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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

The text introduces a framework for human-centered AI in lexicography, aiming to enhance opportunities while addressing concerns about automation and cultural diversity.

What the Document Says

  • The text presents an HCAI (human-centered artificial intelligence) framework for AI-assisted lexicography.
  • AI offers significant opportunities but raises concerns about the future role of lexicographers and linguistic diversity.
  • The paper identifies four dimensions for understanding and critically examining AI integration in lexicography: augmented lexicographer, sociotechnical context, bias, and design of tools.
  • The framework suggests that AI should augment rather than replace lexicographers, combining high levels of automation with meaningful human control.
  • Professional agency, mitigation of biases, and tool design around the needs of lexicographers are emphasized.
  • The paper provides a foundation for future research and beneficial integration of AI into lexicographic workflows.

Key Concepts Mentioned

  • human-centered artificial intelligence (HCAI)
  • lexicography
  • AI-assisted lexicography
  • linguistic diversity
  • lexicographer
  • bias
  • AI-powered lexicographic tools

Claims Made by the Document

  • AI offers significant opportunities for enhancing lexicographic work.
  • There are concerns about the future role of lexicographers due to AI integration.
  • The proposed framework suggests that AI should augment rather than replace lexicographers.

Evidence Used

  • The text describes a framework for human-centered AI in lexicography.
  • The paper discusses the concerns about the future role of lexicographers and linguistic diversity.

Methods / Approach

UNKNOWN

Limitations Stated by the Authors

UNKNOWN

Limitations Noted by the Agent

Agent interpretation — not from the source.

UNKNOWN

Open Questions

UNKNOWN

Notes for Future Q&A

May include interpretation. Labeled where it does.

UNKNOWN

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.