Theorie: Einführung: Kunstgeschichte(n) & -begriffe (2. Semester) Annemarie Bucher, Marcel Bleuler
3 CreditsBFA-BFA-Th.22F.001
Theory: Art & AI (gLV) Felix Stalder, Nora Al-Badri & Adrian Notz (ETH Art and AI program)
3 CreditsBFA-BFA-Th.22F.009
Theory: Art Histories: Art & Social Art Practices (gLV) Marcel Bleuler, Elke Bippus
3 CreditsBFA-BFA-Th.22F.007
Theory: Introduction: Art Histories & Terms (2. Semester) Meret Kaufmann, Marcel Bleuler
3 CreditsBFA-BFA-Th.22F.003
Theory: Art & AI (gLV) 
What kind of AI do we want? Bringing artistic and technological practices together.
Wird auch angeboten für
| Nummer und Typ | BFA-BFA-Th.22F.009 / Moduldurchführung |
|---|---|
| Modul | Theorie |
| Veranstalter | Departement Fine Arts |
| Leitung | Felix Stalder, Nora Al-Badri & Adrian Notz (ETH Art and AI program) |
| Anzahl Teilnehmende | maximal 18 |
| ECTS | 3 Credits |
| Voraussetzungen | Course language: English & German |
| Zielgruppen | BA Fine Arts students Open for exchange students Interested BA students of other study programmes can register from 01 to 20 February 2022 by ClickEnroll; https://intern.zhdk.ch/?ClickEnroll Interested MA students write an email between 01 to 20 February 2022 to: studium.dfa@zhdk.ch We will inform you by e-mail in CW 8 whether participation is possible. Applications before 01 February 2022 will not be accepted. |
| Lernziele / Kompetenzen |
|
| Inhalte | This is a joint module for BFA students and BA students of Computer Science (ETH) to bring together artistic and technological perspectives. 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. The module consists of presentations covering topics like «History Art+Science», «Machine Learning for Artists», «Bias & Digital Colonialism», «Trustworthy AI» and «Indigenous 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. This module is a cooperation between the Department of Fine Arts (ZHdK) and ETH AI Center. It is open to BA students from both institutions and requires no prior technical or theoretical expertise. Felix Stalder (*1968) is a professor in the BA Fine Arts. His work focuses on the intersections of cultural, political and technological dynamics, in particular on new modes of common-based production, control society, copyright and transformation of subjectivity. He not only works as an academic, but also as a cultural producer, being a moderator of the mailing list <nettime> and a member of the World Information Institute as well as the Technopolitics Working Group (both in Vienna). Publications a.o. “Aesthetics of the Commons” (co-editor, Diaphanes, 2021), and “Digital Unconscious” (co-editor, Autonomedia, 2021), https://fs.zhdk.ch, https://felix.openflows.com Nora Al-Badri (*1984) is a multi-disciplinary and conceptual media artist with a German-Iraqi background. Her works are research-based as well as paradisciplinary and as much post-colonial as post-digital. She lives and works in Berlin. Her practice focuses on the politics and the emancipatory potential of new technologies such as machine intelligence or data sculpting, non-human agency and transcendence. https://www.nora-al-badri.de Adrian Notz (*1977) is a freelance curator as well as curator at the ETH AI Center and at the Tichy Ocean Foundation, mentor for the creative strategy and vision at the European Center for Contemporary Art in Cluj (ECCA) and Chevalier de la Tombe de Bakunin. From 2012-2019 he was artistic director of Cabaret Voltaire in Zurich. From 2010 to 2015 he was head of the Department for Fine Arts at the School of Design in St. Gallen. |
| Bibliographie / Literatur | Will be handed out during the course |
| Leistungsnachweis / Testatanforderung | Mandatory attendance (minimum 80%); active participation |
| Termine | Time: 09:15 - 17:00 o'clock CW 11: 14 / 15 / 16 / 17 / 18 March |
| Bewertungsform | bestanden / nicht bestanden |
