ACADEMIC INTEGRITY IN THE AGE OF AI: ISSUES AND CHALLENGES

PAPER ID:IJIM/Vol. 10 (VII) November/23-33/4

AUTHOR: Varun Kumar[I] Piyush Kumar Hari[II] Kunal Gaurav[III] Prof. Kunwar Singh[IV]

TITLE : ACADEMIC INTEGRITY IN THE AGE OF AI: ISSUES AND CHALLENGES

ABSTRACT:The use of artificial intelligence (AI) is growing significantly in all areas of life. Due to the ever-changing AI tools and their useful features, everyone is interested in using these tools in their field. Some AI tools are developing very quickly, and the academic community uses these tools for academic writing, raising concerns about quality, reliability, bias and potential inaccuracy. It becomes very difficult for traditional plagiarism detection tools to identify and also differentiate between human written text and artificial intelligence content. Therefore, AI tools will be very useful to get things done very quickly and easily. In this case, the ethical use of artificial intelligence in academic communication needs to be taken into account.

Design/methodology/approach

In particular, this research paper aims to expand the background of artificial intelligence (AI) tools to increase equity in education, with an emphasis on access pressure and the elimination of academic communication to reduce plagiarism. The report also highlights the potential of AI tools to improve efficiency and accuracy in several aspects of academic integrity: plagiarism detection, artificial intelligence essay writing, document search design, and fraud and use in the review process. The document also draws attention to the challenges that artificial intelligence must overcome, as well as other consequences of its use in communication practice.

Originality/value

This study is unique because it identifies and thoroughly explores various applications of artificial intelligence to maintain academic integrity in the field of scholarly communication. Artificial intelligence technology helps identify and prevent academic misconduct by analyzing large amounts of data, identifying patterns and anomalies.

KEYWORDS : Academic Dishonesty, Academic Integrity, Scholarly Communication, Artificial Intelligence, Academic Misconduct, ChatGPT.

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