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DM2585 Artificial Intelligence in Society 9.0 credits

Administer About course

An online course on the present and future of artificial intelligence. Get ahead with your knowledge of AI with this introduction. After this course, you will know the critical perspectives on artificial intelligence and its development, possibilities and risks in the coming decades and be able to discuss AI's ethical aspects today and in the future.

"I can assure you that you will have the opportunity to deepen your knowledge, strengthen your writing skills, and develop your soft skills during interesting discussions. I am also pretty sure that by studying topics related to morality or ethics, which are part of the currently discussed artificial intelligence, you will discover many new questions deep inside yourself that you will be looking for answers for many months to come. Exciting journey ahead!"

Mateusz (course participant – spring  2020)

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Spring 2026 aisoc programme students

Course location

KTH Campus

Duration
13 Jan 2026 - 1 Jun 2026
Periods
P3 (4.5 hp), P4 (4.5 hp)
Pace of study

33%

Application code

60288

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Min: 20

Target group

Open for all programs from year 3, and for students admitted to a master's program, provided that the course can be included in the program.

Planned modular schedule
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Schedule
Schedule is not published

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DM2585 (Spring 2022–)
Headings with content from the Course syllabus DM2585 (Spring 2022–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Historical overview of how artificial intelligence has been developed since its formative years and up to today.

Critical perspectives on artificial intelligence and its development.

Possibilities and risks with artificial intelligence in the nearest coming decades.

Ethical aspects related to artificial intelligence today and in future.

Intended learning outcomes

After passing the course, the student should be able to

  • account for how artificial intelligence has been developed since the field's formative years and up to today,
  • discuss and account for commonly occurring critical perspectives on artificial intelligence and its development,
  • account for potential possibilities and risks with artificial intelligence in the future decades
  • discuss and account for central ethical aspects and problems related to use of artificial intelligence

in order to

  • get an increased understanding of how artificial intelligence fits in today's information society and how artificial intelligence might be developed.

Literature and preparations

Specific prerequisites

Documented knowledge in theory of knowledge and research methodology, 7,5 credits, corresponding to completed course DM2572.

The upper secondary course English B/6.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • LIT1 - Literature study, 3.0 credits, grading scale: P, F
  • RAP1 - Report, 3.0 credits, grading scale: P, F
  • SEM1 - Seminars, 3.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Examiner

Profile picture Anders Hedman

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Human Centered Technology

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Supplementary information

In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex