Generative AI, Integrity, and Academic Publishing

Benjamin Luke Moorhouse*

*Corresponding author for this work

Research output: Contribution to conferenceConference abstract

Abstract

Generative Artificial Intelligence (GenAI) development offers huge potential to facilitate knowledge production and dissemination. Capabilities such as accurate contextualized and coherent instance translations enable writers to present knowledge in the languages and modalities of their choice. This could reduce the stranglehold English (and its standard forms common to academic publishing) has on knowledge production and dissemination. At the same time, these same tools have the potential to dilute and contaminate knowledge.
GenAI is shifting the current knowledge production landscape and challenging preexisting notions of integrity. In the present environment, deception seems to be preferred to the transparent use of GenAI tools. The risk of being judged as deficient or lacking integrity that an author could receive by declaring their ‘assistance’ or ‘partnership’ from GenAI outweighs the desire to be transparent. Some high-profile cases have fed these concerns.
In this talk, I argue that this current way of thinking about GenAI and knowledge production needs to change. We need to normalise the use of GenAI tools in knowledge production processes and create methodological models and frameworks that emphasis the ethical, transparent and legitimate uses of these tools in supporting researchers in their knowledge production.
Original languageEnglish
Publication statusPublished - 6 Dec 2024
EventJULAC Forum 2024 - Polytechnic University of Hong Kong, Hong Kong
Duration: 6 Dec 20246 Dec 2024
https://www.julac.org/?event=2024-julac-libraries-forum-6-december-2024

Forum

ForumJULAC Forum 2024
Country/TerritoryHong Kong
Period6/12/246/12/24
Internet address

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