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.
Author
Virginia Dignum
Umeå University
Donal Casey
Uppsala University
Teresa Cerratto-Pargman
Stockholm University
Frank Dignum
Umeå University
Valentina Fantasia
Lund University
Bodil Formark
Umeå University
Björn Hammarfelt
University of Borås
Gunnar Holmberg
Linköping University
André Holzapfel
Royal Institute of Technology (KTH)
Stefan Larsson
Lund University
Amanda Lagerkvist
Uppsala University
NIcolette Lakemond
Linköping University
Helena Lindgren
Umeå University
Fabian Lorig
Malmö university
Ana Marusic
School of Medicine, University of Split
Lina Rahm
Royal Institute of Technology (KTH)
Yulia Razmetaeva
Uppsala University
Sverker Sikström
Lund University
Kivanc Tatar
Chalmers, Computer Science and Engineering (Chalmers), Data Science and AI
University of Gothenburg
Jason Tucker
Malmö university
Subject Categories (SSIF 2025)
Other Social Sciences not elsewhere specified
DOI
10.48550/arXiv.2302.06655