Impact of ChatGPT on Academia - Potential future scenarios

Balla Soma és Csiba Péter és Simon Dániel (2023) Impact of ChatGPT on Academia - Potential future scenarios. In: Foresight in research - case studies on future issues. Budapest Business School, Budapest, pp. 82-104. ISBN 9786156342560

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Abstract

The rapid development and growing utilization of advanced artificial intelligence (AI) models, such as OpenAI's ChatGPT, carries significant implications for numerous sectors, including the field of academia and research. The following article aims to better comprehend and understand the potential future outcomes, and possible concerns of the integration of such AI models into academic life. The research approach is laid upon the framework of future forecasting, guided by the principles of Bishop and Hines (2012), involving four key stages: framing, scanning, forecasting, and visioning. The methodology further incorporates the creation of models that outline plausible future scenarios, drawing from the strategic foresight approach advocated in Gáspár's "Strategia Sapiens" (2012; 2015). The study collects data through an extensive review of already available literature on the subject, combined with a thematic overview of qualitative data gathered from the analysation of previously performed semi-structured interviews conducted with five experts in the field. The aim of the research is not only to uncover plausible future scenarios surrounding the impact of ChatGPT on academia, but also to identify potential concerns and areas of caution that may need to be addressed in the upcoming future based on the performed literature review and thematic analysis. The research underscores the importance of maintaining transparency in discussions about the integration of AI in academic processes. Overall the research aims to provide a peek into the possible of outcomes of the rapid development and wide availability of ChatGPT.

Tudományterület / tudományág

társadalomtudományok > közgazdaságtudományok

Intézmény

Budapesti Gazdasági Egyetem

Mű típusa:	Könyv része
Szerző publikációban használt neve:	Publikációban használt név ORCID MTMT szerző azonosító Balla Soma Csiba Péter Simon Dániel
Kulcsszavak:	ChatGPT, Artificial Intelligence, academia, research
Felhasználó:	Hargitai-Lőrincz Andrea
A mű MTMT azonosítója:	34020715
DOI azonosító:	https://doi.org/10.29180/9786156342560_5
Rekord készítés dátuma:	2023. Jún. 16. 11:08
Utolsó módosítás:	2023. Dec. 12. 09:40
URI:	https://publikaciotar.uni-bge.hu/id/eprint/2067

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