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
Cites
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Items 101–200 of 243
Creating Accessibility 2.0 with Artificial Intelligence
Kubullek, A.-K., & Dogangün, A. (2023) · Mensch und Computer 2023 · doi:10.1145/3603555.3608541 · Cited by 8
“However, neither self-driving cars nor virtual voice assistants have been able to trigger a lasting hype in society today, as the chatbot ’ChatGPT’ did [8–12, 14, 15, 25].”
BackgroundChatGPT in science and research: How generative AI drives innovation and knowledge development
Madzík, P., Falát, L., Skýpalová, R., Jašušáková, L., & Zimon, D. (2025) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2025.100889 · Cited by 16
Lan, Y., Liu, S., & Chen, H. (2026) · Frontiers in Computer Science · doi:10.3389/fcomp.2026.1756441 · Cited by 7
Kotamjani, S. S., Shirinova, S., Muratova, K., & Sharma, M. (2024) · International Conference on Future Networks and Distributed Systems (ICFNDS) · doi:10.1145/3726122.3726266 · Cited by 5
“Students emphasize the need for rules on using AI and the significance of upholding academic honesty [7., 15.].”
Blatch-Jones, A., Church, H., & Crane, K. (2025) · F1000Research · doi:10.12688/f1000research.160142.1 · Cited by 8
“20,116 In more business focused settings, data leaders are already capitalising on AI, or expecting increased interest and investment in AI technologies, by upskilling their employees in AI/ML, and focusing more on improving data literacy and data readiness for AI in future data strategy plans…”
Bashir, H., & Zhou, R. (2025) · Telematics and Informatics Reports · doi:10.1016/j.teler.2025.100216 · Cited by 5
Al-Otaibi, G. M., Alotaibi, H. M., & Alsalmi, S. S. (2025) · Behavioral Sciences · doi:10.3390/bs15081119 · Cited by 6
“As for providing fabricated information as an example of a quality maxim violation, it has been confirmed by Currie (2023), Garg and Chauhan (2024), and Gravel et al. (2023), who argue that ChatGPT-3.”
Integrating Ethical AI Tools into Educational Practices for Enhancing Academic Integrity
Petingola, M., Zhang, Y., Yan, Y., & Lin, W. (2025) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3719160.3737626 · Cited by 4
The ChatGPT application on quality management: a comprehensive review
Atalan, A. (2025) · Journal of Management Analytics · doi:10.1080/23270012.2025.2484225 · Cited by 15
The Use of Artificial Intelligence in Academic Writing: What is Ethical and What is NotPreprint
Mwita, K., & Mwilongo, N. H. (2025) · Social Science Research Network · doi:10.2139/ssrn.5243488 · Cited by 6
“Artificial intelligence chatbots like ChatGPT are prone to inaccuracies and falsification (Currie, 2023).”
A review of artificial intelligence in brachytherapy
Chen, J., Qiu, R. L. J., Wang, T., Momin, S., & Yang, X. (2025) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.70034 · Cited by 9
“161,162 To mitigate errors in brachytherapy procedures, a second check is performed at various stages between CT simulation and the treatment delivery.”
Generative Artificial Intelligence in Nuclear Medicine Education
Currie, G. M. (2025) · Journal of Nuclear Medicine Technology · doi:10.2967/jnmt.124.268323 · Cited by 5
Self-citationRomano, C. P. R., & Boggio, A. (2024) · Oxford University Press eBooks · doi:10.1093/law/9780197768990.001.0001 · Cited by 9
A Systematic Review of the Impact of ChatGPT on Higher Education
You, S. (2024) · International Journal of Technology-Enhanced Education · doi:10.4018/ijtee.343528 · Cited by 13
Yao, M., Wei, Y., & Liu, H. (2026) · Ethics & Behavior · doi:10.1080/10508422.2025.2549310 · Cited by 6
“Furthermore, AI-driven academic dishonesty undermines the validity of qualifications awarded by academic institutions, potentially lowering the standards of knowledge and scholarship (Currie, 2023).”
Jacobs-Basadien, M., & Pather, S. (2026) · Universal Access in the Information Society · doi:10.1007/s10209-026-01340-9 · Cited by 11
Faculty AI literacy in higher education systems: a systematic review and future-adaptive framework
Wu, Y., & Huang, Y. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2648739 · Cited by 7
“…academic standards (Ahmad et al., 2022; George & Wooden, 2023), to uphold academic integrity and ethical standards in AI-augmented environments (Currie, 2023; Mijwil et al., 2023), and to foster AI-informed scholarly communication and collaboration across disciplinary boundaries (Klein, 2021;…”
Mota, F. L. G., Ferreira, N. C. M. Q. F., Dabić, M., Ferreira, F. A. F., & Santos, M. R. (2026) · Technological forecasting & social change · doi:10.1016/j.techfore.2025.124490 · Cited by 5
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“Current detection tools, including Turnitin and PaperPass, struggle to identify such AI-assisted pseudo-original texts because they mainly rely on string-matching algorithms (Currie, 2023; Wang & Chen, 2024).”
New generative artificial intelligence model: ScholarGPT’s performance on dental avulsion
Kaplan, T. T. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.106080 · Cited by 5
Dilling, M., & Owen, L. (2024) · Journal of Political Science Education · doi:10.1080/15512169.2024.2408767 · Cited by 6
“1 Many voices expressed concerns over AI’s ramifications for the continuous integrity of several academic fields, including politics and IR (Cooper 2023; Currie 2023; Ajevski et al. 2023; University of Wisconsin-Madison 2023; Hershey 2023; Jungherr 2023).”
ChatGPT and Higher Education: A Pathway to Unprecedented Progress
Almahasees, Z. M., Awabdeh, A. A., & Mahmoud, S. (2024) · Journal of Higher Education Theory and Practice · doi:10.33423/jhetp.v24i5.7004 · Cited by 10
“The primary concern associated with using ChatGPT in medicine is the potential for generating inaccurate or deceptive information (Currie, 2023).”
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Atalan, A. (2023) · Social Science Research Network · doi:10.2139/ssrn.4565125 · Cited by 5
Ni, W., & Li, J. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1856854 · Cited by 6
“On the same note, Greitemeyer and Kastenmüller (2023) and Currie (2023) indicate that unequal access also has a bearing on academic integrity behaviours and ethical use.”
Abdelrahman, M., Hu, S., Al-Shamaileh, O., Hammady, R., & Nizamuddin, N. (2026) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-09-2025-0261 · Cited by 3
Currie, G. M., & Bailey, D. L. (2026) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2026.02.002 · Cited by 3
Self-citationNavigating GenAI in Malaysian Universities: Use, Problems, and Challenges
Al-kumaim, N. H., Hassan, S. H., Mohammed, F., & Saleh, A. (2025) · 2025 5th International Conference on Emerging Smart Technologies and Applications (eSmarTA) · doi:10.1109/esmarta66764.2025.11132252 · Cited by 4
Üşen, A., & Küçülmez, Ö. (2025) · Diagnostics · doi:10.3390/diagnostics15121455 · Cited by 4
“While these factors were standardized and held constant in our study to ensure methodological uniformity, their potential to impact the structure, accuracy, and creativity of model outputs has been demonstrated in prior research [40].”
Generative AI for Academic Writing: Case Studies Beyond Simple Chatbot Interactions
Lancaster, T. (2025) · Journal of Academic Writing · doi:10.18552/joaw.v15is1.1067 · Cited by 4
“Other commentators have considered that there can be benefits to using ChatGPT (Currie, 2023; Kalla et al., 2023).”
Experiences with Content Development and Assessment Design in the Era of GenAI
Sharma, A., Shailendra, S., & Kadel, R. (2025) · International Conference on Computer Science, Engineering, and Education (CSEE) · doi:10.1109/csee64583.2025.00008 · Cited by 8
“Despite all the opportunities, this technology also has some challenges, such as over-reliance on technology [4], preserving academic integrity [5] – [7], cognitive bias [6], privacy [8], [9] and lack of regulation [10].”
Anani, G. E., Nyamekye, E., & Baffour-Koduah, D. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/9943540 · Cited by 6
Bernstein, E., Ramsamooj, A., Millar, K. L., & Lum, Z. C. (2025) · JMIR AI · doi:10.2196/68603 · Cited by 3
Beyond the Boundaries of Reality: False Bibliographic Records and References
Neshheret, M. Y. (2024) · Bibliosphere · doi:10.20913/1815-3186-2024-4-63-70 · Cited by 4
The Advent of Artificial Intelligence into Cardiac Surgery: A Systematic Review of Our Understanding
Bhushan, R., & Grover, V. (2024) · Brazilian Journal of Cardiovascular Surgery · doi:10.21470/1678-9741-2023-0308 · Cited by 4
“Such oversight can effectively address malpractices while also promoting language editing and the constructive utilization of AI to elevate research quality [34, 35] .”
BackgroundIntegrating ChatGPT into Education: Exploring its Pedagogical Impact and Potential
Vilema, M. D. I., Rivera, M. P. T., Flores, J. M. C., & Cajo, M. H. (2023) · MIGRATION LETTERS · doi:10.59670/ml.v21is1.6076 · Cited by 2
Bylevskiy, P. (2023) · Философия и культура · doi:10.7256/2454-0757.2023.8.43909 · Cited by 4
A Multidimensional Psychometric Scale for Measuring AI Dependency in Academic Research
Sultana, A., Saleh, M. A. K., Sellami, A., & Ahmad, Z. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2629522 · Cited by 4
“Figure 4 illustrates the potential consequences of AI dependency, pointing to specific unethical behaviors such as plagiarism (Yeo, 2023), fabrication (Currie, 2023), and cheating (Cotton et al., 2024).”
Li, J., Li, J., Qiu, Y., He, S., Zhang, Z., Wang, P., Zhang, H., & Lin, B. (2026) · Digital Health · doi:10.1177/20552076261431438 · Cited by 2
“How about our stance?”: college students’ stance on using artificial intelligence educational tools
Bringula, R. P., Trillanes, A. O., & Catacutan-Bangit, A. E. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13859-0 · Cited by 2
Artificial Intelligence in Education: Positive and Negative Impacts, and Practical Limitations
Kocabıyık, E. (2025) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2025.v07i06.60011 · Cited by 3
“For instance, if children from low-income families do not have access to the same AI tools and resources as their more affluent peers, existing inequities may be further exacerbated (Currie, 2023; Rauf, 2020).”
Currie, G., Hewis, J., & Wheat, J. (2025) · Journal of Further and Higher Education · doi:10.1080/0309877x.2025.2528788 · Cited by 2
“There is also potential for generative AI to reinforce or amplify bias in the training set (Ali et al. 2024; Cevik et al. 2023; Currie 2023) which reflects, in part, implicit historical and institutionalised bias.”
InfluentialSelf-citationSolar radiation estimation using an AI-driven empirical model: Calibration and evaluation
Ekici, C. (2025) · Case Studies in Thermal Engineering · doi:10.1016/j.csite.2025.107080 · Cited by 2
Generative AI in Otolaryngology Residency Personal Statement Writing: A Mixed‐Methods Analysis
Wihlidal, J. G. J., Wolter, N. E., Propst, E. J., Lin, V., Au, M., Amin, S. N., & Siu, J. (2025) · The Laryngoscope · doi:10.1002/lary.32188 · Cited by 1
“There is ongoing debate surrounding the academic integrity of using AI-generated content throughout its potential uses in academia [13–18].”
ChatGPT in Academic Writing: A Boon or a Bane?
Abbas, M. S. (2025) · Journal of Electronic & Information Systems · doi:10.30564/jeis.v6i2.8491 · Cited by 3
Evolution of plagiarism processes in online graduate nursing programs.
Bloompott, K., Grugan, A. S., Borton, R., & Smith, K. (2025) · Journal of Professional Nursing · doi:10.1016/j.profnurs.2025.03.007 · Cited by 3
Sharma, A., & Bauman, A. (2025) · Organizational Behavior Teaching Review · doi:10.1177/10525629251318684 · Cited by 3
“Unlike tools that primarily enhanced information access or streamlined processes, GenAI creates original content autonomously, fundamentally altering how students engage with learning (Currie, 2023).”
Luciano, R. G. (2024) · International Journal of Learning Teaching and Educational Research · doi:10.26803/ijlter.23.12.5 · Cited by 6
“Reliance on AI-generated solutions may undermine independent problem-solving skills and critical thinking abilities (Currie, 2023).”
Perspectives on the use of ChatGPT in academic publications
Kardeş, G., & Oran, N. T. (2024) · Science and Public Policy · doi:10.1093/scipol/scae079 · Cited by 4
The Impact of AIGC on Modern Education: Transforming Learning and Teaching Methods
Cheng, Y., & Wang, T. (2024) · International Conference on Intelligent Education and Intelligent Research (IEIR) · doi:10.1109/ieir62538.2024.10959761 · Cited by 2
“On the other hand, concerns have been raised about its potential for misuse [8], the spread of misinfor-mation [9], academic misconduct [10] [11] , and ethical issues [12] [13], given its ability to effortlessly generate seemingly authentic information.”
Suitability of ChatGPT as a Source of Patient Information for Screening Mammography
Spuur, K. M., Currie, G. M., Al‐Mousa, D. S., & Pape, R. (2024) · Health Promotion Practice · doi:10.1177/15248399241285060 · Cited by 5
“The errors included a variety of previously defined ChatGPT learning inaccuracies (Currie, 2023), including “hallucination” (incorrect information presented as fact by the chatbot), and content that is plausible but incorrect upon checking.”
Self-citationThe Potential of GPT in Education: Opportunities for Students’ Feedback
Ningsih, W., & Akhyar, Y. (2024) · Buletin Poltanesa · doi:10.51967/tanesa.v25i1.3043 · Cited by 3
“The introduction of computers in classrooms brought about a significant change, adding a new aspect to the educational environment (Currie, 2023).”
BackgroundFarizi, Z. A., Sahlan, S., Prasetyo, E., Fitriani, N., Laleng, E. M., Tiar, H. H., & Anwar, Z. (2024) · Berkala Ilmiah Pendidikan Fisika · doi:10.20527/bipf.v12i1.17603
“ChatGPT has made significant contributions in various sectors, including the fields of medicine, tourism, business, and, not least, education (Ali et al., 2023; Currie, 2023; Hunter et al., 2023; Koc et al., 2023).”
BackgroundChatGPT and Corporations of Mega-journals Jeopardize the Norms That Underpin Academic Publishing
Rahimi, F., & Abadi, A. T. B. (2024) · Archives of Iranian medicine · doi:10.34172/aim.2024.17 · Cited by 3
Stawicki, S. P., Martinez-Baladejo, M. T., & Ng-Pellegrino, A. (2023) · International Journal of Academic Medicine · doi:10.4103/ijam.ijam_63_23 · Cited by 6
Towards Detecting AI-Generated Text within Human-AI Collaborative Hybrid Texts
Zeng, Z., Liu, S., Sha, L., Li, Z., Yang, K.-X., Liu, S., Gašević, D., & Chen, G.-L. (2024) · arXiv.org · doi:10.48550/arxiv.2403.03506 · Cited by 3
“They emphasize that over-reliance on ChatGPT could hinder the development of students’ writing and critical thinking skills [Ma et al. , 2023; Mitchell et al. , 2023] and, in the worst cases, lead to breaches of academic integrity [Currie, 2023; Sun and Hoelscher, 2023].”
BackgroundYang, Z., Wider, W., Wu, C., Jamil, N. A., Jiang, L., Ma, R., Peng, B., Bhatta, D. D., & Tangkiris, S. (2026) · Cogent Education · doi:10.1080/2331186x.2026.2677267 · Cited by 2
Pathak, J. L., Zhang, K., Jiang, H., Zhang, Y., Zhang, W., Wang, H., Mo, Y., Liu, F., Tian, Z., & Lihong, W. U. (2026) · BMC Medical Ethics · doi:10.1186/s12910-026-01415-5 · Cited by 1
“…(e.g., humanities, engineering, social sciences) may operate under different normative pressures, incentive structures, methodological vulnerabilities (e.g., reliance on textual argument rather than reproducible experiments), and cultural understandings of authorship and plagiarism [10, 18].”
Generative AI in Educational Research: Opportunities, Integrity Risks, Ethical Challenges
Rahmawati, K., Suciptaningsih, O. A., & Anggraini, A. E. (2026) · Journal of Innovation and Research in Primary Education · doi:10.56916/jirpe.v5i1.3106 · Cited by 2
“The most frequently identified risks are automated plagiarism, scientific ghostwriting, and data distortion (Cotton et al., 2024; Currie, 2023) Several studies also reveal that most students do not understand the ethical boundaries of AI use, so campus policies should emphasize an educational…”
An umbrella review encompassing 42 systematic reviews on medical applications of ChatGPT
Ramadan, S., Calvieri, C., Gracia-Ramos, A. E., FERRARI, G. R., Pepe, M., & BIONDI-ZOCCAI, G. (2026) · Minerva Medica · doi:10.23736/s0026-4806.25.09664-8 · Cited by 2
Gatchalian, J. A.-D., & Quinto, E. (2025) · 2025 2nd International Conference on Artificial Intelligence and Teacher Education (ICAITE) · doi:10.1109/icaite68636.2025.11442404 · Cited by 2
“This conflict likely exists because graduate school is all about developing deep, critical, and independent thinking skills that teachers worry about, could be simply handed off to a computer program [15].”
Hrnjić, A., Pilav-Velić, A., Hadžiahmetović-Milišić, N., & Dedović, L. (2025) · South East European Journal of Economics and Business · doi:10.2478/jeb-2025-0020 · Cited by 2
Ética de la IA generativa en la formación legal universitaria
Salcedo, E. D. R. R., Hurtado, D. J. M., Sáez, Y. T. M., Vaca, K. A. L., Alvarado, M. A. M., Rodríguez, M. C. E., Lagua, A. D. G., Chiguano, M. A. C., & Paredes, B. H. Z. (2025) · Prohominum · doi:10.47606/acven/ph0375 · Cited by 4
Zou, Q.-J., & Zhao, S.-K. (2025) · Studies in Continuing Education · doi:10.1080/0158037x.2025.2535565 · Cited by 2
ERKILIÇ, E., & Çifçi, İ. (2025) · Journal of Multidisciplinary Academic Tourism · doi:10.31822/jomat.2025-10-1-111 · Cited by 1
Impact of Triage Nurse Training on Accuracy and Efficiency: A Systematic Review-Based Study
Ammar, M. A. A., Dallak, Z. M., Alyanbaawi, L., Alsaedi, A., al Rashidi, H. M., Alshahrani, M., Aljebari, B. J., Alshammari, M., Almotairi, S. M., & Sanhani, S. J. (2024) · Evolutionary Studies in Imaginative Culture · doi:10.70082/esiculture.vi.1267 · Cited by 2
“Triage methods might be standardized with the use of standardized training programs, which would result in more accurate and consistent patient assessments (Currie, 2023).”
MethodDeveloping and Validating the Competency Profile for Teaching and Learning Research Integrity
Selan, J., & Metljak, M. (2023) · Center for Educational Policy Studies Journal · doi:10.26529/cepsj.1618 · Cited by 1
“The relationship between AI and research integrity has become one of the most active and vital areas of discussion on research integrity in 2023, with many scholarly articles and books already published (Currie, 2023; Dawson, 2023; Eke, 2023; Olatunde Oduoye et al., 2023), and thus the inclusion of this area also requ…”
BackgroundInfluentialUnveiling Spectral Mechanisms in Training-Free LLM Text DetectionPreprint
Luo, H., Meng, X., Zhang, W., Zou, W., Lou, S., Jiang, X., Lin, C., & Zhang, Y. (2026) · arXiv (Cornell University) · doi:10.48550/arxiv.2608.25944 · Cited by 1
“This ambiguity creates risks such as misinformation (Opdahl et al., 2023; Fang et al., 2024) and academic plagia-rism (Else, 2023; Currie, 2023).”
Beyond AI-Generated Text: Strengthening Academic Integrity and Critical Thinking in Higher Education
da Silva, R. F. (2026) · Information · doi:10.3390/info17080780 · Cited by 2
Pan, Y.-L., Yu, P.-F., Yin, X.-L., Hong-sheng, Y., Long, X., & Tong, Q. (2026) · Educational Technology Research and Development · doi:10.1007/s11423-026-10659-2 · Cited by 1
Karaçay, P., Yaşar, Ö., Göktaş, P., & Küçükkaya, A. (2026) · BMC Nursing · doi:10.1186/s12912-026-04832-4 · Cited by 1
Miara, L., Benomar, M. E. M., Benjelloun, M., Bouhdidi, J. E., & Blilat, A. (2026) · Big Data and Cognitive Computing · doi:10.3390/bdcc10060174 · Cited by 1
Currie, G., & Hewis, J. (2026) · Journal of Medical Imaging and Radiation Sciences · doi:10.1016/j.jmir.2026.102447 · Cited by 1
Self-citationMachado, D. D. J. S., Pierri, C. R. D., Filho, A. C. D. S., Costa, F. D. F., Lemos, N. A. D. M., Perico, C. P., dos Santos, L. C., Kann, M. G., Pedrosa, F. O., & Raittz, R. T. (2026) · Journal of the Brazilian Computer Society · doi:10.5753/jbcs.2026.6198
“Thus, text vectorization is not merely a preprocessing step, but a central research problem that underpins efforts to achieve transparency, control, and trustworthy inference in Natural Language Processing (NLP) systems [Currie, 2023].”
Patel, P., Hassan, B., Yasin, A., Wasiq, M. F., Rani, M., Niaz, S., & Naveed, K. (2026) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon67543.2026.11574348
“Issues regarding academic integrity have surfaced as Bin-Nashwan et al. [21] and Currie [22] identify generative AI risks as plagiarism, ghost writing, and fabricating content that raises academic integrity arguments.”
Day, M. J. (2026) · Journal of ICT and Education · doi:10.69739/jicte.v1i1.1626 · Cited by 4
Yang, Y.-J., Wang, C.-C., Chen, Y.-H., & Chen, H.-M. (2025) · Journal of Education and e-Learning Research · doi:10.20448/jeelr.v12i4.7862 · Cited by 1
“Currie (2023) believes that using generative AI to write coursework is an act of plagiarism.”
Autistic traits, gender and age interact to influence attitudes towards Artificial Intelligence
Hechler, F. C., Tuomainen, O., & Caruana, N. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100847 · Cited by 1
İPEK, A. R., & İpek, S. E. (2025) · Sanat Yazıları · doi:10.61742/sanatyazilari.1761815 · Cited by 2
Avaliação da Aprendizagem em Programação com IA Generativa na Educação Profissional e Tecnológica
Gomes, P. C. R., & Hübner, J. F. (2025) · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação · doi:10.5753/sbie.2025.12395 · Cited by 1
A Study on the Application of AI Tutors Integrating Multimodal Data in Predicting Student Behavior
Shao, Y., & Gong, B. (2025) · 2025 International Conference on IOT, Data Science and Advanced Computing (IDSAC) · doi:10.1109/idsac65763.2025.11170151 · Cited by 1
“This system architecture possesses strong scalability and adaptability to educational management[16].”
Taka, T. M., Collins, C. E., Miner, A. G., Overfield, I., Shin, D., Seo, L. J., & Danisa, O. (2025) · European Spine Journal · doi:10.1007/s00586-025-09052-z · Cited by 1
“These ethical concerns presented by Currie can be applied to any instance in which ChatGPT is relied upon by clinicians to reach a diagnosis or offer treat-ment options [26].”
Perceptions of Students and Teachers about Hindrances of ChatGPT in Foreign Language Education
Küçük, T. (2025) · Arab World English Journal · doi:10.24093/awej/ai.12
“Many ethical problems have arisen with using artificial intelligence applications in education, and some scholars have researched this issue in depth (Mijwil et al., 2023; Currie, 2023).”
Okafor, P.-E., Udosen, A. N., & Igboanugo, B. I. (2025) · AI and Ethics · doi:10.1007/s43681-025-00714-8 · Cited by 1
“The use of AI-driven tools in the academic community is a controversial issue regarding academic integrity and misconduct [32, 71 , 72 ].”
Artificial Intelligence and Academic Integrity: Legislate or Educate?
Wan, G., Grassi, M. H., Golden, T., Barnes, T. L., Kahveci, M., Wan, X., & Colacchio, B. M. (2025) · Journal of Scholarly Publishing · doi:10.3138/jsp-2024-1118 · Cited by 4
Adapting Program Assessment for the Age of Generative AI
VERDICCHIO, M. P. (2025) · IEEE World Engineering Education Conference (EDUNINE) · doi:10.1109/edunine62377.2025.10981409 · Cited by 3
“Similarly, Currie recommends focusing on application, critical thinking, and original content to make the use of generative AI less tempting for students [11], and Dwividi et al. recommend a focus on “assistive“ v. “substitutive” AI [12].”
Iskandar, Latief, S. A., Muhsin, M. A., & Hasanah, N. I. (2024) · Didaktika Jurnal Kependidikan · doi:10.58230/27454312.1201
“The second study, conducted by (Currie, 2023), highlights the importance of employing ChatGPT as a tool to provide automated feedback on students' academic writing.”
From Data Analysis to Creative Arts: The Ubiquity and Impact of Artificial Intelligence in Academia
Lainjo, B. (2024) · International Journal of Education Teaching and Social Sciences · doi:10.47747/ijets.v4i4.2244 · Cited by 1
Ņikadimovs, O., & Vēvere, V. (2024) · Environment Technology Resources Proceedings of the International Scientific and Practical Conference · doi:10.17770/etr2024vol2.8015 · Cited by 5
“These technological limitations provide additional restrictions that limit the usefulness of AI to the users by failing to produce results that meet the required standard [19].”
BackgroundKammies, C., Archer, E., Engel-Hills, P. C., & Volschenk, M. (2024) · JMIR Research Protocols · doi:10.2196/60431 · Cited by 2
ChatGPT risk of fabrication in literature searches. Comment on Br J Anaesth 2023; 131: e29-e30.
Arrivé, L., Minssen, L., & Ali, A. (2023) · British Journal of Anaesthesia · doi:10.1016/j.bja.2023.07.024 · Cited by 1
Who wrote this? An EAP think-aloud study on AI detection
Teraif, Z. (2026) · Language learning & technology · doi:10.64152/10125/73709 · Cited by 2
“…only about fairness but also about preserving what academic writing represents within HE (Cotton et al., 2023; Eke, 2023; Bin-Nashwan et al., 2023; Currie, 2023; Şık Keser & Razı, 2024), especially in EAP programmes, because academic writing is both a core skill and a direct measure of achieving…”
Tudy, R. A., Chin, C. K., Gabales, B., & Tudy, I. (2025) · The Palawan Scientist · doi:10.69721/tps.j.2025.17.2.02 · Cited by 4
“However, with the use of these AI tools, like ChatGPT, many are worried about their negative effect on academic integrity (Currie et al. 2023; Gammoh 2024; Gill et al. 2024) and about questions of accuracy (Hasanein and Sobaih 2023; Suárez et al. 2024).”
Le-Dinh, T., Tan, T. B., & Nguyen, A. T. T. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103674
Using generative AI to build discovery interview capacity: Lessons from a Canadian college
Seeland, J. (2026) · Canadian Perspectives on Academic Integrity · doi:10.55016/cpai.v9i4.84394
“…ability of GenAI to personalize learning experiences, generate realistic scenarios, and facilitate conversation-based activities that adapt to individual learners (Atlas, 2023; Chang & Kidman, 2023; Currie, 2023; Mollick & Mollick, 2024; Scherr et al., 2023; Violato et al., 2023; Xie et al., 2023).”
Arias, L. M. D., Ospina, D. A., & Ríos, M. A. L. (2026) · Archivos de Medicina (Manizales) · doi:10.30554/archmed.26.2.5667.2026
Yualita, P., Damaianti, V. S., Mulyati, Y., Sastromiharjo, A., & Aditya, F. (2026) · Indonesian Journal on Learning and Advanced Education (IJOLAE) · doi:10.23917/ijolae.v8i3.20393
“Rudolph et al. (2023) and Currie (2023) provide an overview of the opportunities and challenges connected with ChatGPT and academic integrity.”
Baoyi, W., & Khan, F. U. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1881032
“Theoretically, this study is situated within the academic integrity literature (e.g., Chaudhry and Kazim, 2022; Currie, 2023), which conceptualizes integrity in learning in terms of the authenticity of demonstrated work, the fairness of assessment, and the trust that underpins relationships among…”
Zagkos, C., Kyridis, A., Kamarianos, I., Tourtouras, C. D., Ladias, G., & Kyridi, A. (2026) · Journal of Digital Educational Technology · doi:10.29333/jdet/19285
“Universities worldwide have consistently expressed concern over academic misconduct, and the emergence of generative AI has intensified this issue, particularly through practices such as plagiarism, cheating, fabrication, and the gaining of an unfair advantage (Currie, 2023; Song, 2024).”
Anagnostopoulos-King, F. V. (2026) · The Journal of the American Dental Association (1939) · doi:10.1016/j.adaj.2026.07.016
Ethical Use of Artificial Intelligence in Research Publication: A Scoping Review
Dakhesh, S., Khademizadeh, S., Atlasi, R., Zareivenovel, M., & Ouchi, A. (2026) · International Journal of Health Policy and Management · doi:10.34172/ijhpm.9759
“…through non-transparent paraphrasing of content 66,69 - Blurring of boundaries between human-generated and AI-generated content due to the limited effectiveness of current detection tools 54,69 - Potential rise in scientific misconduct among researchers as AI tools continue to advance 58,66 3.”
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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