Introducing Human-Centeredness in AI-Assisted Lexicography
2026-07-13 • Computation and Language
Computation and LanguageArtificial Intelligence
AI summaryⓘ
The authors propose a framework for using AI to help dictionary makers in a way that supports, not replaces, their work. They highlight four key areas to consider: how AI can assist lexicographers, the social and technical context of using AI, potential biases AI might introduce, and how tools should be designed around users. Their goal is to keep lexicographers in control, reduce bias, and respect cultural diversity. This framework aims to guide future research on combining AI with dictionary work effectively.
Human-Centered Artificial IntelligenceLexicographyGenerative AILexicographerBias in AISociotechnical SystemsProfessional AgencyAI Tool DesignCultural Diversity
Authors
Antonio San Martin, Catherine Trekker
Abstract
This paper proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted lexicography. While generative AI offers significant opportunities to enhance lexicographic work, it also raises concerns regarding the future role of lexicographers and the preservation of linguistic and cultural diversity. Drawing on HCAI principles and previous applications in other language professions, the paper identifies four interrelated dimensions through which AI integration in lexicography can be understood and critically examined: the augmented lexicographer, the sociotechnical context of AI integration, bias, and the design of AI-powered lexicographic tools. The framework argues that AI should augment rather than replace lexicographers, combining high levels of automation with meaningful human control. It further emphasizes the importance of preserving professional agency, mitigating AI-generated biases, and designing tools around the needs of lexicographers. By doing so, the paper provides a foundation for future research and the beneficial integration of AI into lexicographic workflows.