Innovation or Imitation? A Critical Analysis of AI-Authored vs. Human-Authored Scientific Papers

Activity: Talk or presentationContributed talkscience-to-science

Description

The use of Artificial Intelligence (AI) in research and academic publishing has been a topic of growing interest and debate. While some argue that AI-based systems have the potential to revolutionize the way scientific papers and academic work are generated, others express concerns about the authenticity of AI-authored papers. Several respected organizations have recently developed guidelines regarding the use of AI in scholarly manuscripts and publishing. This critical analysis will examine the advantages and disadvantages of AI-authored scientific papers compared to those authored by humans. The underlying work describes the process of creating different papers solely with the help of ChatGPT or Jenni AI and compares them to human written drafts. Therefore, both AI tools were asked to generate scientific papers about the “History of Digital Education in Austria”, “A History of Women in Computer Science”, and “Modelling of Mental Arithmetic Strategies Using UML”. In conclusion, it is indisputable that AI-driven tools significantly facilitate the drafting of outlines, titles, and the composition of papers. However, the creation of a high-quality scientific academic publication still demands considerable human input, encompassing both creative effort and critical thinking, to ensure depth, originality, and scholarly rigor.
Period03 May 2024
Event titleProceedings of the 16th International Conference on Computer Supported Education, CSEDU 2024
Event typeConference
LocationFranceShow on map

Fields of science

  • 503 Educational Sciences
  • 503007 Didactics
  • 503008 E-learning
  • 503015 Subject didactics of technical sciences
  • 503032 Teaching and learning research
  • 503013 Subject didactics of natural sciences

JKU Focus areas

  • Digital Transformation