Duration
How are artificial intelligence and automated digital systems affecting contemporary art and curatorial practices? What ethical and critical questions arise from new human-machine relations?
This course will teach participants about the various applications of artificial intelligence and semi-automated digital systems to contemporary art and culture. By drawing on case studies and historical references, participants will gain a comprehensive understanding of how automated digital technologies are defining the future of contemporary art, in terms of aesthetics, ethics, languages and markets.
First, the course begins with an overview of the role of semi-automated intelligent softwares in contemporary art and visual culture from the 1990’s to today.
Second, we will learn about GAN database machine learning processes and AI prompt systems (including Open AI, Midjourney, Stable Diffusion, Imagen) and how these recent technologies have been applied in media art and the digital art market.
Last but not least, the course reflects on questions and new possibilities that arise from the development of artificial intelligence, including:
This course is aimed at art creatives (artists, photographers, visual designers) and professionals (curator, critics, gallerists, collectors) with a keen interest in fringe technologies and scientific research related to the application of artificial and automated digital methods to contemporary art.
*Prices include VAT
Image by Marko Brečić
Week 1: Introduction to the program and course overview
Introduction to the program and course overview. This is a one-hour-only welcome session. The lecturer will introduce the program and participants will introduce themselves. No prior preparation is necessary.
Week 2: History and evolution of AI
2.1. The origins of Artificial Intelligence
2.2. Which intelligence?
2.3. Different fields of applications
2.4. Training datasets
2.5. AI and contemporary visual culture
Week 3: AI between Media Art and Digital Art
3.1. Re-thinking artworks in the media lab scenario
3.2. Exhibitions, events, meetings and conferences
3.3. Internet, datasets and network systems
3.4. Environments and installations
3.5. Robotics, cyborgs and expanded bodies
Week 4: Artificial Intelligence and Visual Arts
4.1. Generative art: hybrid aesthetics at the dawn of AI
4.2. Deep Learning and Generative Models
4.3. Self-Attention mechanisms
4.4. Operational images
4.5. Curatorship, authorship and markets
Week 5: New issues, ethics and aesthetics
5.1. Speculations of a possible future
5.2. An «intelligent» society
5.3. The biases of computer vision
5.4. Fluid bodies and identities
5.5. Ontology: among humans, machines and environment
Live captioning will be available during the video conference.
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