Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
Ethical debates in AI have primarily focused on back-end issues such as data governance, model training, and algorithmic decision-making. Less attention has been paid to the ethical significance of front-end design choices, such as the interaction and representation-based elements through which users interact with AI systems. This gap is particularly significant for Conversational User Interfaces (CUI) based on Natural Language Processing (NLP) systems, where humanizing design elements such as dialogue-based interaction, emotive language, personality modes, and anthropomorphic metaphors are increasingly prevalent. This work argues that humanization in AI front-end design is a value-driven...
| Authors | Silvia Rossi, Diletta Huyskes, Mackenzie Jorgensen |
|---|---|
| Primary category | cs.AI |
| Published | 25 March 2026 |
| Last updated at source | 10 April 2026 |
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