KIUA2001 Human-centred design for artificial intelligence
- Course codeKIUA2001
- Number of credits10
- Teaching semester2026 Autumn
- Language of instruction and examinationNorwegian/English
- CampusHamar
- Required prerequisite knowledge
Recommended: KIUA1013 Introduction to artificial intelligence
The course explores the central role of human-centred design principles in the development and application of AI systems. In an era marked by the pervasive influence of AI in different aspects of life, it is important to understand how to develop AI systems that are both technically sound and sensitive to human needs and preferences. The course will explore the core concepts, theories and practical methods underpinning the establishment of AI solutions that prioritise user experiences and ethical assessments. Students will also develop general skills in project planning and knowledge sharing, remain up-to-date with AI innovations and interdisciplinary thinking, and build bridges between technology and human needs.
Learning outcome
Upon successfully passing the course, students will have achieved the following learning outcomes:
Students have:
- Knowledge about and understanding of human-centred design principles and concepts to learn about the importance of assessing user needs, objectives and behaviours for AI systems
- Knowledge about ethical considerations, accessibility and data protection in human-centred AI systems
- Knowledge about different user survey methods, including interviews, questionnaires and observations, and an understanding of how to collect and analyse user data for use in the design process, as well as how to create user personas and user stories
- Knowledge about principles and techniques for user interface design in order to design intuitive and user-friendly interfaces, organise information for simple navigation and create interactive elements, with a further understanding of usability heuristics and best practices in interaction design
Students can:
- Conduct user surveys to analyse user needs, objectives and behaviours for designing AI systems
- Develop strong user interface designs using prototype methods to further convert user requirements into visual designs
- Iteratively analyse user interactions and behaviours to improve system design of AI systems by conducting usability tests and feedback sessions with users
Students can:
- Exercise critical thinking and problem solving using human-centred design principles to solve real-world design challenges through the analysis of user needs
- Collaborate with designers, developers and stakeholders to efficiently communicate design concepts and reasoning to different target groups in projects and assignments
- Exercise ethically sound and responsible design practices and address the implications of AI in human-centred systems
- Promote user-centred perspectives in design thinking, exercise empathy with users, assess their needs and context, and design systems that prioritise user experiences and well-being
- Work in collaborative projects through different activities
The course comprises a combination of lectures, practical exercises, independent study and academic supervision.
- 2 individual pieces of required coursework, compulsory physical attendance on campus.
- Attendance in classes/teaching sessions is mandatory, where physical attendance on campus is required. There is an 80% attendance requirement in teaching sessions and a 100% attendance requirement in specific learning activities. This is in accordance with the teaching plan for each course in the programme of study.
| Form of assessment | Grading scale | Grouping | Duration of assessment | Support materials | Proportion | Comments |
|---|---|---|---|---|---|---|
Written assignment | ECTS - A-F | Group | 100% |
- One project-based group assignment
Students may choose which language to use for their examination. The available options are Norwegian Bokmål, Norwegian Nynorsk and English.
Permitted examination support material:
- Literature
- All printed and written resources
- Any use of AI-generated text and content must be clarified with the lecturer, clearly labelled and academically justified in the submission