power, shaped by institutional risk management and opaque decision-making. The analysis concludes with user-centered recommendations for ethical refusal design. Keywords: Generative AI governance, AI refusal behavior, Censorship, Ethical design
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"date_created": "2026-02-17T05:53:19.289000Z",
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"abstract": "This paper examines refusal behavior in generative AI systems through a governance lens. Drawing on historical frameworks of censorship and contemporary design logics, it argues that refusal is not a neutral safeguard but a site of power, shaped by institutional risk management and opaque decision-making. The analysis concludes with user-centered recommendations for ethical refusal design.\n Keywords: Generative AI governance, AI refusal behavior, Censorship, Ethical design",
"arxiv_id": "2601.08877",
"authors": [
"Kariema El Touny"
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"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"title": "Silenced by Design Censorship, Governance, and the Politics of Access in Generative AI Refusal Behavior",
"url": "https://arxiv.org/abs/2601.08877",
"version": "v1"
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