NMDS
5458

Generative Media and Artificial Intelligence: Digital Theories of Autonomy and Alienation

Schools of Public Engagement: Media

Liberal Arts
Undergraduate Course
Graduate Course
Degree Students
Generative Media and AI
Spring 2024
Taught By: David Bering-Porter
Section: A

CRN: 14956

Credits: 3

Do you ever feel like you’re being watched? Do you feel like your phone or your laptop is listening to you? Very likely, it is, and belongs to a new class of software that is trained to observe your behavior and predict your desires, or at least to correctly guess what you’ll type next. This kind of software has become increasingly common: it is embedded into the websites we visit such as the search algorithms in Google, Netflix, and Amazon; listening to us through Siri, Alexa, Cortana, and Google Assistant; watching us through cameras in our personal technologies and in our cities leading to facial recognition, Snapchat filters, and “deepfakes.” Generative media is not just a tool that we use, but an increasingly active collaborator with us across media forms in our everyday lives. This course will explore the emerging field of generative media through a series of case studies ranging from visual and social media, digital technology and coding, audio recognition and synthesis, and the intersections of contemporary art practices and data science. We will draw on ideas from machine learning and artificial intelligence, digital theory and the history of technology, and philosophy to consider questions about the evolution of AI such as: is it possible for an AI to become fully conscious and autonomous? What is happening when my phone responds to a question? Can a computer make art? What does the phenomenology of artificial intelligence look like? What would it mean for an AI to have its own style or aesthetic? We will begin to answer these questions through an exploration generative media from the perspective of media studies, computer science and cybernetics, neural networks and deep learning, and generative adversarial networks. This course will emphasize philosophical, historical, and theoretical understandings of artificial intelligence and machine learning while looking to a diverse array of examples from contemporary art, digital culture, and popular media.

Media Studies courses are open to all graduate students. Undergraduate Juniors and Seniors with permission from the instructor and BA/MA Media studies students should email mediastudiesadvising@newschool.edu for access.

College: Schools of Public Engagement (NS)

Department: Media (MED)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 9

Add/Drop Deadline: February 4, 2024 (Sunday)

Online Withdrawal Deadline: April 16, 2024 (Tuesday)

Seats Available: Yes

Status: Closed*

* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 11:02am EDT 5/26/2024

Meeting Info:
Days: Thursday
Times: 6:00pm - 7:50pm
Building: 6 East 16th Street
Room: 1102
Date Range: 1/25/2024 - 5/9/2024