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On the importance o...
On the importance of AI research beyond disciplines : establishing guidelines
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- Dignum, Virginia (author)
- Umeå University - Department Of Computing Science
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- Casey, Donal, 1984- (author)
- Kent Law School, University of Kent
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- Dignum, Frank (author)
- Umeå University - Department Of Computing Science
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- Holzapfel, André (author)
- KTH Royal Institute of Technology
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- Marusic, Ana (author)
- University of Split School of Medicine
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- Razmetaeva, Yulia (author)
- Uppsala universitet,Juridiska institutionen,Uppsala University
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- Tucker, Jason (author)
- Malmö universitet,Institutionen för globala politiska studier (GPS),Malmö University
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(creator_code:org_t)
- 2024
- English 10 s.
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https://uu.diva-port... (primary) (Raw object)
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https://doi.org/10.2...
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https://mau.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Subject headings
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- Artificial intelligence (AI) has evolved into a prominent player in various academic disciplines, transforming research approaches and knowledge generation. This paper explores the growing influence of AI across diverse fields and advocates for meaningful interdisciplinary AI research. It introduces the concept of "agonistic-antagonistic" interdisciplinary research, emphasizing a departure from conventional bridge-building approaches. Motivated by the need to address complex societal challenges, the paper calls for novel evaluation mechanisms that prioritize societal impact over traditional academic metrics. It stresses the importance of collaboration, challenging current systems that prioritize competition and individual excellence. The paper offers guiding principles for creating collaborative and co-productive interdisciplinary AI research environments, welcoming researchers to engage in discussions and contribute to the future of interdisciplinary AI research.
Subject headings
- SAMHÄLLSVETENSKAP -- Annan samhällsvetenskap -- Tvärvetenskapliga studier inom samhällsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Other Social Sciences -- Social Sciences Interdisciplinary (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Artificial Intelligence
- Interdisciplinary Research
- Societal Challenges
- Research Methodologies
- Ethical Considerations
- Artificiell intelligens
- Artificial Intelligence
Publication and Content Type
- vet (subject category)
- rap (subject category)
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