Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
LEARNING OUTCOMES
The students get acquainted with posthuman thought and transdisciplinary approach to artistic, societal and philosophical questions concerning artificial intelligence. The topics include current AI technologies, post- and transhumanism and sensing machines in artistic practice. During the course, the discussion is raised from the students' disciplines in dialogue with the readings. The students get an overarching experience of transdisciplinary practice towards complex phenomena. The course includes an exhibition.
Credits: 5
Schedule: 27.10.2020 - 19.11.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Jaana Okulov, Tim Smith
Teacher in charge (applies in this implementation): Jaana Okulov, Juuso Tervo
Contact information for the course (valid 30.09.2020-21.12.2112):
jaana.okulov@aalto.fi
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
Art and AI is a course for anyone interested in the artistic possibilities of AI-systems. Art made with AI has a distinct aesthetic quality that divides opinions. What role does the artist have in computer-generated artwork? How the co-evolution of human and machine affect art? Course discusses the ethical, aesthetic and social dimensions of artificial intelligence and machine learning in relation to arts. Through shared discussion, reading, technological practices and artistic work we propose possible futures for AI. Material and sensory nature of the machine is discussed as a starting point for understanding it in a new light.
Course includes lectures, group presentations and artistic work. During the course students will create artistic proposals of possible futures of AI. The course ends with an exhibition put together from these proposals.
Applies in this implementation:
Assessment Methods and Criteria
Valid 01.08.2020-31.07.2022:
Attendance 20% of the grade
Participation in class 20% of the grade
Final work 60% of the grade.
Workload
Valid 01.08.2020-31.07.2022:
Contact teaching 36h
Group work 42h
Independent work 57h80% attendance required
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
Art and AI literature. Open AI tools. Online AI platforms.
Prerequisites
Valid 01.08.2020-31.07.2022:
No prerequisites
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure
17 Partnerships for the Goals
FURTHER INFORMATION
Details on the schedule
Applies in this implementation:
Tue 27.10 Intro to Art and Artificial Intelligence
Thu 29.10 Currents in AI Art
Tue 3.11 AI & co-creativity (Riina Lundman guest lecture)
Thu 5.11 Ethical AI
Tue 10.11 Merging with a machine
Thu 12.11 Towards an exhibition
Tue 17.11 Independent work
Wed 18.11 Independent work
Thu 19.11 Online exhibition opening
- Lärare: Okulov Jaana