[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-86328-en":3,"doc-seo-86328-105":30,"detail-sidebar-cat-0-en-105":84},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":29},86328,7971461741311,"Ophelia","https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826",8,"Research & Report","Introducing Human-Centeredness in AI-Assisted Lexicography","This paper proposes a human-centered AI (HCAI) framework for AI-assisted lexicography. Although generative AI can enhance lexicographic work, it also introduces concerns about the future role of lexicographers and the protection of linguistic and cultural diversity. Guided by HCAI principles and prior work in language professions, the paper defines four interrelated dimensions for critically evaluating AI integration: the augmented lexicographer, the sociotechnical context, bias, and the design of AI-powered tools. The framework advocates augmentation over replacement, combining automation with meaningful human control.","arXiv :2607 . 1 1808v 1 [ cs .CL] 13 Jul 2026  \nIntroducing Human-Centeredness in AI-Assisted Lexicography  \nAntonio San Martín and Catherine Trekker  \nUniversité du Québec à Trois-Rivières  \nAccepted for publication in the  \nProceedings of the XXII EURALEX International Congress 2026  \nAbstract  \nThis 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.  \nThe 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.  \nKeywords: human-centered AI; generative AI; AI-assisted lexicography  \n1 Introduction  \nThe widespread availability of generative artificial intelligence (GenAI), particularly large language models (LLMs) such as those powering ChatGPT and Claude, has the potential to transform lexicographic practice (Fuertes-Olivera & Tarp, 2025; Lew, 2024) . On the one hand, the growing ability of LLMs to provide lexical information has raised concerns about the future role of lexicographers and the continued relevance of dictionaries and other lexicographic products (de Schryver, 2023) . On the other hand, artificial intelligence (AI) offers powerful new opportunities to support lexicographic work. These developments place lexicography at a critical juncture and raise a fundamental question: how can AI be integrated so that it enhances rather than undermines the work of lexicographers?  \nIn this context, the paradigm of human-centered AI (HCAI) (Capel & Brereton, 2023; Schmageret al., 2023; Shneiderman, 2020) provides a useful framework for guiding the integration of AI into lexicography. HCAI places human needs and well-being at the center of AI development and challenges approaches that prioritize machine performance and cost reduction at the expense of  \nhuman values. Applied to lexicography, this perspective recognizes that lexicographic resources provide important social benefits by supporting reliable access to lexical knowledge and preserving linguistic and cultural diversity. To protect these benefits, lexicographers must retain meaningful control over AI-assisted workflows, so that automation serves to augment professional expertise rather than displace or marginalize it.  \nAgainst this background, this paper proposes a conceptual framework for AI-assisted lexicography grounded in HCAI.1 It identifies a set of interrelated dimensions through which the relationship between AI and lexicographic work can be understood and critically examined. By doing so, the paper seeks to provide a conceptual starting point for future research, inform the development of AI-assisted lexicographic tools, and support the beneficial integration of AI into lexicographic practice.  \nThe remainder of the paper is organized as follows. Section 2 introduces the principles of human-centered AI and their application to language professions. Section 3 develops a humancentered framework for AI-assisted lexicography organized around four interrelated dimensions: the augmented lexicographer, the sociotechnical context of AI integration, bias, and the design of AI-powered lexico","cbCaiahU4CtQyKIp","https://ap.wps.com/l/cbCaiahU4CtQyKIp","pdf",98969,5,1,15,"English","en",105,"# Introduction\n# Human-Centered Artificial Intelligence\n# Human-Centered Framework for AI-Assisted Lexicography\n# Conclusion","[{\"question\":\"How should AI be positioned relative to lexicographers according to the framework?\",\"answer\":\"AI should augment rather than replace lexicographers. The approach emphasizes high automation paired with meaningful human control to preserve professional agency and mitigate AI-generated biases.\"}]",1784210503,38,{"code":4,"msg":31,"data":32},"ok",{"site_id":25,"language":24,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":79,"head_meta":81,"extra_data":83,"updated_unix":28},"introducing-human-centeredness-in-ai-assisted-lexicography","",{"@graph":36,"@context":78},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/introducing-human-centeredness-in-ai-assisted-lexicography/86328/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-07-27","2026-07-16",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72],{"name":73,"@type":74,"acceptedAnswer":75},"How should AI be positioned relative to lexicographers according to the framework?","Question",{"text":76,"@type":77},"AI should augment rather than replace lexicographers. 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