Recent developments in machine learning and artificial intelligence are rapidly transforming contemporary media cultures. Text-to-image models and related generative AI tools (text-to-video, text-to-music, text-to-code) are currently changing the ways people around the globe communicate and create media content. Large language models are similarly shifting the ways people learn and gain knowledge. The AI Media research group investigates the transformative effects of machine learning and generative AI on media and society.
AI-powered media applications are complex socio-technical configurations that challenge the existing explanatory frameworks of media theory. Understanding the technological workings and societal impacts of these applications calls for transdisciplinary frameworks and new critical vocabularies. This includes developing knowledges about practices and conventions that transform technologies into media forms. The overall research goal of the AI Media research group is to develop such much-needed frameworks, vocabularies, and knowledges.
The AI Media research group is made up of members with different but complementary backgrounds (humanities, social-science, computer science, and art). In this way, it seeks to build bridges and create an impactful dialogue across disciplines. In addition to the collaboration across departments and faculties at NTNU, the group engages in collaborations with several national and international research groups and centers.
The research interests of the group include:
- Machine vision
- AI-generated images and videos
- AI art
- Creative AI
- Deepfake AI
"Platform Realism: AI Image Synthesis and the Rise of Generic Visual Content"
Event info: February 16, 13:00-14:30, 8436 (Meeting Room Dept, of Arts and Media Studies) as well as over Zoom: https://zoom.us/j/97184415402, Meeting-ID: 971 8441 5402
Roland Meyer is a media and visual culture scholar specializing in the history and theory of networked image cultures. After positions at the UdK Berlin, the Deutsches Hygiene-Museum Dresden and the Humboldt-Universität zu Berlin, he is currently a postdoc researcher in the CRC 1567 Virtual Lifeworlds at Ruhr University Bochum. There, his research focuses on virtual image archives, AI image synthesis, and navigable images. His most recent book, Gesichtserkennung (Wagenbach 2021, series Digitale Bildkulturen), explores the cultural and social implications of automated facial recognition. Forthcoming in February 2024 is a guest edited volume of the series Bildwelten des Wissens titled »Bilder unter Verdacht«, focusing on practices of image forensics.
Guest lecture by Jean Lassègue: "Digitization of Law and Justice: where do we stand today?"
Event info: Wednesday, 13th September, 9:00-10:30, 8436 (Meeting Room Dept, of Arts and Media Studies)
Generative Imagery: Towards a ‘New Paradigm’ of Machine Learning-Based Image Production (2023)
Wilde, Lukas R.A., Marcel Lemmes und Klaus Sachs-Hombach (eds.): Generative Imagery: Towards a ‘New Paradigm’ of Machine Learning-Based Image Production, special-themed issue of IMAGE: The Interdisciplinary Journal of Image Sciences 37 (1), 2023