WEDNESDAY, June 30, 3-6pm AEST
3:15 – 4:15pm
4:45 – 6pm
Introduction by Anna Munster
Anna Ridler, Keynote
Automated Dreaming: Using AI in a Creative Practice
Philipp Schmitt, Excerpt of a work in progress Performance Lecture
How Does Thinking Look Like?
Panel 1: Images and Machine Learning Practices: critical interventions in art and curation
Ways of Curating (Datasets) | Katrina Sluis, Associate Professor, Head of Photography and Media Arts, Australian National University
Computer Learns Automation: real-time learning in game engine environments | Kynan Tan, Independent artist and postdoctoral fellow and, ARCDP, Re-Imaging the Empirical, National Institute for Experimental Arts, University of New South Wales
On the Modifications of Machine Learning | Monica Monin, Lecturer, University of Technology, Sydney
Anna Ridler is an artist and researcher who works with systems of knowledge and how technologies are created in order to better understand the world. She is particularly interested in ideas around measurement and quantification and how this relates to the natural world. Her process often involves working with collections of information or data, particularly datasets, to create new and unusual narratives. Her work has been exhibited at cultural institutions worldwide including the Victoria and Albert Museum, Tate Modern, the Barbican Centre, Centre Pompidou, HeK Basel, the ZKM Karlsruhe, Ars Electronica, Sheffield Documentary Festival and the Leverhulme Centre for Future Intelligence. She was a European Union EMAP fellow and the winner of the 2018-2019 DARE Art Prize.
Philipp Schmitt (he/him; b. 1993, Germany) is an artist, designer, and researcher based in Brooklyn, USA. His current work examines opacity and imagination in artificial intelligence research and its history. Currently, Philipp is a Berggruen Institute ToftH Research Fellow at NYU Center for Data Science.
Katrina Sluis is Associate Professor and Head of Photography & Media Arts at the School of Art & Design, Australian National University. She was previously Co-Director of the Centre for the Study of the Networked Image, London South Bank University and Senior Digital Curator at The Photographers’ Gallery, where she remains Adjunct Curator of Research.
Kynan Tan is an artist interested in digital systems, computation, multi-sensory perception, and our interdependent relations with technologies. Recent works use machine learning to investigate how computational systems unfold in time and virtual space, and how these systems can be perceived. Kynan lives and works on unceded Gadigal and Wangal land (Sydney).
Monica Monin is a practice-based researcher and educator investigating the effects, possibilities and role of computation, code and data within poetics (making). Through a critical coding practice, her research explores how intensive media ecologies transform the production of knowledge and meaning-making. She is a Lecturer in Visual Communication, Faculty of Design, Architecture and Building at the University of Technology Sydney.
THURSDAY, JULY 1, 3-6:30PM AEST
3 – 4pm
4:15 – 4:30pm
4:30 – 6pm
Fabian Offert, Keynote
Latent Deep Space: GANs between Art and Science
ImageMesh Project launch, Kynan Tan, Anna Munster, Adrian MacKenzie
Panel 2: Images, machine learning and practices of knowledge-production
Seeing living things through ML: salience, classification and attention | Mitchell Whitelaw, Professor, Design, Australian National University
A Is For Another: Making knowledge about AI and knowledge-making | Maya Indira Ganesh, writer and researcher, Bergruen Institute Fellow, Leuphana University, Lüneburg
Struggling with Algorithmic Seeing: Hegemonic CV and Antagonistic Practices | Gabriel Pereira, School of Communication and Culture, Aarhus University
Closing remarks by Adrian Mackenzie
Fabian Offert is a tenure track Assistant Professor in the History and Theory of Digital Humanities at the University of California, Santa Barbara. His research investigates machine learning as a critical technical practice in the digital humanities, with a special interest in the epistemology of machine vision. At UCSB, he is affiliated with the Center for Responsible Machine Learning and principal investigator of the UCHRI multi campus research group “Critical Machine Learning Studies”. Previously, Fabian was Postdoctoral Researcher in the DFG priority program “The Digital Image” (SPP 2172) and Affiliated Researcher in the Artificial Intelligence and Media Philosophy Research Group (KIM) at Karlsruhe University of Arts and Design. He has also worked for a number of German cultural institutions, including ZKM | Center for Art and Media Karlsruhe, Goethe-Institut New York, and Ruhrtriennale Festival of the Arts. Website: zentralwerkstatt.org.
Mitchell Whitelaw is a researcher, writer and maker with interests in digital design and culture, data practices, more-than-human worlds and digital collections. He has worked extensively with cultural institutions, developing “generous” interfaces to their digital collections. His current research investigates environmental and biodiversity visualisation, and digital design for a more-than-human world. Mitchell is currently Professor of Design in the School of Art and Design at the Australian National University.
Maya Indira Ganesh is a digital cultures theorist, researcher, and writer. Her work is an effort to constantly bring questions of power, justice, and global inequality, to those of language, knowledge, and the body. Her research interests include AI, automation, and autonomous technologies; and feminist politics of technology, violence, and intimacy.
Gabriel Pereira is a PhD Fellow at Aarhus University (Denmark). Projects with Gabriel have been exhibited in venues such as the 33rd Sao Paulo Art Biennial, the Van Abbemuseum, Galleri Image, IDFA DocLab, and Itaú Cultural. He is a Researcher in Residence at the Center for Arts, Design, and Social Research (CAD+SR). https://www.gabrielpereira.net/