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AI evidence extraction

ChatGPT isn’t an author, but a contribution taxonomy is needed

Yana Suchikova, Natalia Tsybuliak · Accountability in Research · 2024

AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.

9/10
Relevance
1/4
Quality (LMQS)
I
Evidence
11
Citations
1.13
FWCI
Top 10%
Impact

This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.1080/08989621.2024.2405039

Methodology & findings

Study design

Conceptual commentary proposing a taxonomy framework; no empirical study conducted.

Main result

The authors argue that "Establishing an AI contributions taxonomy for the production and publication of research output would address inconsistencies in AI disclosure, enhance transparency, and uphold accountability in research. It would help differentiate between AI-assisted and human-led tasks, providing more explicit attribution of contributions."

Reports effect sizes.

Research paradigm

Interpretive/argumentative

Author conclusions

The authors conclude that "A well-defined AI contributions taxonomy for the production and publication of research output would foster transparency and trust in using AI in research, ensuring that AI's role is appropriately acknowledged while preserving academic integrity."

Open questions raised

  • The paper identifies the need for standardized frameworks to clarify AI's role in academic research. It highlights inconsistencies in current AI disclosure practices and calls for a standardized method that differentiates between AI-assisted and human-led tasks in hypothesis generation, data analysis, manuscript preparation, and ethical oversight.
  • The paper identifies the need for standardized AI disclosure practices in academic publishing, highlighting inconsistencies in current reporting of AI use in research production and the absence of clear attribution guidelines.
  • The paper identifies the need for standardized AI disclosure in academic research and the lack of clear attribution frameworks for AI contributions in research production and publication.
Data: not_statedCode: not_statedExtracted from: pdfAgreement 83%

Explore related topics

Authorship & AttributionResearch IntegrityPosition Paper

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