252-5053-00L What Kind of AI Do We Want? Bringing Artistic and Technological Practices Together

Semester	Spring Semester 2023
Lecturers	N. Gräfin von Reischach, A. C. Notz
Periodicity	yearly recurring course
Language of instruction	English

Courses

Number

Title

Hours

Lecturers

252-5053-00 S

What Kind of AI Do We Want? Bringing Artistic and Technological Practices Together

Blockkurs

42s hrs

13.03. - 17.03.

09:15-17:00

LFW B 3 »

N. Gräfin von Reischach, A. C. Notz

Catalogue data

Abstract

This is a joint module for BFA students (ZHdK) and BA students of Computer Science (ETH) to bring together artistic and technological perspectives taking place in both universities. Our starting point is to consider «Artificial Intelligence» (AI) as a historical-material practice, that is, shaped by the concrete conditions of its development and use.

Learning objective

The course will be primarily in English, with occasional German.

We will address the current discourse within our democratically shaped society around trustworthy AI and look at decolonial approaches to AI.

The students get to know a completely new field (art ←→ computer science). They have tested how inspiring interdisciplinary collaboration can be and applied their newly acquired knowledge by designing a practice-oriented project/ AI+Art prototype in mixed groups. In addition, they take away with them the social contribution that can be made with ML.

At the end of the seminar, interdisciplinary teams will develop concepts for joint practice-related projects.
- Generative AI Art
- Machine Learning for Artists
- Bias & Digital Colonialism
- Trustworthy AI

Content

The module consists of presentations covering topics like «Machine Learning for Artists», «Generative AI Art» «Bias & Digital Colonialism», and «Trustworthy AI».
The presentations will be discussed in depth and key publications from computer science and art/theory will be read and discussed.
Experts from the different fields and artists will be invited and selected artworks will be discussed. At the end of the module, interdisciplinary teams will develop concepts for joint practice-oriented projects.

Invited experts:
- Dr. Alexandre R. Puttick, Data Science Researcher, Writer and Educator based in Biel/Berlin.
- Dr. Eva Cetinic, postdoctoral researcher at DSI (Digital Society Initiative, UZH)
- Dr. Hannes Bajohr, philosopher, literary scholar and poet. Junior Fellow Collegium Helveticum

Literature

Structure, program and references can be found here: Link

Prerequisites / Notice

This module is a cooperation between the Department of Fine Arts (ZHdK) and ETH AI Center.
It will take place in both universities (ZHdK + ETHZ), in ZHdK on Monday and Tuesday in the Viaduktraum, Toni Areal, Pfingstweidstrasse 96, 8005 Zürich.
It is open to BA students from both institutions and requires no prior technical or theoretical expertise.

Competencies

Subject-specific Competencies	Concepts and Theories	assessed
	Techniques and Technologies	fostered
Method-specific Competencies	Analytical Competencies	fostered
	Decision-making	fostered
	Media and Digital Technologies	fostered
	Problem-solving	assessed
	Project Management	fostered
Social Competencies	Communication	fostered
	Cooperation and Teamwork	fostered
	Customer Orientation	fostered
	Leadership and Responsibility	fostered
	Self-presentation and Social Influence	fostered
	Sensitivity to Diversity	fostered
	Negotiation	fostered
Personal Competencies	Adaptability and Flexibility	fostered
	Creative Thinking	fostered
	Critical Thinking	fostered
	Integrity and Work Ethics	fostered
	Self-awareness and Self-reflection	fostered
	Self-direction and Self-management	fostered

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits	2 credits
Examiners	A. C. Notz, N. Gräfin von Reischach
Type	ungraded semester performance
Language of examination	English
Repetition	Repetition only possible after re-enrolling for the course unit.
Additional information on mode of examination	Jeweils ein Kurzvortrag (15 Minuten, Q&A 5 Minuten) sowie Gruppenarbeit: Konzept für einen praxisbezogenen Prototyp/ ein gemeinsames, interdisziplinäres Projekt.

Learning materials


Main link	Information
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places	20 at the most
Waiting list	until 14.03.2023

Offered in

Programme	Section	Type
Computer Science Bachelor	Minor Courses	W