AI in Society: Introduction

You can study the course independently in the online learning environment of the course(Opens in a new tab).

Target group

The course is suitable for

• anyone interested in societal questions related to artificial intelligence
• all students in any study programme

No particular data science background is required, but it is recommended that you are familiar with basic concepts such as machine learning. For a good introduction to artificial intelligence, the course Elements of AI (TKT21028) is recommended.

• The course can be taken at any stage of studies.
• Intermediate level course in Data Science.
• The course may be offered among the university’s continuous learning courses.
  

Completion methods

• The course is completed online (fully distance learning) and there are no attendance requirements.
• The course is completed by doing exercises. All the exercises are automatically or peer graded. There is no exam.
• The detailed criteria for passing the course are described in the MOOC online learning environment.

Open University and degree programme completion methods may be different.

Contents

The course content consists of text, visual and interactive elements that are available online. The course consists of modules. 

1. Introduction

2. AI and Values

3. AI in Society

Assessment practices and criteria

Successful completion of the exercises in the MOOC. Criteria for passing are defined and described in the MOOC learning environment.

The course is graded on a pass / fail basis.

Activities and teaching methods in support of learning

• The course material contains text and interactive elements.
• The exercises are designed to challenge the student to re-read the material and access further sources enough to be able to solve the task.
• Students own thinking to apply societal concepts in assignments is required.