Generative AI at work: mundane and productive articulation
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Date
2026-04-13
Authors
Larsen-Ledet, Ida
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Abstract
This paper proposes a distinction between productive and mundane articulation in people's interactions with generative AI. While generative AI produces useful results for certain tasks and domains, for many types of work, experiences with AI are still dominated by generic and superficially relevant responses. People are often required to provide context and clarifications through several iterations to get usable output. This paper argues that generative AI will not become a true asset in the workplace unless it allows people to focus on productive articulation that helps them reflect on and refine the objectives of their work, by reducing the need for mundane articulation that makes up the rote work of setting up fundamental context for generative AI to deliver useful results.
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Keywords
AI articulation , Contextualization , GenAI , Generative AI , Human-AI interaction , Human-computer interaction , Knowledge work , Personalization , Relevance , generative AI , relevance , knowledge work , personalization , context , human-AI interaction
Citation
Larsen-Ledet, I 2026, 'Generative AI at work: mundane and productive articulation', Paper presented at 2026 CHI Conference on Human Factors in Computing Systems, Barcelona, Spain, 13/04/26 - 17/04/26 pp. 1-6. https://doi.org/10.1145/3772363.3798602