Steponenaite, Aiste, Barakat, Basel (2023) Plagiarism in AI empowered world. In: International Conference on Human-Computer Interaction. Lecture Notes in Computer Science . ISBN 978-3-031-35896-8. E-ISBN 978-3-031-35897-5. (doi:10.1007/978-3-031-35897-5_31) (KAR id:101173)
|
PDF
Author's Accepted Manuscript
Language: English 
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
|
|
|
Download this file (PDF/665kB) |
Preview |
| Request a format suitable for use with assistive technology e.g. a screenreader | |
| Official URL: https://doi.org/10.1007/978-3-031-35897-5_31 |
|
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.
| Item Type: | Conference or workshop item (Paper) |
|---|---|
| DOI/Identification number: | 10.1007/978-3-031-35897-5_31 |
| Uncontrolled keywords: | artificial intelligence; ChatGPT; plagiarism; education |
| Subjects: |
L Education Q Science |
| Divisions: | Divisions > Division of Natural Sciences > Medway School of Pharmacy |
| Depositing User: | Aiste Steponenaite |
| Date Deposited: | 05 May 2023 12:16 UTC |
| Last Modified: | 21 Sep 2023 13:45 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/101173 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Steponenaite, Aiste.
| Creator's ORCID: |
 https://orcid.org/0000-0002-1988-3419
|
|---|---|
| CReDIT Contributor Roles: |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):
Altmetric
Altmetric
