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Criticalities and Advantages of the Use of Artificial Intelligence in Research

Criticalities and Advantages of the Use of Artificial Intelligence in Research
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Author(s): Jessica Camargo Molano (International Telematic University Uninettuno, Rome, Italy) and Jacopo Cavalaglio Camargo Molano (University of Modena and Reggio Emilia, Italy)
Copyright: 2022
Pages: 15
Source title: Handbook of Research on Advanced Research Methodologies for a Digital Society
Source Author(s)/Editor(s): Gabriella Punziano (University of Naples Federico II, Italy) and Angela Delli Paoli (University of Salerno, Italy)
DOI: 10.4018/978-1-7998-8473-6.ch011

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Abstract

In recent years, artficial intelligence, through the rapid development of machine learning and deep learning, has started to be used in different sectors, even in academic research. The objective of this study is a reflection on the possible errors that can occur when the analysis of human behavior and the development of academic research rely on artificial intelligence. To understand what errors artificial intelligence can make more easily, three cases have been analyzed: the use of the IMPACT system for the evaluation of school system in the District of Columbia Public Schools (DCPS) in Washington, the face detection system, and the “writing” of the first scientific text by artificial intelligence. In particular, this work takes into consideration the systematic errors due to the polarization of data with which the machine learning models are trained, the absence of feedback and the problem of minorities who cannot be represented through the use of big data.

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