Feminist AI Lecture Series #4

22. November 2023, 17.00 Uhr ONLINE via Webex

Lecture by Paola Ricaurte Quijano (MX) and Alexia Achilleos (CY/FI) as part of the Feminist AI Lecture Series.

Paola Ricaurte Quijano is an associate professor in the Department of Media and Digital Culture at Tecnológico de Monterrey and faculty associate at the Berkman Klein Center for Internet & Society at Harvard University. With Nick Couldry and Ulises Mejías, she co-founded Tierra Común, a network of academics, practitioners and activists interested in decolonizing data. She participates in several expert committees, such as the Global Partnership for Artificial Intelligence (GPAI), the Global Index on Responsible AI and the Expert Group for the Implementation of the UNESCO Recommendation on the Ethics of Artificial Intelligence. She is a member of the <a+> Alliance for Inclusive Algorithms and leads the Latin American and Caribbean hub of the Feminist AI Research Network, f<a+i>r. In addition to her academic work, she participates in civil society initiatives to promote digital rights and the development of public interest technologies. 
 

Alexia Achilleos is a Finnish-Cypriot artist and researcher based in Cyprus, with a background in fine art, archaeology and cultural studies. Alexia is interested in the power dynamics that impact history, geopolitics and technology, with a focus on the Eastern Mediterranean. By investigating data and utilising machine learning processes, she aims to re-examine such topics from a local perspective. Her work re-interprets dominant narratives and questions biases found within history and society, but also within AI technology itself, particularly challenging the idea of technology as universal and objective. Alexia is a PhD Fellow at CYENS - Centre of Excellence, undertaking artistic research on colonialism and AI, as well as a Research Associate at MADLab, Cyprus University of Technology.

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.

To the online registration  

Further dates

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.

Plakat.pdf