The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy?
Abstract
Academic integrity in both higher education and scientific writing has been challenged by developments in artificial intelligence. The limitations associated with algorithms have been largely overcome by the recently released ChatGPT; a chatbot powered by GPT-3.5 capable of producing accurate and human-like responses to questions in real-time. Despite the potential benefits, ChatGPT confronts significant limitations to its usefulness in nuclear medicine and radiology. Most notably, ChatGPT is prone to errors and fabrication of information which poses a risk to professionalism, ethics and integrity. These limitations simultaneously undermine the value of ChatGPT to the user by not producing outcomes at the expected standard. Nonetheless, there are a number of exciting applications of ChatGPT in nuclear medicine across education, clinical and research sectors. Assimilation of ChatGPT into practice requires redefining of norms, and re-engineering of information expectations.
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In the citing paper
“Greitemeyer and Kastenmüller (2023) and Currie (2023) indicate that unequal access also has a bearing on academic integrity behaviours and ethical use.”
From Mapping the impact of generative AI in higher education: A scoping review of psychological and equity dimensions. (2026) · cites this paper as Currie (2023)
In the citing paper
“While generative AI has the potential to enhance effectiveness and efficiency in academic endeavors, it also presents opportunities for misuse in the form of academic misconduct and plagiarism (Bin-Nashwan et al., 2023;Currie, 2023).”
From GenAI et al.: Cocreation, Authorship, Ownership, Academic Ethics and Integrity in a Time of Generative AI (2024) · cites this paper as Currie, 2023
In the citing paper
“Hallucinations have been encountered in various domains, including the content itself and the cited references, including their bibliographic identifiers [12,27-29].”
From Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study (2024) · cites this paper as [28]
In the citing paper
“Additionally, AI chatbots encounter a hallucination/fabrication phenomenon recognized early in their use in health care.”
From Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study (2024) · cites this paper as [28]
Citations
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Cited by
Sorted by citations
Zhai, C., Wibowo, S., & Li, L. D. (2024) · Smart Learning Environments · doi:10.1186/s40561-024-00316-7 · Cited by 1,567
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
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“Currie (2023) [70] Focuses on the impact of ChatGPT on academic integrity in nuclear medicine and radiology, acknowledging its potential while highlighting limitations, such as errors and fabrications.”
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BackgroundMethodA survey on LLM-based multi-agent systems: Workflow, infrastructure, and challenges
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Metadata
- Authors
- Currie, G. M.
- Affiliations
- Charles Sturt University (AU)
- Corresponding author
- Currie, Geoffrey M.
- ORCID
- Currie, Geoffrey M.
- Venue
- Seminars in Nuclear Medicine
- Publisher
- Elsevier BV
- Published
- 2023-09
- Volume
- 53
- Issue
- 5
- Pages
- 719-730
- ISSN
- 0001-2998 (ISSN-L)
- OpenAlex
- W4377234252
- Cited by
- 283
- References
- 0
- Citations by year
- 2026: 54 · 2025: 88 · 2024: 106 · 2023: 35
- FWCI
- 3.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Seminars in Nuclear Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- ChatGPT, academic integrity, artificial intelligence, GPT-3.5, large language models, nuclear medicine education, radiology, scientific writing, professional ethics, clinical implementation of AI, artificial intelligence in research
- MeSH terms
- Artificial Intelligence, Humans, Nuclear Medicine
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