4.6 Article

Accurately detecting AI text when ChatGPT is told to write like a chemist

Related references

Note: Only part of the references are listed.
Editorial Material Medicine, General & Internal

Nonhuman Authors and Implications for the Integrity of Scientific Publication and Medical Knowledge

Annette Flanagin et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2023)

Editorial Material Chemistry, Physical

AI et al.: Machines Are About to Change Scientific Publishing Forever

Gianluca Grimaldi et al.

ACS ENERGY LETTERS (2023)

Letter Engineering, Biomedical

ChatGPT: Detection in Academic Journals is Editors' and Publishers' Responsibilities

Jaime Teixeira A. da Silva

Summary: This letter emphasizes that editors and journals/publishers bear the responsibility to detect AI-generated text in order to maintain authorship validity and preserve the integrity of biomedical literature.

ANNALS OF BIOMEDICAL ENGINEERING (2023)

Editorial Material Computer Science, Artificial Intelligence

Why technical solutions for detecting AI-generated content in research and education are insufficient

Jahna Otterbacher

Summary: Papers published recently in Patterns and Cell Reports Physical Science by Desaire et al. and Liang et al. demonstrate that AI-generated content detectors are not flawless and often generate new challenges. Instead of using AI to combat AI, it is crucial to foster an academic culture that encourages the ethical and creative application of generative AI.

PATTERNS (2023)

Letter Critical Care Medicine

Large language models and the perils of their hallucinations

Razvan Azamfirei et al.

CRITICAL CARE (2023)