Toward Human-Centered AI-Assisted Terminology Work

The paper discusses the transformative potential of generative AI in terminology work, emphasizing the need for a human-centered approach to mitigate risks associated with automation, such as errors and biases in large language models. It advocates for a framework that enhances the capabilities of terminologists while preserving their decision-making authority, exploring the implications for ethical AI and human-centered design. This perspective is crucial for practitioners to ensure that AI tools effectively support terminologists in maintaining the accuracy and reliability of specialized communication across languages and cultures.