Proposes human-centered AI framework for AI-assisted lexicography

This paper proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted lexicography to address concerns about the future role of lexicographers and linguistic diversity.

The framework identifies four interrelated dimensions for understanding AI integration: the augmented lexicographer, the sociotechnical context of AI integration, bias, and the design of AI-powered lexicographic tools. It argues that AI should augment rather than replace lexicographers, combining high levels of automation with meaningful human control.

The authors emphasize preserving professional agency, mitigating AI-generated biases, and designing tools around lexicographer needs to provide a foundation for beneficial AI integration.