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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Plagiarism in AI empowered world

Steponenaite, Aiste and Barakat, Basel (2023) Plagiarism in AI empowered world. In: 25TH INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION, 23-28 July, Copenhagen, Denmark. (Submitted)

Item Type: Conference or Workshop Item (Paper)

Abstract

The use of Artificial Intelligence (AI) has revolutionized many aspects of education and research, but it has also introduced new challenges, including the problem of students using AI to create assignments that cannot be detected by plagiarism checkers. The proliferation of AI tools that can generate original sounding text has made it easier for students to pass off the work of others as their own, making it more difficult for educators to identify and prevent plagiarism. This paper identifies the problem of plagiarism in the AI empowered world and considers potential solutions for addressing this issue.

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More Information

Uncontrolled Keywords: Artificial Intelligence, ChatGPT, Plagiarism, Education
Depositing User: Basel Barakat

Identifiers

Item ID: 15622
URI: http://sure.sunderland.ac.uk/id/eprint/15622
Official URL: https://2023.hci.international/index.html

Users with ORCIDS

ORCID for Aiste Steponenaite: ORCID iD orcid.org/0000-0002-1988-3419
ORCID for Basel Barakat: ORCID iD orcid.org/0000-0001-9126-7613

Catalogue record

Date Deposited: 05 May 2023 11:49
Last Modified: 11 Jul 2023 08:02

Contributors

Author: Aiste Steponenaite ORCID iD
Author: Basel Barakat ORCID iD

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing > Artificial Intelligence
Computing
Education
Sciences

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