KIUA2016 AI methods for the social sciences and humanities
- Course codeKIUA2016
- Number of credits10
- Teaching semester2026 Autumn
- Language of instructionNorwegian/English
- CampusHamar
- Required prerequisite knowledge
None
Digital AI methods are growing rapidly within the humanities, arts and social sciences. The course provides an introduction to digital tools driven by artificial intelligence for use in the arts, humanities and social sciences and the opportunities and challenges created by these tools. The field of “digital humanities” combines tradition, history and technology. How can AI contribute to research, conservation and communication in this field and what are the challenges and risks associated with AI in digital humanities?
Areas and questions that will be explored:
- AI in cultural preservation: How can AI be used for the restoration, digital reconstruction and conservation of cultural artefacts and heritage sites?
- AI in art, music and literature: How can AI generate art or music and what does this mean for the artists and musicians of today?
- Gamification and public dissemination:How can AI tools and platforms make the humanities more accessible to the general public?
- AI and knowledge production: How is AI changing methods, analyses and practices in humanities and social science research and what implications does this have when it comes to knowledge production?
Learning Outcome
Upon successfully passing the course, students will have achieved the following learning outcomes:
The student will have
- knowledge of basic concepts and principles in the digital humanities and how these relate to artificial intelligence (AI)
- knowledge of different areas of application for AI in research, restoration and dissemination methods in the humanities and social sciences
The student will be able to
- assess potential benefits and limitations of using methods based on artificial intelligence in the humanities and social sciences
- evaluate and discuss ethical issues linked to the use of artificial intelligence in research, conservation and communication in the humanities
- independently and critically experiment with, analyse and discuss different implications of AI in the digital humanities and social science methods, such as communication, data analysis, knowledge collection and presentation
The student will be able to
- collaborate as part of interdisciplinary teams to combine the digital humanities and AI
- integrate new knowledge and insights in their understanding of AI in the digital humanities
- demonstrate ethical awareness and responsibility in the use of AI tools and methods in research and practice
Teaching will be project-based. In addition to attending seminars and short lectures, students will create a research or art project under supervision and based on the content and questions covered in teaching.
- attendance of at least 80% and active participation in teaching.
- 1-2 group assignments
Coursework requirements will be specified in the course curriculum.
Compulsory assignments can be executed and written in Norwegian Bokmål, Nynorsk or English.
| Form of assessment | Grading scale | Grouping | Duration of assessment | Support materials | Proportion | Comment |
|---|---|---|---|---|---|---|
Written assignment | ECTS - A-F | Individual | 100 |
- One individual project-based assignment
Performance is assessed using a grading scale from A to F, where E is the lowest passing grade.
Permitted aids:
- Literature
- All printed and written resources
- AI-generated text and content must be clearly labelled and academically justified.