Rachel Charlotte Smith , Rikke Hagensby Jensen & Adriënne Heijnen
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
Victor Vadmand Jensen , Jeppe Lange , Marianne Johansson Jørgensen , Jan Wolff , Rikke Hagensby Jensen & Mette Terp Høybye
With the increasing introduction of artificial intelligence (AI) into clinical medicine, ethical issues have been highlighted. For example; how do we navigate wanting both accurate, but complicated, AI models with wanting to explain their inner workings? When clinicians and patients encounter ethical issues, they may reject using AI models, meaning that possible benefits like faster diagnostics or personalized treatments may be lost.
This PhD project aims to investigate the ethical issues that arise with the introduction of AI into healthcare and clinical medicine. Specifically, it will unfold the possible ethical issues that might arise in the future given the current state of AI in this field. By understanding how clinicians and patients understand and engage with the future ethical issues of healthcare AI in practice today, we will understand how to develop and implement AI in healthcare that can be deemed ethically acceptable both now and in the future.Description
01/08-2024 → 31/07-2027
Anders Albrechtslund , Astrid Meyer , Polina Velyka , Virginie Behar & Andrea Sehested Thomsen
The aim is to foreground the “who” of surveillance - we are not just observed objects, but also subjects who experience and practice surveillance - thus opening new scientific territory. Three qualitative case studies focusing on healthcare and daily life investigate the experience of surveillance, technological affordances, and diverse forms of agency individuals use in response to surveillance.Description
01/07-2024 → 30/06-2029
