Frederik Vejlin & Peter Dalsgaard
Research Project 1 funded by the Independent Research Fund DenmarkDescription
01/03-2025 → 29/02-2028
Søren Bro Pold , Kristin Veel , Malthe Stavning Erslev & Kristoffer Ørum
Generative AI (such as ChatGPT, Bard, Midjourney, Dall-E, etc.) can create new content based on so-called prompts that people write to them in everyday language. These technologies have rapidly been developed and have proliferated recently, but at the cost of transparency and comprehensibility. It is generally challenging to discern where the texts and images originate from and why they appear as they do. HAIC-III aims to combine humanistic methods with art and design practices to explore Generative AI as an expressive, creative, and cultural interface. The project draws on interdisciplinary research fields, including digital literature, critical data studies, and software studies. HAIC-III analyzes how Generative AI is constructed as an interface and how it establishes new relationships with cultural archives. Additionally, HAIC-III experiments with designing alternative interfaces for Generative AI and employs artistic research to examine how AI impacts current societal and cultural perceptions. Fundamentally, the project investigates how we can use artistic and design-based approaches to address and manage problematic aspects of Generative AI use through a focus on creative human-AI collaboration. HAIC-III prioritizes human-AI collaboration over automation and views Generative AI as a cultural expression engine and creative interface.Layman's description
01/02-2025 → 31/07-2028
Rachel Charlotte Smith , Rikke Hagensby Jensen , Adriënne Heijnen , Chris Paulus Muashekele & Victor Vadmand Jensen
Emerging artificial intelligent (AI) technologies are instrumental in the green transition towards more inclusive and sustainable futures, with a pivotal role in managing natural and green energy resources in diverse cultural contexts. Yet, the technologies are designed based on Westernised values, principles and models of prediction that challenge local participation, agency and empowerment. Addressing the urgent need for humanistic research for driving technological innovation and green transitions, P-AIAdevelops design anthropological approaches to explore and codesign decolonising forms of AI based on diverse local values, knowledges and lifeworlds in Namibia and Denmark. Through two complementary cases of net zero communities, responsible AI, and sustainable energy collectives, P-AIAcontributes with novel knowledge, methodologies and frameworks for developing everyday green automation for sustainable AI futures in highly culturally diverse local and global contexts.Description
01/02-2025 → 31/01-2028
Eva Eriksson , Rikke Hagensby Jensen & Jonas Frich
The project aims to provide teachers in higher education with innovative educational resources for teaching students reflective data practices for sustainable technology design with, through and by data. Acquiring the skills to design technology for eco-social values will be crucial for future generations of practitioners in their strive to achieve sustainable development. The educational resources developed will be published online as an open educational resource (OER).Description
01/09-2024 → 31/08-2027
