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.
Support for students with disabilities
Students at KTH with a permanent disability can get support during studies from Funka:
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.