Human-AI Interaction, 7.5 Credits

Contents

Various types of intelligent agents, including those powered by generative AI models, are becoming increasingly common in a wide range of human activities. The central theme of the course is understanding and supporting human interaction with such agents.  Through theoretical and practical work, the course introduces the students to key concepts, methods, applications, and findings in the field of human-AI interaction. The course touches upon topics such as social perception and social competence of intelligent agents, anthropomorphism, and explainable AI, with a special focus on the critical analysis of emerging human-AI interaction phenomena. User research and prototyping methods and techniques, such as Wizard of Oz, design fiction, and user enactments are applied in practical course assignments. The course builds on state-of-the-art knowledge in the research areas of human-computer interaction, human-robot interaction and human-agent interaction.

Expected learning outcomes

Regarding knowledge and understanding the student is, after the course, expected to be able to:
1. Account for challenges for human-technology interaction in both research and in the application of AI-based systems.
2. Describe and explain key questions, concepts, methods, theories and findings in human-AI interaction research.

Regarding proficiency and aptitude the student is, after the course, expected to be able to:
3. Select and apply user research methods to study human interactions with AI-based systems.
4. Apply relevant concepts and theories to analyze human-AI interaction.

Regarding evaluative capacity and approach the student is, after the course, expected to be able to:
5. Critically reflect on current research, as well as emerging practices, in the field of human-AI interaction.
6. Assess potential impacts of using AI-based systems on human activities, experiences and social interactions.
 

Required Knowledge

Admission to the course requires 90 credits in Informatics, Computer science, Information Systems, Cognitive science, or equivalent studies. Also required is English B/6.

Form of instruction

Teaching is normally done in the form of lectures, seminars, group exercises and supervision in connection with self-studies. During the course necessary computer applications, which students shall use on their own, are introduced and maintained. Some assistance is given in the use of these applications. Some course segments may be compulsory. Teaching is normally done in English. Good ability in written presentation and English is important in order to be able to complete the course.

Examination modes

Examination is done in the form of individual and group assignments, as well as seminar participation. Final grades are Pass with distinction (VG), Pass (G) or Fail (U). 
Students who do not pass the exams during the course will be given a second opportunity soon afterwards. Students who do not pass after these two attempts have the possibility to complete the remaining assignments during subsequent re-exam periods.

When a student has failed an exam on two occasions, they have the right to request another examiner or grading teacher for the next re-exam attempt unless there are special reasons against it. A request for a change of examiner or grading teachers is handled by the Director of Studies. 
  
If special circumstances arise, the examiner has the right to decide on another form of examination