Paper advocates for human-centered AI in terminology work

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-assisted terminology work
• Antonio San Martin
• augmented terminologist
• ethics of artificial intelligence
• generative artificial intelligence
• human-centered AI
• human-centered design
• large-language models
• terminologists

• paper
• other

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