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Journal : Proceeding International Conference on Education

Misinterpretation Of Artificial Intelligence In Arabic Language Sulaikho, Siti; Munir, Muhammad Syahrul
Proceeding International Conference on Education Volume 01, Agustus Tahun 2023: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

Artificial Intelligence is a convenience and problem for students and educators. The purpose of the study was to provide an overview of Artificial Intelligence misinterpretation of Arabic language. This research is descriptive qualitative. The primary source is ChatGPT and the secondary source is Arabic books. The data collection of this research is document and data analysis by means of content analysis. The results showed that Artificial Intelligence can correctly describe theories related to Arabic. But in terms of interpretation, many errors were found. This finding is different from how Artificial Intelligence can interpret other languages more accurately. Therefore, the study of Arabic sourced from Arabic linguists remains the main source. This is due to the unique characteristics of Arabic that are difficult for Artificial Intelligence to detect. The results of this study can be used as a consideration of the use of Artificial Intelligence as a reference in explaining Arabic.
Critical Analysis of Chatsonic Accuracy in the Interpretation of Maf'ūl Bih Rules: Comparative Study with the Jāmi' ad-Durus al-Arabiyyah Book: Analisis Kritis Terhadap Akurasi Chatsonic dalam Interpretasi Kaidah Maf’ūl Bih: Studi Perbandingan dengan Kitab Jāmi’ ad-Durus al-Arabiyyah Sanaya, Dini; Sulaikho, Siti
Proceeding International Conference on Education Volume 02, Agustus Tahun 2024: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

The application of Artificial Intelligence technology has demonstrated significant potential in various fields, including Arabic language education. Despite the growing popularity of AI chatbots, studies on the accuracy of the content they provide remain limited. This research aims to assess the accuracy of the interpretation of Arabic syntactic rules (naḥwu), particularly the chapter on maf’ūl bih, as presented by Chatsonic, and to compare it with the explanation in the book Jāmi’ ad-Durus al-Arabiyyah by Muṣṭafā al-Galāyainī. This qualitative research employs a descriptive approach. Data collection was conducted through literature review, and data analysis followed the qualitative content analysis procedure as outlined by Klaus Krippendorff. The findings indicate that some theories regarding maf’ūl bih presented by Chatsonic align with Jāmi’ ad-Durus al-Arabiyyah, particularly in terms of definition, examples of maf’ūl bih in sentences, and certain general rules regarding the prioritization (taqdīm) and delay (ta’khīr) of maf’ūl bih. However, on more complex rules, such as the legal judgments concerning maf’ūl bih, its classifications, and the omission of maf’ūl bih from verbs of perception (af’ālul qulūb), inaccuracies were found. Additionally, discrepancies were identified in several aspects of taqdīm and ta’khīr, including a contradictory statement about the obligatory precedence of the subject (fā’il) over maf’ūl bih. These findings are expected to provide deeper insights into the effectiveness and accuracy of Chatsonic in Arabic syntactic rules, particularly in understanding the concept of maf’ūl bih.
Comparative Analysis of The Laws of Ṭahārah Between Chatsonic Artificial Intelligence and The Classical Islamic Text Fatḥ Al-Qarīb Qoyyimah, Maysarotud Dinul; Sulaikho, Siti
Proceeding International Conference on Education Volume 02, Agustus Tahun 2024: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

Chatsonic is an advanced Artificial Intelligence technology that has been widely utilized by students and educators to facilitate learning processes. This study aims to evaluate the accuracy of Chatsonic in interpreting the concept of Ṭahārah based on the text Fatḥ al-Qarīb, analysing its strengths and weaknesses. This research employs a qualitative method with a descriptive approach. Data were collected from documents and analysed using the qualitative content analysis procedure developed by Philipp Mayring. The results show that while Chatsonic can explain certain aspects of Ṭahārah, there are several inaccuracies in its interpretation. For example, Chatsonic defines muṭlaq water as "pure water without any salt content", musyammas water as "water mixed with soil or dust", and musta’mal water as "water that can be reused for ablution". These definitions differ from the interpretation in Fatḥ al-Qarīb, where muṭlaq water is described as pure and purifying, without prohibition for use, musyammas water is pure and purifying but disliked for ritual purification, and musta’mal water is pure but cannot purify as it has already been used for ablution. This study provides further insight into the limitations of using AI technologies like Chatsonic to understand Islamic jurisprudence concepts, particularly in the context of Ṭahārah.