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: 06.05.2019 - 17.05.2019
Teacher in charge (valid 01.08.2020-31.07.2022): Jaana Okulov, Tim Smith
Teacher in charge (applies in this implementation): Kasperi Mäki-Reinikka, Kasperi Mäki-Reinikka, Juuso Tervo
Contact information for the course (valid 07.03.2019-21.12.2112):Teacher: Kasperi Mäki-Reinikka (kasperi.maki-reinikka(a)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:
The first week is dedicated on building a common ground
with discussions, readings and lectures. During the second week emphasis
is on artistic work, the teacher is present for questions and feedback.
During the course students will create artistic proposals of possible
futures of AI. The course ends with an exhibition put together from
these proposals.Exhibition, titled "Other Intelligences" will open in
Kipsari lobby gallery in Väre on Friday 17.5.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 to it that divides opinions.
What role does the artist have in computer-generated artwork? How the
co-evolution of human and machine affects art? Course discusses the
ethical, aesthetic and social dimensions of artificial intelligence and
machine learning in relation to arts. During the course we examine how
artists are using these tools to create interesting and perplexing
artworks and discuss both the current AI-systems as well as speculate
the possible futures. Come and create your own artwork with or about AI!“If I were an AI, what would I be like?” -Lauren MacCarthy
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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.Applies in this implementation:
How to pass?
80% attendance in lectures
Exercises submitted
Participation in the exhibition (final project)
Evaluation: Teacher gives feedback on artistic quality of work. Peer evaluation. Emphasis on the inventive nature of the artwork, not on the technical skill.
Workload
Valid 01.08.2020-31.07.2022:
Contact teaching 36h
Group work 42h
Independent work 57h80% attendance required
Applies in this implementation:
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:
Timetable
Mon 6.5. Intro to Art and Artificial Intelligence
Course overview
Getting to know each other
Brief intro to Art and AITue 7.5 What is AI/Art anyway?
What is Artificial Intelligence?
What is Art?
Towards AI-ArtWed 8.5. Currents in AI Art
Thur 9.5. Utopias and Dystopias
AI Art (Current gen)
Convolutional Neural Networks and GAN’s
Avant-garde and AI
Transhumanism
SingularityUtopias and Dystopias
Fri 10.5. Other Intelligences
Posthumanism
Object oriented ontology
Sensory-material nature of the machine
Exhibition briefWKND
Mon 13.5. Independent work
Tue 14.5. Towards an exhibition
Feedback
Forming a shared vision
Divide the workWed 15.5. Work work work
Independent work, teacher presentThur 16.5. Feedback
Building the exhibition
Last critique & feedback
Feedback from the courseFri 17.5. Opening night
Building the exhibition
Exhibition opening