Introduction to Human - AI systems

Postgraduate course

ECTS credits
5
Course code
HAIS660
Number of semesters
1
Teaching language
English
Resources
Schedule

Course description

Objectives and Content

Objectives

This course takes an interdisciplinary approach to address the opportunities, challenges, and risks associated with human-AI systems. AI is transforming the way humans and AI interact to co-learn, co-work, co-create, co-lead, etc. The aim of the course is to enable participants to develop an informed and critical understanding of the potential of AI to support learning, working, and democratic participation in society. Students will gain the ability to evaluate its strengths, limitations, and societal impact, fostering a nuanced perspective on its role in shaping the future.

Content

Students will gain a comprehensive overview of relevant perspectives on human-AI systems, including hybrid intelligence, ethical dilemmas, legal issues and practical use in different contexts. The course provides cross-disciplinary coverage of human-AI systems from technological, human-computer interaction, education, psychology, philosophy, sociology, and law perspectives.

Learning Outcomes

Upon completion of the course, the student will have the following learning outcomes:

Knowledge

The student can:

  • describe human - AI systems from various perspectives (multi-agent eco-systems, pedagogical, ethical, etc.) and contexts (co-learn, co-work, co-create, co-lead ...)
  • explain the theoretical foundations underlying human-AI systems, including hybrid intelligence, human-AI interaction/collaboration ...
  • recognise ethical, privacy, and legal considerations for human-AI systems

Skills

The student can:

  • apply knowledge to the critiquing, evaluation, and implementation of AI for learning in various contexts
  • discuss critical perspectives on human-AI systems
  • carry out research on human-AI systems

General competencies

The student can:

  • critically assess the role of Human-AI systems in various contexts

ECTS Credits

5 ECTS

Level of Study

Master, Continuing and further education (EVU)

Semester of Instruction

Fall

Place of Instruction

Online
Required Previous Knowledge
None
Recommended Previous Knowledge
None
Credit Reduction due to Course Overlap
None
Access to the Course

Participants must have completed one of the following educational programmes:

  • Bachelor's degree
  • Master's degree
  • Other degree or vocational education of at least 3 years' duration
  • Education that, in accordance with Section 3-5 of the Act on Universities and University Colleges, is approved as equivalent to the aforementioned degrees or educational programmes.
Teaching and learning methods
The course employs a range of active learning methods including interactive lectures, facilitated discussions, workshops, student presentations and peer feedback.
Compulsory Assignments and Attendance

Compulsory assignments given throughout the semester must be completed and approved.

Participation in 80% course seminars.

Approved compulsory requirements are valid for three semesters.

Forms of Assessment

The course uses the following forms of assessment:

Oral exam, individual

Grading Scale
Letter grades with the scale A, B, C, D, E, F
Assessment Semester
Fall
Reading List
The literature list will be ready before 1 June for the autumn semester and 1 December for the following spring semester.
Course Evaluation
The course is evaluated in accordance with the Faculty of Psychology's routines for participatory evaluation and UiB's quality assurance system. The evaluation will be conducted by SLATE (Centre for the Science of Learning & Technology).
Programme Committee
Centre for the Science of Learning and Technology (SLATE)
Course Coordinator
SLATE (Centre for the Science of Learning & Technology)
Course Administrator
Det psykologiske fakultet

Course description

Contact information

evu.psyfa@uib.no