8. November 2023, 17.00 Uhr ONLINE via Webex
Lecture by Petra Gemeinböck (AT/AU) and Noor Stenfert Kroese (NL) as part of the Feminist AI Lecture Series.
Petra Gemeinboeck is an artist and researcher based in Melbourne. Her creative practice seeks to trouble and expand our relations with machines by exploring questions of embodiment, agency, and performativity. Petra is an Australia Research Council Future Fellow and Associate Professor at the Centre of Transformative Media Technologies, Swinburne University, Melbourne, where she leads the Human-Robot Experience (HRX) project. She also leads the FWF PEEK project ‘Dancing with the Nonhuman’ at the University of Applied Arts Vienna. Her artworks have been shown internationally, including at the Ars Electronica Festival, Linz; International Triennial of New Media Art at NAMOC, Beijing; Museum of Contemporary Art, Chicago; Foundation for Art and Creative Technology, Liverpool; and Gallery of Modern Art, Brisbane.
Noor Stenfert Kroese is a new media artist, scenographer and artistic researcher. From a critical post-humanistic perspective, her works evolve around the encounters between humans and non-humans in spatial performative installations.
Noor lives and works in Linz [AT], where she is a PhD candidate in Creative Robotics at the University of Art and Design Linz and University Assistant in the Master's program Art & Science at the University of Arts Vienna.
Her current research focuses on data storytelling of living organisms, fungi-inspired biocomputing and more-than-human interactions with industrial robots.
Noor's work was exhibited and performed at venues and festivals such as the Ars Electronica Festival (AT), Festival X (UAE), Barcelona Design Week (ES), and Dutch National Opera & Ballet (NL).
She received awards for her work from YouFab Global Creative Awards (JP), New Media Architecture Biennale (CA) and Prins Bernard Young Talent Award (NL).
Die Vortragsreihe, initiert von der Forschungsgruppe Critical Data der Abteilung Interface Cultures und dem akg (Arbeitskreis für Gleichbehandlungsfragen) der Kunstuniversität Linz, präsentiert inspirierende Vorträge zu Gender und KI.
In a technological landscape, where media discourse on AI is dominated by longtermism and hegemonic male, cis-gendered voices, discussions on the current power dynamics within the global AI ecosystem, and the subsequent impact onsociety is a main concern. Looking into AI through the perspective of gender and feminist thought, has allowed artists and scholars to interrogate the technology and its surrounding infrastructure through a critical lens, to rethink current structures and processes that define AI technology, but also to speculateon possible AI futures.
The Feminist AI lecture series will present inspiring lectures on gender and AI. Throughout this autumn, the series will bring together a diverse range of lectures by artists and scholars working at the intersection of technology, art and gender, who will present how feminist thinking and intersectional experience has influenced their work.
The Feminist AI lecture series is initiated by the Critical Data research group at Interface Cultures department and the akg (workinggroup for equal opportunities) of University of Arts Linz.
22.11.2023 17PM (CEST)
Paola Ricaurte Quijano (MX)
Alexia Achilleos (CY/FI)
13.12.2023 17PM (CEST)
Catherine D’Ignazio (US)
Vanessa Graf (AT)
10.01.2024 17PM (CEST)
Os Keyes (US)
Qingyi Ren (CN/UK/CH)
The Critical Data course is part of the Interface Cultures Masterprogramme / Institute of Media at University of Arts Linz. Critical Data examines the relationship between artists, critical mediation and use of data, dataprocessing systems and related knowledge. Not only can artists make visible how systems of digitisation work, but also how they do not. We critically investigate the place that society and its environment can take in relation to the latest technological developments. Critical Data questions the handling of technology and explores artistic worlds in the digitalcosmos, operating between promise, manipulation and conspiracy.
Critical Data is headed by Univ.Prof. Mag.art Manuela Naveau,PhD.