Forming Policies for Ethical AI Use in Academic Writing

Easy access to generative AI has raised concerns about students’ engaging in academic dishonesty in their writing. AI in writing where a text written by an AI text generating software is used and submitted for dissemination or evaluation is presented as the students’ own work can be considered to be plagiarism. Students in higher education institutions can be penalized if AI text is detected in their examinations. However, as AI text generators can also be used to support and improve a student’s writing, there is a question as to what extent and what types of usage of AI text generators can be considered as plagiarism. Thus, it would be of great advantage to students if their respective higher education institutions can have clear guidelines and policies on AI use in students’ academic writing. This literature survey analyses the policies and instructions with regard to AI use in writing developed by the topmost universities in four English as a first language countries, namely Melbourne (Australia), Auckland (New Zealand), Cambridge (UK) and Princeton (USA). The literature analysis particularly focused on the two themes of (1) instructions to academic staff and (2) instructors to students. Significant instructions have been tabulated and discussed. They hold potential value as guidelines for consideration when formulating and improving policies for local state and non-state higher educational institutes. Keywords: AI text generators; ChatGPT; Plagiarism; Higher education policies

Authors

Institutions

Publication Details

Journal
˜The œproceedings of sliit international conference on advancements in science and humanities
Published
2024-12-04
DOI
https://doi.org/10.54389/ooaw2024
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
1.08
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forming Policies for Ethical AI Use in Academic Writing

Zulfkar Hussain
2 citations
˜The œproceedings of sliit international conference on advancements in science and humanities
Ethics and Social Impacts of AI
1.08
article

Forming Policies for Ethical AI Use in Academic Writing

Zulfkar Hussain
article en
2 citations

Abstract

Easy access to generative AI has raised concerns about students’ engaging in academic dishonesty in their writing. AI in writing where a text written by an AI text generating software is used and submitted for dissemination or evaluation is presented as the students’ own work can be considered to be plagiarism. Students in higher education institutions can be penalized if AI text is detected in their examinations. However, as AI text generators can also be used to support and improve a student’s writing, there is a question as to what extent and what types of usage of AI text generators can be considered as plagiarism. Thus, it would be of great advantage to students if their respective higher education institutions can have clear guidelines and policies on AI use in students’ academic writing. This literature survey analyses the policies and instructions with regard to AI use in writing developed by the topmost universities in four English as a first language countries, namely Melbourne (Australia), Auckland (New Zealand), Cambridge (UK) and Princeton (USA). The literature analysis particularly focused on the two themes of (1) instructions to academic staff and (2) instructors to students. Significant instructions have been tabulated and discussed. They hold potential value as guidelines for consideration when formulating and improving policies for local state and non-state higher educational institutes. Keywords: AI text generators; ChatGPT; Plagiarism; Higher education policies

˜The œproceedings of sliit international conference on advancements in science and humanities
Ação Educativa (BR)
Openalex Percentile: Top 25%
Ethics and Social Impacts of AI
1.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.