Machine flaws in generative art

• Main Authors: Grba, Dejan, Todorović, Vladimir, Boye, Paul, Kang, Kristy H. A., Pandilovski, Melentie
• Other Authors: School of Art, Design and Media
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Visual arts and music::Media; Generative Art; Virtual Reality
• Online Access: https://hdl.handle.net/10356/142396
• Institution: Nanyang Technological University

This panel focuses on opening up a discussion on the role of art in the times when AI systems are becoming ubiquitous. It embraces the machine flaws, irregularities and errors that artists explore to push the boundaries of their art practice and find new thematic, technological and conceptual grounds for experimentation. The panel explores and compares multiple views, case studies and projects produced in various disciplines including data driven city portraits, generative media facades, urban media art, spatiotemporal visualizations, machine learning narrative experiments in VR, neural networks and art; and discrepancies or interrelatedness between human creativity and the future of Artificial general intelligence (AGI).