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Research focus

CLAI is organized around five key topics:

  • Language model performance and development: How do different LLMs perform on text generation tasks in both Danish and English?
  • Human creativity and thinking: How can text generation be part of a creative, artistic process and enhance reasoning?
  • Cognitive science and linguistic research: How do language models learn and use language, and to what degree does these complement or challenge existing theories of language and cognition?
  • Pedagogical applications: How can text generation and assistants be used in an educational setting?
  • Trust and authority: How do AI-agents alter levels of trust in information and trust in collaboration among people?

Topic coordinators

Kristoffer Laigaard Nielbo

Professor School of Culture and Society - Center for Humanities Computing

Language model performance and development works on comparing the performance of multiple leading language models, including OpenAI’s GPT, Big Science’s BLOOM and models developed by the Center for Humanities Computing at Aarhus University (CHC). We investigate and document methods for understanding performance in both English and Danish, and also explore implications for traditional Natural Language Processing tasks and pipelines.

Mads Rosendahl Thomsen

Professor School of Communication and Culture - Comparative Literature

Human creativity and thinking explores the potential for language models to produce creative work as well as engaging in philosophical dialogues. We also collaborate with the project Fabula-NET, a project focused on the understanding of literary quality and preferences.

Rebekah Brita Baglini

Associate Professor School of Communication and Culture - Linguistics

Cognitive Science and linguistic research works towards a general description of how large language models are challenging existing understandings of language and language acquisition. The purpose is to consider firstly what problems are posed to traditional linguistic research by state-of-the-art large language models; and secondly, to consider what challenges traditional linguistic research can pose to contemporary work in natural language processing.

Joseph Patrick Dumit

Professor School of Culture and Society - Interacting Minds Centre

Pedagogical application investigates how text generation can be used in pedagogical settings at primary, secondary and tertiary levels of education. The project isd involved with pilot projects on grammar assistants, automated translation and creative exploration of large language models.

Hermes Arthur Hjorth

Assistant Professor Department of Management

Trust and authority concerns the popular interfaces between humans and large language models: conversational agents like ChatGPT. This topic considers users’ perceptions of a chatbot’s competence, trustworthiness, warmth, and authority are conditioned, and how these factors impact how much users trust and defer to information produced by chatbots – even when this information is unverified, false, or unethical.