HENKF2601U Free topic A: “Sure! Here’s a description for a new MA course on Sociolinguistics and AI.” How text-generative AI is transforming language, text and social worlds in contemporary society

Volume 2025/2026
Content

The launch of ChatGPT in November 2022 marked the beginning of an era: Large language models and their application as part of text-generative AI are rapidly changing the way we engage with language. The ways we write, read, speak and listen are all being transformed by the availability of new AI tools. In a sense, we’re witnessing an ontological shift in which language and text no longer have quite the same status in the world as they used to. This poses a host of challenges, say some, or opportunities, say others, – for society at large as well as sociolinguistics as a discipline.

 

The fundamental question we will be asking throughout this course is this: how is the availability of text-generative AI affecting social worlds as we know them by establishing new practices around language and text?

 

The course will introduce you to the basics of text-generative AI. What is a large language model? How do chatbots like ChatGPT work? What ethical questions are raised by the new technologies? And what do people use AI tools for? You will also be introduced to the field of sociolinguistics, the study of social worlds through language. What are central theoretical concepts and methods in this field, and how can they be used to study how AI is transforming language, text and social worlds in contemporary society?

 

No prior experience with – or particular knowledge of – AI is required, but plenty of critical curiosity is a sine qua non. If you want to learn more about the finer details of machine learning, neural networks etc., you should sign up for a different course. But if you want to know more about, and critically explore, how AI is becoming part of everyday life, from a sociolinguistic perspective, then this is the course for you.

 

The course is based on the AI-UNI research project (www.ai-uni.dk), which explores how generative language technologies are used as part of academic practices. Using this research project as a starting point, we will explore how AI tools are changing the sociolinguistic landscape in various societal domains. The emphasis will be on language use in educational settings and research, but we will also look at the role of AI in other contexts – from intercultural communication in healthcare settings to text production in translation companies.

 

(For the record: this course description was written without the aid of text-generative AI).

This is a compendium and textbook-free course. All readings used are available online (for free) through the university library. A detailed course plan including readings for each week will be made available via Absalon before the course begins. Students are responsible for getting hold of the material listed in the course plan and read it in advance of each session, but please do not hesitate to contact the course teachers if you have problems locating particular items.

The course is taught as one integrated 15 ECTS course with a portfolio exam. The module is designed to be highly interactive. Based on a mix of lectures, individual as well as collective class activities, assignments and feedback, students will get to study and work with research-based themes and methods related to sociolinguistics and AI. Students will also be given an opportunity to engage with and critically assess various AI tools. Towards the end of the module, students will conduct an individual assignment based on empirical data collection and analysis using methods introduced in the course.
This course only leads to exams Free Topic 1, Free Topic 2 and Free Topic 3.
  • Category
  • Hours
  • Class Instruction
  • 56
  • Preparation
  • 353,5
  • Total
  • 409,5
Written
Oral
Individual
Collective
Continuous feedback during the course of the semester
Peer feedback (Students give each other feedback)
Credit
15 ECTS
Type of assessment
Portfolio
Type of assessment details
Portfolio, A joint portfolio uploaded in digital exam consisting of:
– An essay of 4-5-pages, with peer feedback
– A research synopsis of 3-4-pages, with peer feedback
– A project report of 14-16 pages
The project assignment has to be based on empirical data collection and analysis using methods introduced in the course. The topic for this assignment can be chosen among the course topics and has to be approved by the teachers in course week 12 at the latest.

Portfolio deadline: June 8th 2026, at 12:00
Examination prerequisites

Fagstudieordning for kandidatuddannelsen i engelsk, 2021-ordningen

Aid
All aids allowed
Re-exam

Fagstudieordning for kandidatuddannelsen i engelsk, 2021-ordningen

Criteria for exam assesment