most citedComputational Hermeneutics: Evaluating generative AI as a cultural technology

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Calibrated Ambiguity in Multimodal Language Models: Humans reach for cultural references, while models describe the picture

Cody Kommers, Mingrui Ye, Evelyn Gius +4

Ambiguity is often treated as a bug for AI systems to resolve---but in human communication and culture, ambiguity can also be a generative resource. From humour to politics to art,…

cs.CL2026

The House with a Million Windows: Interactive Fiction for Narrative Restorying

Cody Kommers, Sarah G Immel, Drew Hemment +1

AI-assisted writing can flatten meaning in human storytelling, enabling the production of homogeneous outputs without the intentional effort and sense-making writing entails. To ad…

cs.AI2026★ 4 cited

Computational Hermeneutics: Evaluating generative AI as a cultural technology

Cody Kommers, Ruth Ahnert, Maria Antoniak +35

Generative AI systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be measured rather than fundament…

cs.AI2025

Proceedings of The third international workshop on eXplainable AI for the Arts (XAIxArts)

Corey Ford, Elizabeth Wilson, Shuoyang Zheng +9

This third international workshop on explainable AI for the Arts (XAIxArts) brought together a community of researchers in HCI, Interaction Design, AI, explainable AI (XAI), and di…

cs.CL2025

Meaning Is Not A Metric: Using LLMs to make cultural context legible at scale

Cody Kommers, Drew Hemment, Maria Antoniak +4

This position paper argues that large language models (LLMs) can make cultural context, and therefore human meaning, legible at an unprecedented scale in AI-based sociotechnical sy…