Universität Wien

124264 KO Critical Media Analysis (2024S)

Critical Media Literacy in the age of AI

6.00 ECTS (2.00 SWS), SPL 12 - Anglistik
Prüfungsimmanente Lehrveranstaltung
DIGITAL
Sa 25.05. 10:00-15:00 Digital

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

The classes start s.t. (sine tempore - at 10:00 sharp). Please follow the instructions on moodle to join the zoom meetings.

In addition to the 5 Saturdays, participation in one of the e-lectures of the “Critical AI Seminar Series” organized by the CREATE lab of the University of Amsterdam is mandatory. You have to sign up to receive a link to the event on the bottom of the event page.
Choose between:
- March 20 from 4-5:30 PM CEST: On the Power Dynamics and Labour Conditions on ML Data Production - talk by Milagros Miceli (Weizenbaum-Institut) and Julian Posada (Yale University) https://www.create.humanities.uva.nl/events/4-critical-ai-seminar-series-on-the-power-dynamics-and-labour-conditions-on-ml-data-production/
- May 15 from 4-5:30 PM CEST: Computing taste. Nick Seaver (Tufts University) https://www.create.humanities.uva.nl/events/5-critical-ai-seminar-series-computing-taste/

Samstag 09.03. 10:00 - 12:00 Digital
Samstag 16.03. 10:00 - 12:00 Digital
Samstag 20.04. 10:00 - 15:00 Digital
Samstag 15.06. 10:00 - 15:00 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

In the whirlwind of viral sensations like "The Pope in Balenciaga", images of the arrest of Donald Trump, or the surreal caricatures of "the most Austrian village ever" (make it more!), the past year has witnessed a surge in AI-generated images captivating online and print audiences alike. This phenomenon has sparked a spectrum of reactions ranging from disbelief and concern to unbridled enthusiasm, wondering whether this surge in AI techniques for amateur cultural production marks a tipping point in digital culture: new dimensions of creativity, playful artistic social commentary, fan culture, and unprecedented accessibility to once-elite techniques coexist with the darker side – harmful deep fakes, fake news, manipulative stereotyping, and the capitalist drive to exploit and monetize every facet of cultural production.

Does this call for new levels of critical media literacy capable of navigating the intricate (ab)use of technology, agency, and power in the age of AI? This course ventures beyond the purely technical exploration of AI and delves into what people, corporations, and politics can and do with this technology. We explore how power dynamics concerning class, race, gender, and ability are inscribed, produced, or challenged through the use of AI applications, their labor and production contexts, and their representations in popular culture. We will begin with foundational aspects of critical media literacy, extending to an exploration of ethical, ideological, political, and economic considerations surrounding the implications of AI for cultural production.

Fostering active participation and collaborative learning, the course blends e-lectures, discussions of class readings and case studies, small group in-class activities, and presentations by study groups. The objective is to empower students as informed navigators in the evolving media landscape, enabling them to consume, question, and contribute to media content critically and responsibly in the age of AI. Through the cultivation of students' abilities to evaluate media content influenced by AI, the course encourages AI literacy, a nuanced understanding of concepts such as authenticity, bias, and underlying power dynamics. Students will heighten their ethical and societal awareness by exploring AI's role in shaping cultural production, public opinion, reinforcing or challenging societal norms, and influencing cultural discourses and narratives. The course also equips students to apply theoretical knowledge to real-world examples, delving into controversial cases in the creative industries and media. Practical insights are gained through hands-on tasks using AI apps in study groups. Furthermore, the course aims to enhance students' proficiency in annotating academic texts and communicating complex ideas related to critical media literacy and AI, both in written and oral forms.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Part 1 (40 credits) participation: continuous preparation for class via moodle, in-class discussions, in-class presentation, feedback
Part 2 (20 credits) midterm reading response: upload 4 annotated readings
Part 3 (40 credits) final essay based on presentations

The use of AI tools needs to be acknowledged, cited, and reflected. Best practice examples will be discussed in class.

Mindestanforderungen und Beurteilungsmaßstab

Students must pass with more than 50% in every part and overall, (extra-credits possible in part 1)
89-100 credits: 1
76-88 credits: 2
63-75 credits: 3
50-62 credits: 4
0-49 credits: 5

Prüfungsstoff

materials covered in class, research for case study, annotated readings

Literatur

Jiang, Harry H., et al. “AI Art and Its Impact on Artists.” Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, ACM, 2023, pp. 363–74.
Jin, D.Y. Artificial Intelligence in Cultural Production: Critical Perspectives on Digital Platforms (1st ed.). Routledge, 2023.
Kellner, Douglas, and Jeff Share. “Critical Media Literacy Is Not an Option.” Learning Inquiry, vol. 1, no. 1, Apr. 2007, pp. 59–69.
Lindgren, Simon. Handbook of Critical Studies of Artificial Intelligence. Cheltenham, UK: Edward Elgar Publishing, 2023.
Lopez, Lori Kido. Race and Digital Media: An Introduction. Polity Press, 2023.
Miao, Fengchun & Holmes, Wayne for UNESCO. "Guidance for generative AI in education and research", 2023, https://unesdoc.unesco.org/ark:/48223/pf0000386693
Mussies, Martine. "Artificial Intelligence and the Production of Fan Art." Transformative Works and Cultures, no. 40, 2023.
Phan, Tao. Hancock Lecture: "Artificial Figures: Gender-in-the-Making in Algorithmic Culture.", 2023.
Steyerl, Hito. “Mean Images.” New Left Review, no. 140/141, Apr. 2023, pp. 82–97.
“Teaching AI Ethics: The Series.” Leon Furze, 16 June 2023, https://leonfurze.com/ai-ethics/


Zuordnung im Vorlesungsverzeichnis

Studium: BA 612, BEd 046/407
Code/Modul: BA07.3; BEd 08a.2, BEd 08b.1
Lehrinhalt: 12-4260

Letzte Änderung: Di 05.03.2024 12:06