Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 30, 2024
Language: Английский
Journal of King Saud University - Computer and Information Sciences, Journal Year: 2023, Volume and Issue: 35(8), P. 101675 - 101675
Published: Aug. 2, 2023
Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It shown impressive performance various domains, including passing exams creative writing. However, challenges concerns related to biases trust persist. In this work, we present a comprehensive review of over 100 Scopus-indexed publications on ChatGPT, aiming provide taxonomy ChatGPT research explore applications. We critically analyze the existing literature, identifying common approaches employed studies. Additionally, investigate diverse application areas where found utility, such as healthcare, marketing financial services, software engineering, academic scientific writing, education, environmental science, natural language processing. Through examining these applications, gain valuable insights into potential addressing real-world challenges. also discuss crucial issues trustworthiness, emphasizing need for further development areas. Furthermore, identify future directions research, proposing solutions current speculating expected advancements. By fully leveraging capabilities can unlock across leading advancements conversational AI transformative impacts society.
Language: Английский
Citations
107
Brain‐X, Journal Year: 2023, Volume and Issue: 1(3)
Published: Sept. 1, 2023
Abstract As the integration of artificial intelligence (AI) into our daily lives and educational environments becomes increasingly prevalent, it is necessary to understand way in which these technologies impact cognitive functions. AI models such as ChatGPT hold immense promise for advancing field education, making easier than ever educators support personalized learning students access information. However, there are risks associated with increased engagement; individuals may become over‐reliant on AI, resulting a reduced capacity critical thinking, or decline memory retention. This article provides comprehensive survey potential impacts, emphasizing need judicious utilization advocating an approach that supplements, rather supplants, human The paper concludes by encouraging further research long‐term effects interacting advanced ChatGPT.
Language: Английский
Citations
54
Annals of Biomedical Engineering, Journal Year: 2023, Volume and Issue: 51(8), P. 1658 - 1662
Published: April 25, 2023
Language: Английский
Citations
48
Business Information Review, Journal Year: 2023, Volume and Issue: 40(3), P. 137 - 149
Published: July 18, 2023
ChatGPT is an emerging technology that revolutionizes organizational practices, fundamentally altering how individuals in organizations search for, generate, and utilize information within the workplace. The effective functioning of many heavily relies on data information. has streamlined process working with information, making it more accessible for involved. However, adoption also presents challenges across various domains, including social, economic, legal considerations. This study conducts a comprehensive literature review to explore multiple perspectives integrating into management. It examines aspects, such as development ChatGPT, its practical uses, ethical implications, governance mechanisms, regulations policies. aims guide managers stakeholders effectively incorporating their processes. provides detailed examination ChatGPT's impact management, offering valuable insights practitioners scholars alike, aiming navigate complexities harness benefits this transformative technology. By understanding implications leveraging potential can enhance operations decision-making
Language: Английский
Citations
45
Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)
Published: Dec. 13, 2023
Abstract The emergence of large language models (LLM) with remarkable performance such as ChatGPT and GPT-4, has led to an unprecedented uptake in the population. One their most promising studied applications concerns education due ability understand generate human-like text, creating a multitude opportunities for enhancing educational practices outcomes. objective this study is twofold: assess accuracy ChatGPT/GPT-4 answering rheumatology questions from access exam specialized medical training Spain (MIR), evaluate reasoning followed by these LLM answer those questions. A dataset, RheumaMIR, 145 rheumatology-related questions, extracted exams held between 2010 2023, was created that purpose, used prompt LLM, publicly distributed. Six rheumatologists clinical teaching experience evaluated chatbots using 5-point Likert scale degree agreement analyzed. association variables could influence models’ (i.e., year question, disease addressed, type question genre) studied. demonstrated high level both accuracy, 66.43%, reasoning, median (Q1–Q3), 4.5 (2.33–4.67). However, GPT-4 showed better score 93.71% value 4.67 (4.5–4.83). These findings suggest may serve valuable tools education, aiding preparation supplementing traditional methods.
Language: Английский
Citations
37
Gastroenterology & Endoscopy, Journal Year: 2023, Volume and Issue: 1(3), P. 139 - 143
Published: July 1, 2023
In recent years, with the rapid development of deep learning, artificial intelligence (AI) has gradually become a powerful assistant for humans in various aspects. The maturity and advancement natural language models led to birth Chat Generative Pre-Trained Transformer (ChatGPT), generating great potential healthcare applications. This review summarized possible application prospects ChatGPT healthcare, assessed limitations that still exist, suggested improvements. conclusion, current version can provide accurate practical information doctors patients, help professionals diagnose treat, promote medical education, improve accuracy efficiency system, etc. However, some limitations, as issues such information, privacy data, ethical moral sentiments need be solved. future, scientists make efforts achieve more effective applications or other AI model by enhancing performance, filling data gap, promoting standardization copyright issues.
Language: Английский
Citations
31
BMJ Health & Care Informatics, Journal Year: 2023, Volume and Issue: 30(1), P. e100815 - e100815
Published: Dec. 1, 2023
Introduction Large language models such as ChatGPT have gained popularity for their ability to generate comprehensive responses human queries. In the field of medicine, has shown promise in applications ranging from diagnostics decision-making. However, its performance medical examinations and comparison random guessing not been extensively studied. Methods This study aimed evaluate preinternship examination, a assessment students Iran. The examination consisted 200 multiple-choice questions categorised into basic science evaluation, diagnosis GPT-4 was used, were translated English. A statistical analysis conducted assess also compare it with test group. Results results showed that performed exceptionally well, 68.5% answered correctly, significantly surpassing pass mark 45%. It exhibited superior decision-making successfully passed all specialties. Comparing group, ChatGPT’s higher, demonstrating provide more accurate reasoning. Conclusion highlights potential licensing advantage over guessing. is important note still falls short physicians terms diagnostic accuracy capabilities. Caution should be exercised when using ChatGPT, verified by experts ensure patient safety avoid errors field.
Language: Английский
Citations
26
Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 10, 2025
Language: Английский
Citations
1
Kybernetes, Journal Year: 2023, Volume and Issue: 53(11), P. 4948 - 4975
Published: Aug. 4, 2023
Purpose Integrating the Chat Generative Pre-Trained Transformer-type (ChatGPT-type) model with government services has great development prospects. Applying this improves service efficiency but certain risks, thus having a dual impact on public. For responsible and democratic government, it is necessary to fully understand factors influencing public acceptance their causal relationships truly encourage accept use ChatGPT-type services. Design/methodology/approach This study used Latent Dirichlet allocation (LDA) analyze comment texts summarize 15 that affect acceptance. Multiple-related matrices were established using grey decision-making trial evaluation laboratory (grey-DEMATEL) method reveal among factors. From two opposite extraction rules of result priority cause priority, authors obtained an antagonistic topological comprehensive influence values total adversarial interpretive structure (TAISM). Findings Fifteen categorized in terms effect, was also analyzed. The analysis showed perceived risk, trust meeting demand three most critical Meanwhile, risk directly affected by other Supervision accountability had highest driving power acted as factor Originality/value identified affecting integrating It analyzed relationship between provide reference for decision-makers. introduced TAISM form LDA-grey-DEMATEL-TAISM analytical paradigm studying similar
Language: Английский
Citations
21
Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 198, P. 122951 - 122951
Published: Oct. 31, 2023
Language: Английский
Citations
17