Generative artificial intelligence as a game changer for the science system

Reflections on the structural interlinkage of paramedic science and AI

Abstract

Background: The article examines the profound impacts of generative artificial intelligence (gAI) on the scientific system. Since the introduction of technologies like ChatGPT, academic and scientific work has significantly transformed through new approaches in data processing, hypothesis formation, and knowledge generation. In rescue science, in particular, the question arises as to how gAI affects theoretical and methodological foundations.

Research Question: How does gAI influence the scientific system and rescue science with regard to methodological standards and the self-conception of the logic of reproduction through publications?

Methodology: The article employs a systems-theoretical and reflective methodology to analyze the structural and epistemological changes brought about by gAI. It references current scientific discourses and publications that challenge methodological integrity and conceptions of identity within science.

Results: It is evident that gAI challenges traditional knowledge production and validation by blurring the boundaries between qualitative and quantitative research. This raises fundamental questions about the meaning of truth and scientific integrity. The role of researchers is increasingly shifting from knowledge production to the interpretation and validation of machine-generated content.

Discussion: The introduction of gAI raises significant questions for the self-conception of the scientific system, especially regarding methodological integration and the ethical aspects of the logic of reproduction as part of the scientific qualification system. Dependence on gAI could lead to an identity crisis among scientists, as traditional qualification criteria and mechanisms for establishing reputation will need to be re-evaluated.

Conclusion: Generative AI has the potential to fundamentally change the scientific system. Rescue science and similar disciplines must prepare for an epistemological realignment that redefines methodological tools and scientific integrity. This requires critical reflection to ensure that the fundamental principles of science are preserved.