Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence

With the rapid development and integration of AI in various domains, understanding the nuances of AI research has become critical for policymakers, researchers, and practitioners. However, the results are vast and diverse and even can be contradictory or ambivalent, presenting a significant challeng...

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Autores principales: Sohail, Shahab Saquib, Madsen, Dag Øivind, Himeur, Yassine, Ashraf, Maheen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413582/
https://www.ncbi.nlm.nih.gov/pubmed/37575206
http://dx.doi.org/10.3389/frai.2023.1195797
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author Sohail, Shahab Saquib
Madsen, Dag Øivind
Himeur, Yassine
Ashraf, Maheen
author_facet Sohail, Shahab Saquib
Madsen, Dag Øivind
Himeur, Yassine
Ashraf, Maheen
author_sort Sohail, Shahab Saquib
collection PubMed
description With the rapid development and integration of AI in various domains, understanding the nuances of AI research has become critical for policymakers, researchers, and practitioners. However, the results are vast and diverse and even can be contradictory or ambivalent, presenting a significant challenge for individuals seeking to grasp and synthesize the findings. This perspective paper discusses the ambivalent and contradictory research findings in the literature on artificial intelligence (AI) and explores whether ChatGPT can be used to navigate and make sense of the AI literature.
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spelling pubmed-104135822023-08-11 Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence Sohail, Shahab Saquib Madsen, Dag Øivind Himeur, Yassine Ashraf, Maheen Front Artif Intell Artificial Intelligence With the rapid development and integration of AI in various domains, understanding the nuances of AI research has become critical for policymakers, researchers, and practitioners. However, the results are vast and diverse and even can be contradictory or ambivalent, presenting a significant challenge for individuals seeking to grasp and synthesize the findings. This perspective paper discusses the ambivalent and contradictory research findings in the literature on artificial intelligence (AI) and explores whether ChatGPT can be used to navigate and make sense of the AI literature. Frontiers Media S.A. 2023-07-27 /pmc/articles/PMC10413582/ /pubmed/37575206 http://dx.doi.org/10.3389/frai.2023.1195797 Text en Copyright © 2023 Sohail, Madsen, Himeur and Ashraf. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Sohail, Shahab Saquib
Madsen, Dag Øivind
Himeur, Yassine
Ashraf, Maheen
Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence
title Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence
title_full Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence
title_fullStr Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence
title_full_unstemmed Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence
title_short Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence
title_sort using chatgpt to navigate ambivalent and contradictory research findings on artificial intelligence
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413582/
https://www.ncbi.nlm.nih.gov/pubmed/37575206
http://dx.doi.org/10.3389/frai.2023.1195797
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