On the importance of AI research beyond disciplines
Preprint, 2023
As the impact of AI on various scientific fields is increasing, it is crucial to embrace interdisciplinary knowledge to understand the impact of technology on society. The goal is to foster a research environment beyond disciplines that values diversity and creates, critiques and develops new conceptual and theoretical frameworks. Even though research beyond disciplines is essential for understanding complex societal issues and creating positive impact it is notoriously difficult to evaluate and is often not recognized by current academic career progression. The motivation for this paper is to engage in broad discussion across disciplines and identify guiding principles fir AI research beyond disciplines in a structured and inclusive way, revealing new perspectives and contributing to societal and human wellbeing and sustainability.
Författare
Virginia Dignum
Umeå universitet
Donal Casey
Uppsala universitet
Teresa Cerratto-Pargman
Stockholms universitet
Frank Dignum
Umeå universitet
Valentina Fantasia
Lunds universitet
Bodil Formark
Umeå universitet
Björn Hammarfelt
Högskolan i Borås
Gunnar Holmberg
Linköpings universitet
André Holzapfel
Kungliga Tekniska Högskolan (KTH)
Stefan Larsson
Lunds universitet
Amanda Lagerkvist
Uppsala universitet
NIcolette Lakemond
Linköpings universitet
Helena Lindgren
Umeå universitet
Fabian Lorig
Malmö universitet
Ana Marusic
School of Medicine, University of Split
Lina Rahm
Kungliga Tekniska Högskolan (KTH)
Yulia Razmetaeva
Uppsala universitet
Sverker Sikström
Lunds universitet
Kivanc Tatar
Chalmers, Data- och informationsteknik, Data Science och AI
Göteborgs universitet
Jason Tucker
Malmö universitet
Ämneskategorier (SSIF 2025)
Övrig annan samhällsvetenskap
DOI
10.48550/arXiv.2302.06655