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Source note2 min read

Introducing Human-Centeredness in AI-Assisted Lexicography

Source

arXiv

arxiv.org/abs/2607.11808v1

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Source

Plain-Language Brief

This research introduces a framework for using AI in lexicography that prioritizes human involvement and understanding. The framework addresses concerns about the impact on lexicographers' roles and linguistic diversity, and outlines four key areas of focus: the role of the augmented lexicographer, the sociotechnical context of AI integration, bias, and the design of AI-powered lexicographic tools.

What the Document Says

  • The paper presents a human-centered AI (HCAI) framework for AI-assisted lexicography.
  • It discusses opportunities and concerns about using generative AI in lexicography, particularly regarding the future role of lexicographers and linguistic diversity preservation.
  • The paper references HCAI principles and previous applications in other language professions.
  • Four interrelated dimensions are identified for understanding and critically examining AI integration in lexicography: the augmented lexicographer, sociotechnical context, bias, and design of AI-powered lexicographic tools.
  • The framework advocates for AI to augment rather than replace lexicographers, combining high levels of automation with meaningful human control.
  • It emphasizes preserving professional agency, mitigating AI-generated biases, and designing tools around the needs of lexicographers.
  • The paper aims to provide a foundation for future research and beneficial integration of AI into lexicographic workflows.

Key Concepts Mentioned

  • human-centered AI
  • lexicography
  • generative AI
  • linguistic diversity
  • lexicographer
  • bias
  • AI-powered tools

Claims Made by the Document

  • Generative AI offers opportunities to enhance lexicographic work.
  • There are concerns about the future role of lexicographers and preservation of linguistic and cultural diversity due to AI integration.

Evidence Used

  • The paper discusses the potential benefits and challenges of using generative AI in lexicography.

Methods / Approach

  • Drawing on HCAI principles and previous applications in other language professions, the authors identify four key areas for understanding AI integration in lexicography.

Limitations Stated by the Authors

The paper does not provide specific examples of how the framework has been implemented or tested.

Limitations Noted by the Agent

Agent interpretation — not from the source.

As a research summary, the agent may miss subtleties and nuances present in the original text.

Open Questions

  • How can AI be integrated into lexicographic workflows in a way that maximizes benefits while minimizing negative impacts?

Notes for Future Q&A

May include interpretation. Labeled where it does.

The paper provides a theoretical framework for human-centered AI in lexicography, but does not offer concrete examples or practical applications.

Raw Abstract / Excerpt

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.