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On the Importance of AI Research Beyond Disciplines: Establishing Guidelines

Dignum, Virginia ; Casey, Donal ; Dignum, Frank ; Holzapfel, Andre ; Marusic, Ana ; Razmetaeva, Yulia and Tucker, Jason LU (2024) In SSRN Electronic Journal
Abstract
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... (More)
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 (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; and
publishing date
type
Working paper/Preprint
publication status
published
subject
keywords
Artificial Intelligence (AI), Interdisciplinary Research, Societal challenges, Research Methodology, ethical considerations
in
SSRN Electronic Journal
pages
11 pages
DOI
10.2139/ssrn.4810891
project
Politics of AI & Health: From Snake Oil to Social Good - Funded by Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
language
English
LU publication?
no
id
3af81530-1aaf-4cc5-a87a-f79fd1192b1d
alternative location
https://www.ssrn.com/abstract=4810891
date added to LUP
2024-09-09 14:25:00
date last changed
2025-04-04 14:27:24
@misc{3af81530-1aaf-4cc5-a87a-f79fd1192b1d,
  abstract     = {{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}},
  author       = {{Dignum, Virginia and Casey, Donal and Dignum, Frank and Holzapfel, Andre and Marusic, Ana and Razmetaeva, Yulia and Tucker, Jason}},
  keywords     = {{Artificial Intelligence (AI); Interdisciplinary Research; Societal challenges; Research Methodology; ethical considerations}},
  language     = {{eng}},
  month        = {{04}},
  note         = {{Preprint}},
  series       = {{SSRN Electronic Journal}},
  title        = {{On the Importance of AI Research Beyond Disciplines: Establishing Guidelines}},
  url          = {{https://lup.lub.lu.se/search/files/194811999/On_the_importance_of_AI_research_beyond_disciplines-_establishing_guidelines.pdf}},
  doi          = {{10.2139/ssrn.4810891}},
  year         = {{2024}},
}