Are Preprints a Threat to the Credibility and Quality of Artificial Intelligence Literature in the ChatGPT Era? A Scoping Review and Qualitative Study

Adarkwah, Michael Agyemang; Islam, A. Y. M. Atiquil; Schneider, Käthe; Luckin, Rose; Thomas, Michael; Spector, Jonathan Michael

doi:10.1080/10447318.2024.2364140

International Journal of Human–Computer Interaction

2024

DOI: 10.1080/10447318.2024.2364140

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Are Preprints a Threat to the Credibility and Quality of Artificial Intelligence Literature in the ChatGPT Era? A Scoping Review and Qualitative Study

Michael Agyemang Adarkwah,

A. Y. M. Atiquil Islam,

Käthe Schneider

et al.

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2024

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Restructuring the Landscape of Generative AI Research

Edam

2024

Advances in Educational Technologies and Instructional Design

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This Chapter delves into the impact of generative AI on academic research and publishing, discussing various architectures such as Mixture of Experts (MoE), Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Generative Pre-trained Transformers (GPT). The research explores the increase of AI-centered preprints, their effects on peer review, and the ethical considerations linked to them. The peer-review system's integrity is under examination, focusing on challenges related to AI, misuse, and redefining plagiarism. The chapter explores the potential of AI tools to improve peer review processes and stresses the importance of academic institutions creating ethical frameworks for AI utilization. The article concludes by evaluating the advantages and drawbacks of generative AI in research, with the goal of presenting a fair viewpoint on its revolutionary capabilities while upholding ethical principles.

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Restructuring the Landscape of Generative AI Research

Edam

2024

Advances in Educational Technologies and Instructional Design

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Are Preprints a Threat to the Credibility and Quality of Artificial Intelligence Literature in the ChatGPT Era? A Scoping Review and Qualitative Study

Cited by 1 publication

References 41 publications

Restructuring the Landscape of Generative AI Research

Restructuring the Landscape of Generative AI Research

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