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DM2586 Generative AI for Media Technology and Interaction Design 7,5 hp

Course memo Spring 2024-20100

Version 1 – 01/18/2024, 12:45:44 PM

Course offering

Spring 2024-20100 (Start date 16 Jan 2024, English)

Language Of Instruction

English

Offered By

EECS/Human Centered Technology

Course memo Spring 2024

Headings denoted with an asterisk ( * ) is retrieved from the course syllabus version Spring 2024

Content and learning outcomes

Course contents

  • The bases of generative artificial intelligence, AI (historical, theoretical, conceptual and practical).
  • Common applications of generative AI (including trends).
  • Application programming interfaces for generative AI.
  • Creativity and generative AI (views on creativity, art and artistic work and related applications of generative AI).
  • Generative production in media, generative design and art.
  • Education and generative AI (challenges, possibilities and risks).
  • Ethical perspectives on use of generative AI (for example values, independence and ownership).
  • Gender equality, diversity and equally conditions perspectives and problems for generative AI (for example gender partiality).
  • The future for generative AI (the development we can expect).

Intended learning outcomes

After passing the course, the student should be able to

  • describe the fundamental theoretical and conceptual bases of generative AI
  • describe how generative AI has been developed historically
  • describe the application space for generative AI
  • analyse and describe possibilities and limitations to create texts and other content with generative AI
  • use generative AI to create content as texts, images, number, music and video
  • use application programming interfaces for generative AI
  • analyse the possibilities about how generative AI should be able to support creativity
  • analyse ethical challenges and risks with generative AI as for instance ownership and independence related to digital content that partly or completely has been generated with AI
  • analyse and discuss possibilities with generative AI in relation to sustainability
  • assess and discuss questions around equal opportunities, diversity and equal conditions related to generative AI

in order to be able to use generative AI for media technology and human computer interaction from human, ethical and sustainable perspectives.

Preparations before course start

Literature

Distributed in Canvas.

Examination and completion

Grading scale

P, F

Examination

  • LIT1 - Literature assignment, 2.5 credits, Grading scale: P, F
  • PRO1 - Project work, 5.0 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.

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

No information inserted

Round Facts

Start date

16 Jan 2024

Course offering

  • Spring 2024-20100

Language Of Instruction

English

Offered By

EECS/Human Centered Technology

Contacts

Course Coordinator

Teachers

Examiner