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Paper advocates for human-centered AI in terminology work

By PulseAugur Editorial · [1 sources] ·

A new paper proposes a human-centered approach to integrating generative AI into terminology work, emphasizing that AI should augment, not replace, human terminologists. The authors argue that while AI can automate certain tasks, its unreliability necessitates human oversight for accuracy and bias management. This framework aims to enhance terminologists' capabilities and decision-making authority, ensuring AI supports specialized communication and knowledge transmission. AI

IMPACT This paper suggests a framework for AI integration that prioritizes human expertise, potentially influencing the development of AI tools in specialized fields.

RANK_REASON The cluster contains an academic paper discussing AI applications and ethics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Paper advocates for human-centered AI in terminology work

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The cluster contains an academic paper discussing AI applications and ethics. [lever_c_demoted from research: ic=1 ai=1.0]
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99 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Antonio San Martin ·

    Toward Human-Centered AI-Assisted Terminology Work

    arXiv:2512.18859v3 Announce Type: replace Abstract: Generative AI is likely to transform terminology work by creating new opportunities for automation. At the same time, it raises concerns about the future of terminologists and terminological resources, as efficiency pressures ma…

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