Theories, Methods, and Experiments in Ar

The use of artificial intelligence—propelled by deep learning techniques—to analyze, curate, and generate digital images is having a profound influence on visual culture, one that well exceeds Jacques Derrida's anticipations of the effects of technology on society as he described them in Archive Fever. While regulation around emerging technologies such as AI is being formulated across the globe with much urgency, a problematic concept of “tech ethics” is being espoused by the leading technology companies that imposes a simplistic moralistic framework on potential policies. Through examination of the creative applications of AI, the aim of this seminar is to foster a nuanced critical discourse on AI art that places the ethics of emerging technologies at center stage. This course provides students with an introduction to the history of AI art and explores the challenges and opportunities that this burgeoning field faces, especially in regard to the regulation of technology. Class visits to Mercer Labs, Artechouse, MoMA, and the Whitney will allow students to directly engage with the core concepts of the seminar.

The course begins with reflection on Adorno’s prescient statement that technical rationality is “the rationality of domination,” and challenges both the cynicism and optimism around emerging technologies and their effect on visual culture. We will question the accountability that art history and other fields of study have, if any, to steer the ethics debates spurred by today’s “culture industry” of digital images, and ask what the custodianship of this space entails by examining its structures of power, conveyed visually or through automated processes enabled by computer vision science. By interrogating the socio-cultural effects of the use of machine learning on images—such as algorithmic biases that lend to discrimination, or surveillance and privacy concerns in regard to facial recognition technologies—new and diverse perspectives on visual culture are investigated. Although the mechanisms that enable technology to develop may be lending to the commodification and homogenization of visual culture, the seemingly democratic promises that big tech touts keep us captivated yet surprisingly uncritical. If the transformative role of AI on our visual culture is constituting a new type of archaeology of knowledge, how do we critically lend to its discourse through the theories, methods, and experiments surrounding art and AI?