Publication Ethics in the Era of Artificial Intelligence

Journal of Korean Medical Science, Journal Year: 2024, Volume and Issue: 39(33)

Published: Jan. 1, 2024

The application of new technologies, such as artificial intelligence (AI), to science affects the way and methodology in which research is conducted. While responsible use AI brings many innovations benefits humanity, its unethical poses a serious threat scientific integrity literature. Even absence malicious use, Chatbot output itself, software based on AI, carries risk containing biases, distortions, irrelevancies, misrepresentations plagiarism. Therefore, complex algorithms raises concerns about bias, transparency accountability, requiring development ethical rules protect integrity. Unfortunately, writing codes cannot keep up with pace implementation technology. main purpose this narrative review inform readers, authors, reviewers editors approaches publication ethics era AI. It specifically focuses tips how disclose your manuscript, avoid publishing entirely AI-generated text, current standards for retraction.

Language: Английский

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Emerging Dynamics of ChatGPT in Academia: A Scoping Review

Journal of University Teaching and Learning Practice, Journal Year: 2024, Volume and Issue: 21(1)

Published: March 12, 2024

Large Language Models (LLMs) and Generative AI tools are revolutionising every aspect of academia, including medical, physical, STEM education. They have also proved their mettle in blended learning systems distance programs by improving educational sustainability, accessibility, engagement. Through this scoping review, we aim to provide an essential overview the state art ChatGPT from standpoint exploring its development, analysing current trajectory, emerging dynamics active research responsible for defining regulations protocols. The PRISMA benchmarking was used on Scopus dataset, with 109 papers 2022 2023. Interactive results bibliographic maps generated using Bibliometrix library R-Studio. findings aligned questions represent exceptional growth scientific production. Furthermore, relevant avenues publications, leading countries, institutions area listed. thematic trends analysis anticipated that artificial intelligence generative will substantially influence nearly dimension coming years. review identified possible advantages disadvantages adopting higher education analysed deployment, considering ethical issues. concludes that, apart ChatGPT, other large language models transforming However, concerns implications highlight vital issues further ensure AI's use.

Language: Английский

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Identification of ChatGPT-Generated Abstracts Within Shoulder and Elbow Surgery Poses a Challenge for Reviewers

Arthroscopy The Journal of Arthroscopic and Related Surgery, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Language: Английский

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Research ethics and issues regarding the use of ChatGPT-like artificial intelligence platforms by authors and reviewers: a narrative review

Science Editing, Journal Year: 2024, Volume and Issue: 11(2), P. 96 - 106

Published: Aug. 20, 2024

While generative artificial intelligence (AI) technology has become increasingly competitive since OpenAI introduced ChatGPT, its widespread use poses significant ethical challenges in research. Excessive reliance on tools like ChatGPT may intensify concerns scholarly articles. Therefore, this article aims to provide a comprehensive narrative review of the issues associated with using AI academic writing and inform researchers current trends. Our methodology involved detailed examination literature related research We conducted searches major databases identify additional relevant articles cited literature, from which we collected analyzed papers. identified categorized into problems faced by authors nonacademic platforms detection acceptance AI-generated content reviewers editors. explored eight specific highlighted thorough five key topics ethics. Given that often do not disclose their training data sources, there is substantial risk unattributed plagiarism. must verify accuracy authenticity before incorporating it article, ensuring adherence principles integrity ethics, including avoidance fabrication, falsification,

Language: Английский

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Spontaneous use of Generative Artificial Intelligence and influence on collaborative learner writing

Alsic, Journal Year: 2025, Volume and Issue: 1(28)

Published: Jan. 1, 2025

The field of education and language learning has been fundamentally impacted by Generative Artificial Intelligence (GenAI) especially ChatGPT in the last two years. This study examines AI teaching learning, investigates influence GenAI on learners’ collaborative writing English as an additional (Lx). A dataset 190 written assignments groups participants enrolled a third-year undergraduate degree France was extracted analysed with tools including Python, Excel AntConc. Findings reveal 40% openly declaring use for their assignments, though subsequent AI-detection suggests figure is substantially higher. We explore number features texts, particularly high occurrence present participle clauses work, which seems to be characteristic AI-generated texts. Instead simply focusing correcting texts or ethical ramifications using such tools, teachers are invited reflect sociolinguistic aspects that should considered during assessments.

Language: Английский

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Artificial Intelligence in Personal Statements Within Orthopaedic Surgery Residency Applications

Journal of the American Academy of Orthopaedic Surgeons, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Purpose: Artificial intelligence (AI) has been increasingly studied within medical education and clinical practice. At present, it remains uncertain if AI is being used to write personal statements (PSs) for orthopaedic surgery residency applications. Our purpose was analyze PS that were submitted our institution determine the rate of utilization these texts. Methods: Four groups created comparison: 100 before release ChatGTP (PRE-PS), after Chat Generative Pre-Trained Transformers introduction (POST-PS), 10 AI-generated (AI-PS), hybrid (H-PS), which contained both human-generated text. For each four groups, detection software (GPT-Zero) quantify percentage text, “mixed” In addition, provided level confidence (highly confident, moderately uncertain) with respect “final verdict” versus Results: The text in PRE-PS, POST-PS, H-PS, AI-PS 94%, 93%, 28%, 0% respectively. All 200 (100%) program had a final verdict “human” >90%. By contrast, all (H-PS groups) “AI.” Verdict group 100%. Conclusion: Orthopaedic applicants do not appear, at be using create included their (GPTZero) appears able accurately detect PSs Considering increasing role development software, future investigations should endeavor explore results change over time. Similar journals, guidelines established pertain use on postgraduate training Level Evidence: V—Nonclinical.

Language: Английский

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Authors must follow the editorial guidelines on the use of large language models in review papers

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: March 29, 2025

Language: Английский

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Identification of dental related ChatGPT generated abstracts by senior and young academicians versus artificial intelligence detectors and a similarity detector

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 2, 2025

Several researchers have investigated the consequences of using ChatGPT in education industry. Their findings raised doubts regarding probable effects that may on academia. As such, present study aimed to assess ability three methods, namely: (1) academicians (senior and young), (2) AI detectors (GPT-2 output detector, Writefull GPT GPTZero) (3) one plagiarism differentiate between human- ChatGPT-written abstracts. A total 160 abstracts were assessed by those methods. Two senior two young used a newly developed rubric type quality 80 human-written The results statistically analysed crosstabulation chi-square analysis. Bivariate correlation accuracy methods assessed. demonstrated all made different variety incorrect assumptions. level academician experience play role detection with 1 demonstrating superior accuracy. GPTZero similarity very good at accurately identifying origin. In terms abstract type, every variable positively correlated, except case (p < 0.05). Human-AI collaborations significantly benefit identification origins.

Language: Английский

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Reacting to Generative AI: Insights from Student and Faculty Discussions on Reddit

Published: April 17, 2024

Generative Artificial intelligence (GenAI) such as ChatGPT has elicited strong reactions from almost all stakeholders across the education system. Education-oriented and academic social media communities provide an important venue for these to share experiences exchange ideas about GenAI, which is constructive developing human-centered policies. This study examines early user consisting of 725 Reddit threads between 06/2022 05/2023. Through natural language processing (NLP) content analysis, we observe increasingly negative sentiment in discussion identify six main categories student faculty GenAI education. These reflect concerns integrity AI's impact on values traditional Our analysis also highlights tension burden imposed by new technologies. findings suggest that dialogue community critical can mitigate sources students faculty.

Language: Английский

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An objective cross-sectional assessment of ChatGPT in hematology-oncology manuscript composition: Balancing promise with factual inaccuracies

Cancer Research Statistics and Treatment, Journal Year: 2024, Volume and Issue: 7(2), P. 206 - 215

Published: April 1, 2024

ABSTRACT Background: Artificial intelligence (AI)-based large language models (LLMs), such as Chat Generative Pre-training Transformer (ChatGPT), exhibit promise in aiding manuscript composition and literature search, encompassing various research tasks. However, their utilization remains unregulated. Objectives: The primary objective of this study was to objectively assess the ability ChatGPT 3.5 (free version) assist with tasks associated preparation based on pre-defined scoring criteria. Secondary objectives included an assessment factual accuracy data any false information returned by ChatGPT. Materials Methods: This cross-sectional planned Departments Clinical Hematology Medical Oncology Dayanand College Hospital, Ludhiana, Punjab, India, a tertiary care referral center. Between July 1, 2023, 30, seven prompts comprising queries related design, specific data, or complex discussion hematology/oncology subjects were used. responses scored detailed criteria for completeness, independently performed panel five reviewers current expertise field hematology/medical oncology. Negative marking inaccuracies. Cronbach’s alpha interclass correlation coefficient calculated inter-observer agreement. Results: readily provided structural components customize immediately. presence inaccuracies, fictional citations, presented confidently notable drawbacks. 0.995, intraclass indicating good overall score 34.2 out 90, poor veracity references. Conclusion: iteration rapidly provides plausible professional-looking up-to-date topics but is hindered significant Future focusing improving response addressing ethical considerations content generated LLMs will help us maximize potential scientific paper development.

Language: Английский

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