The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration
Open accessAbstract
Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder et al., Citation2019). AI has been defined as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation” (Kaplan & Haenlein, Citation2019, p. 15). AI has gone through several development stages and AI winters. In the first two decades (i.e., 1950s and 1960s), AI demonstrated success which included programs such as General Problem Solver (Newell et al., Citation1959) and ELIZA (Weizenbaum, Citation1966). However, limitations in processing capacity and reduced spending on AI turned its development into stagnation. In recent years, AI has made a comeback with the introduction of AlphaGo in 2015 and ChatGPT in 2022. Following the release of the application named “Chat Generative Pre-trained Transformer” or ChatGPT by OpenAI in late 2022, AI has attracted worldwide attention.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Citations
Cites
Generative adversarial networks
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020) · Communications of the ACM · doi:10.1145/3422622 · Cited by 18,384
A fast learning algorithm for deep belief nets
Hinton, G. E., Osindero, S., & Teh, Y.-W. (2006) · Neural Computation · doi:10.1162/neco.2006.18.7.1527 · Cited by 16,336
Advances in Neural Information Processing Systems 29
Teymur, O., Zygalakis, K., & Calderhead, B. (2016) · Cited by 13,881
Rudin, C. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0048-x · Cited by 10,561
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · doi:10.35542/osf.io/5er8f · Cited by 7,552
ChatGPT for good? On opportunities and challenges of large language models for education
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences · doi:10.1016/j.lindif.2023.102274 · Cited by 7,326
Survey of Hallucination in Natural Language Generation
Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023) · ACM Computing Surveys · doi:10.1145/3571730 · Cited by 5,025
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584
ELIZA—a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1966) · Communications of the ACM · doi:10.1145/365153.365168 · Cited by 4,452
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000198 · Cited by 4,115
Research works printed but not linked: 20
- Alkaissi H., 2023, Cureus, 15, 1
- Berg A., 2016, Finance & Development, 53, 10
- Bozkurt A., 2023, Asian Journal of Distance Education, 18, 1
- Bridy A., 2012, Stanford Technology Law Review, 5, 1
- Chan G. K., 2022, AI & Society, 1
- Deeks A., 2019, Columbia Law Review, 119, 1829
- Firat M., 2023, OSF Preprints, 1
- Flyverbom M., 2016, International Journal of Communication, 10, 110
- Gillotte J. L., 2019, UC Davis L Rev, 53, 2655
- Hu G., 2023, Accountability in Research, 1
- Kroll, J. A. (2015). Accountable Algorithms (Doctoral dissertation, Princeton University).
- Monarch R., 2021, Human-in-the-loop machine learning
- Murray M. D., 2023, Hastings Communications & Entertainment Law Journal, 45, 27
- Newell A., 1959, Proceedings of the International Conference on Information Processing, 256
- Ray S., 2023, Forbes
- Salakhutdinov R., 2010, Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 693
- Shubhendu S., 2013, International Journal of Scientific Engineering and Research, 1, 28
- Siau K., 2018, The Global Analyst, 7, 22
- Smolensky P., 1986, Parallel distributed processing, 194
- Su J., 2023, ECNU Review of Education, 1
Cited by
Sorted by citations
Items 901–1,000 of 1,004
Enhancing corporate innovation through generative AI: A case study on Human–AI collaboration
Pena, T., Cunha, A. S., Cordeiro, J. V., & Victorino, G. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.102867 · Cited by 2
Zhang, Y., Siau, K. L., & Sung, J. (2026) · Software & Systems Modeling · doi:10.1007/s10270-026-01383-9 · Cited by 1
Self-citationAlzahrani, S., & Bhunia, A. K. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1803390 · Cited by 1
Kumar, A., Shankar, A., Behl, A., & Zhang, Z. (2026) · International Marketing Review · doi:10.1108/imr-10-2024-0375 · Cited by 1
Sadiq, M., & Almahraj, Y. A. (2026) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.70778 · Cited by 2
The Generative AI Dilemma in Knowledge-Intensive Teams
Reif, J. A., & Cummings, J. N. (2026) · Academy of Management Review · doi:10.5465/amr.2024.0538 · Cited by 2
Mubarak, F. (2026) · Journal of Consumer Culture · doi:10.1177/14695405261466832 · Cited by 1
Sifat, R. I., Jowarder, M. I., Jowarder, R. A., & Fnu, H. (2026) · NEW SOLUTIONS A Journal of Environmental and Occupational Health Policy · doi:10.1177/10482911261474923 · Cited by 1
Alexandroff, R., Furberg, A., Westberg, A., Amerotti, M., & Holzapfel, A. (2026) · The International Journal of Life Cycle Assessment · doi:10.1007/s11367-026-02713-1 · Cited by 1
Peykani, P., Charles, V., Emrouznejad, A., Ghanidel, S., & Sabour, D. (2026) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-026-10720-6 · Cited by 1
Enerji Sektörünün Dijital Dönüşümünde Yapay Zekâ
Göde, A., Doğan, A., & Özköse, H. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137.c1389 · Cited by 1
Yönetim Bilişim Sistemleri: İşletmelerde Dijital Dönüşüm Yönetimi
Akbulut, M., Aka, S., Tekin, İ. Ç., Erdoğan, P., Emül, Y., Çerasi, C. Ç., Seymen, T., Sözüer, A., KORKMAZ, E. V., Başar, R., et al. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137 · Cited by 1
AI-Driven Content Developing and Designing for Teaching Materials of Digital Healthcare
Muthmainnah, M., Yakin, A. M. A., Nurjannah, N., Mursidin, M., & Aqad, M. H. A. (2024) · Advances in medical diagnosis, treatment, and care (AMDTC) book series · doi:10.4018/979-8-3693-3679-3.ch015 · Cited by 1
Deep Learning and Augmented Reality Based Pollution Detection System for Sea Surface Applications
Nakkach, C., & Moussi, K. (2023) · IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science (BCD) · doi:10.1109/bcd57833.2023.10466311 · Cited by 1
Innovations With ChatGPT in the Tourism Industry
Demir, Ş. Ş. (2024) · Advances in hospitality, tourism and the services industry (AHTSI) book series · doi:10.4018/979-8-3693-1239-1.ch002 · Cited by 1
Tři konceptualizace inforga: od entitního pojetí po distribuovaný model
Černý, M. (2024) · ProInflow Časopis pro informační vědy · doi:10.5817/proin2024-37995 · Cited by 1
Applications Areas, Possibilities, and Limitations of ChatGPT
Qamar, R., & Zardari, B. A. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-6824-4.ch004 · Cited by 1
The Potential Future With ChatGPT Technology and AI Tools
Israni, R. K. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-6824-4.ch013 · Cited by 1
Leveraging Generative AI for Personalized Recommendation System
Bedi, P., Das, S., Goyal, S. B., Shaw, R. N., & Ghosh, A. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-1961-7_40 · Cited by 1
Absent Presence: The Human Influence in AI-Generated Content in the Age of Technoculture
Vosevich, K., & Hutson, J. (2024) · International Journal of Emerging and Disruptive Innovation in Education VISIONARIUM · doi:10.62608/2831-3550.1025 · Cited by 1
Park, S.-H., Lee, J.-S., Park, E., Kim, E., & Seo, Y. G. (2024) · Journal of Digital Contents Society · doi:10.9728/dcs.2024.25.5.1325 · Cited by 1
Human Interest or Conflict? Leveraging LLMs for Automated Framing Analysis in TV Shows
del Barrio, D. A., Tiel, M., & Gática-Pérez, D. (2024) · ACM International Conference on Interactive Media Experiences · doi:10.1145/3639701.3656308 · Cited by 3
Gilstrap, C. A., Bačić, D., & Gilstrap, C. M. (2024) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.1109/mipro60963.2024.10569536 · Cited by 1
RAZEC, I. (2024) · Postmodernism Problems · doi:10.46324/pmp2402182 · Cited by 1
Effect of Exploring Artificial Intelligence in Academic Libraries on Academic Research
Onwubiko, E. C. (2024) · Advances in library and information science (ALIS) book series · doi:10.4018/979-8-3693-3053-1.ch003 · Cited by 1
EXPLORING ESSENTIAL CONCEPTS IN THE AUTOMATION OF STUDENT PLAGIARISM MANAGEMENT - A CASE STUDY
Grobler, M. M. (2024) · Journal of Law and Sustainable Development · doi:10.55908/sdgs.v12i9.4002 · Cited by 1
Islam, M. N., & Aziz, M. T. B. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-8031-0_37 · Cited by 1
Reseach on Prompmt Engineering for Generative AI to Create Business Data Analysis Reports
Park, Y., Kim, D., Yoo, S., Bae, Y., & Kim, K. (2024) · The Journal of Korean Institute of Information Technology · doi:10.14801/jkiit.2024.22.11.167
Qaran, A., Al-Qarni, A., Al-Sohimy, A., Al-Marhabi, A., & Musalhi, A. (2024) · International Journal of Educational Sciences and Arts · doi:10.59992/ijesa.2024.v3n12p10
Machine Learning Models to Detect AI-Assisted Code Anomaly in Introductory Programming Course
Toba, H., & Karnalim, O. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-71530-3_11 · Cited by 4
Havaei, Z., Saberi, M., & Hussain, O. K. (2024) · IEEE International Conference on e-Business Engineering (ICEBE) · doi:10.1109/icebe62490.2024.00048 · Cited by 2
Shao, Z. (2024) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-7235-7.ch009 · Cited by 1
Human–AI Interaction in the Production of Cultural Symbols
ÖZTUNÇ, M., & Budak, V. (2024) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-7235-7.ch004 · Cited by 1
Türkiye’de ChatGPT algısı: Bert modeli ile duygu analizi
GAZAZ, D. C., & Ayvaz, S. (2024) · Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi · doi:10.31795/baunsobed.1470846 · Cited by 1
Enhancing Student Learning in Scrum Projects with Generative AI Assistance
Boubakri, M., & Nafil, K. (2024) · International Conference on Information Technology Based Higher Education and Training (ITHET) · doi:10.1109/ithet61869.2024.10837605 · Cited by 3
Štilić, A., Puška, A., & Ničić, M. (2025) · DETUROPE · doi:10.32725/det.2024.020 · Cited by 4
Librarians Leading the Way to AI Literacy
Gross, E. A., Burress, R., & Weimar, H. (2025) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-6527-4.ch012 · Cited by 1
Responsible AI in Fintech: Addressing Challenges and Strategic Solutions
Saleem, M., Chawla, C., Agarwal, A. K., & Ather, D. (2025) · Information systems engineering and management · doi:10.1007/978-3-031-76957-3_4 · Cited by 1
Schneeberger, D., & Traavik, L. E. M. (2025) · International perspectives on equality, diversity and inclusion · doi:10.1108/s2051-233320250000012025 · Cited by 1
The Influence of Generative AI on work-life balance among female software professionals in Sri Lanka
Upeksha, S., Samarasinghe, D. G. S. P., Sanochana, M., Samarathunga, S. S., Rajamanthri, L., Samarakkody, T., & Aluthwala, C. (2025) · International Conference on Advanced Research in Computing (ICARC) · doi:10.1109/icarc64760.2025.10963119 · Cited by 3
The Cyber-Creative DA VINCI Process
Corazza, G. E. (2025) · Springer eBooks · doi:10.1007/978-3-031-84535-2_1 · Cited by 1
Lalchhanhima, J. K., Rajendran, V., & Madhusudanan, A. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0335-2.ch010 · Cited by 1
Bulat, B., & Hilbert, M. (2025) · Entropy · doi:10.3390/e27060573 · Cited by 7
GENERATIVE AI: EVOLUTION, APPLICATIONS, CHALLENGES, AND FUTURE PROSPECTS
Parmar, R., Garg, P. K., Bhatt, M., & Arsalan, M. (2025) · Global Conference on AI Research and Emerging Developments (G-CARED) · doi:10.63169/gcared2025.p6 · Cited by 1
The evolution of artificial intelligence and its transformative role in education
Stošić, L. V., Radonjić, A., & Krčadinac, O. (2025) · Journal of UUNT Informatics and Computer Sciences · doi:10.62907/juuntics250201015s · Cited by 1
Sarode, A., Rothe, A., Thakur, A., Chikte, A., & Dongre, S. (2025) · OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON) · doi:10.1109/otcon65728.2025.11071124 · Cited by 1
The impact of generative artificial intelligence on the legal systems of contemporary states
Hachkevych, A. (2025) · Law and innovative society · doi:10.37772/2309-9275-2025-1(24)-3 · Cited by 1
Emergent defenders: generative AI’s role in safeguarding IoT ecosystems
Rani, P., Sehrawat, H., Kaur, A., & Damaševičius, R. (2025) · Cluster Computing · doi:10.1007/s10586-025-05126-1 · Cited by 2
Artificial Intelligence and Innovation
Krzywdzinski, M., Schneiß, D., & Weisenburger, P. (2025) · Springer eBooks · doi:10.1007/978-3-031-25143-6_75-1 · Cited by 1
Suggestion and Emotional Analysis of Conversations for Virtual Avatar using ChatGPT
Mitsuhashi, K. (2025) · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) · doi:10.1109/acdsa65407.2025.11165832 · Cited by 1
Exploring Chatbot Adoption in the Italian Legal Domain: A Fuzzy-Set Qualitative Comparative Analysis
Bianchini, F., Braccini, A. M., Luzi, F. D., Macrì, M., Mecella, M., & Ruggiero, R. A. (2025) · Lecture notes in information systems and organisation · doi:10.1007/978-3-032-01396-5_14 · Cited by 1
Jin, H., Cisterna, D., Owens, D., & Riordan, B. (2025) · Disciplinary and Interdisciplinary Science Education Research · doi:10.1186/s43031-025-00146-8 · Cited by 1
Doing More with Less: A Design Principle for Generative AI Adoption in Nonprofits
Wiputra, R., Gunawan, A., Wijaya, M. I., & Sundaram, D. (2025) · International Conference on Intelligent Human-Machine Systems and Cybernetics · doi:10.1109/ihmsc66529.2025.00013 · Cited by 1
Dong, C., & van den Berg, M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4727954 · Cited by 1
Visionarium, June 2024, Full Issue
(2024) · International Journal of Emerging and Disruptive Innovation in Education VISIONARIUM · doi:10.62608/2831-3550.1023
Mudd, A., Conroy, T., Voldbjerg, S. L., Goldschmied, A. Z., & Schuwirth, L. (2024) · Research Square · doi:10.21203/rs.3.rs-4767916/v1 · Cited by 1
Harnessing Generative AI to Drive Responsible Business Research and Accelerate Social ImpactPreprint
Steingard, D. S., Reibstein, D. J., & Normandin, M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5016963 · Cited by 1
AI in Human Resource Management
Fu, X., Nah, F. F., Liu, S., Zhang, K., Huang, Z., Zheng, R., & Xie, W. (2026) · Wiley eBooks · doi:10.1002/9781394266401.ch14 · Cited by 1
Self-citationNdoro, S., Edwards, S., & McNally, R. (2026) · British Journal of Healthcare Management · doi:10.12968/bjhc.2025.0145 · Cited by 1
The Health Communications Assessment Checklist: a teaching tool for uncovering bias in the age of AI
Ofrane, R. H., Canada, T., & Birnbaum, A. S. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1872506
İnsan Kaynakları Yönetiminde Yeni Paradigma: İKY 4.0
Tekin, İ. Ç., & Erdoğan, P. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137.c1384
Web Kazıma Yöntemlerini Kullanarak Sosyal Medya ve Web Verilerinin Dijital Pazarlama Analizi
Akbulut, M. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137.c1382
Paralel Hizmet Sağlayıcı ve Tek Kuyruklu Sistemlerin Bulanık Kontrolü
Aka, S. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub137.c1383
Research Note the Tightrope between Human and Ai-Generated Innovation: A Turing TestPreprint
Stock‐Homburg, R. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4613427 · Cited by 1
Koliousis, I. G., Al-Surmi, A., & Bashiri, M. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4634011
Pseudo-Research: A Fabricated Study on Student Engagement in Music Pedagogy
Farrell, H. (2023) · Irish Journal of Technology Enhanced Learning · doi:10.22554/ijtel.v7i2.145
Shi, Y. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4677492
Use ChatGPT to maximize everyday efficiency
Shi, D. (2024) · Naturalis scientias. · doi:10.62252/nss.2024.1006 · Cited by 1
The Effects of ChatGPT on Economic Development
Wu, M. (2024) · Highlights in Business Economics and Management · doi:10.54097/tymwwt88 · Cited by 2
AI and Human IntelligencePreprint
Talati, D. V. (2024) · doi:10.36227/techrxiv.170751716.66163387/v1
Comparing Algorithm-Based and Friend-Based Recommendations on Audio Streaming Platforms
Flaswinkel, A. M., & Decker, R. (2024) · International Review of Management and Marketing · doi:10.32479/irmm.15673
Conceptual Framework for Utilizing Chatbots as Domain Experts in Organizations
Škarabot, M., & Leskovar, R. (2024) · doi:10.18690/um.fov.3.2024.67
Aihara, R., & Hoshino, Y. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4768556
Exploring the Transformative Role of ChatGPT in Marketing
Nyamekye, M. B., Agbemabiese, G. C., Mahmoud, M. A., Anim, P. A., Arthur, E., Sraha, G., & Quansah, F. (2024) · Advances in hospitality, tourism and the services industry (AHTSI) book series · doi:10.4018/979-8-3693-1239-1.ch006
Hacking the Perfect Score on High-Stakes Personality Assessments with Generative AiPreprint
Phillips, J. J., & Robie, C. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4826678
ChatGPT Kecerdasan Buatan untuk Inovasi UKM: Tinjauan Sistematis Literatur dan Analisis Bibliometrik
Rozi, F., & Andrian, R. (2024) · Didaktika Jurnal Kependidikan · doi:10.58230/27454312.579
Marwala, T., & Mpedi, L. G. (2024) · Springer eBooks · doi:10.1007/978-981-97-2827-5_12
Transformasi Digital (Pengantar Literasi Digital untuk Mahasiswa)Preprint
Aisyah, T., Indriasari, M., Djuwitaningrum, E. R., Widyastuti, W., Indraswati, T. D., Sulistyoningsih, M. M. G. D. R., Alimuddin, Arafiyah, R., Herlambang, M. B., Setiawan, A., et al. (2024) · doi:10.31237/osf.io/ydfrv
Exploring Research Trends and Potential in Conjunction With ChatGPT and Other AI Tools
Israni, R. K. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-6824-4.ch001
Exploring Complementarities from Human-Ai Interaction in Innovation SearchPreprint
Hassan, R., & Nair, S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4851213
إستخدام الذكاء الاصطناعي في الاعلان : دراسة حالة لحملة شركة كوكا كولا المدعومة بالذكاء الاصطناعي
المكصوصي, م. م. م. ص. (2024) · لارك · doi:10.31185/lark.3536
Steingard, D. S., & Rodenburg, K. S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4883397
The Evolution of Information Seeking Practices and Technologies and the Future of the Library
Wan, S. Y. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95689-5.00238-8
Panda, R., Mishra, A., & Mohanty, A. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-3278-8.ch004
inQuery- Online AI Application Formatting and Management System
Singh, A., Smriti, S., Bhat, T. S., Sharma, U., & Sharma, Y. (2024) · International Conference on Computational Intelligence and Communication Technologies (CCICT) · doi:10.1109/ccict62777.2024.00088
Tang, J., Peng, Z., & Wei, W. (2024) · Big Data and Cognitive Computing · doi:10.3390/bdcc8080090
Generative Artificial Intelligence and Responsible Tourism
(2024) · Journal of Responsible Tourism Management · doi:10.47263/jrtm.04-02-06
Rao, X., Shan, G., & Qiu, L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4909905
Generative AI and Business Strategy
Darwish, D. A. M. (2024) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-5578-7.ch001
Pratschke, B. M. (2024) · Springer briefs in education · doi:10.1007/978-3-031-67991-9_6 · Cited by 1
Dynamic Defense Strategies With Generative AI
Hameed, K., Tayyab, M. A., Jhanjhi, N. Z., Muzammal, S. M., & Mumtaz, M. (2024) · Advances in digital crime, forensics, and cyber terrorism book series · doi:10.4018/979-8-3693-8944-7.ch003
Generative Insights Unveiling AI's Evolution and Algorithms
Elavarasi, D., Ramadevi, M., Jayabarathan, J. K., & Robinson, S. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9173-0.ch001
Artificial Intelligence to Advance Sustainability: A Review of Progress
Napolitano, G. (2024) · Springer eBooks · doi:10.1007/978-3-031-66205-8_5
Ideation and Refocusing Research
(2024) · Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series · doi:10.4018/979-8-3693-6905-0.ch002
Analyzing Sweep Integration in GitHub for AI-Augmented Issue Resolution
Utomo, M. M., Kusumo, D. S., & Richasdy, D. (2024) · doi:10.1109/icoict61617.2024.10698190
Are you smarter than ChatGPT? Challenging our understanding of media literacy through generative AI
Peebles, A. L., & Snyder, M. N. (2024) · Communication Teacher · doi:10.1080/17404622.2024.2414032 · Cited by 2
Generative AI based Interior Designing
Thakkar, K., Vadgama, K., Ranawat, K., Sharma, R., & Mangla, M. (2024) · International Conference on Electrical Electronics and Computing Technologies (ICEECT) · doi:10.1109/iceect61758.2024.10739260
Evaluating generative AI tools: A comparative guide for new users
R., O. I. I., & M., C. G. Q. (2024) · Transactions on Energy Systems and Engineering Applications · doi:10.32397/tesea.vol5.n2.606
The “Trolley Problem” in Fully Automated AI-Driven Media: A Challenge Beyond Autonomous Driving
Wang, J., & Ye, B. (2024) · Journal of Media Ethics · doi:10.1080/23736992.2024.2418053 · Cited by 1
Metadata
- Authors
- Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L.
- Affiliations
- City University of Hong Kong, Kowloon, Hong Kong SAR
- City University of Hong Kong (HK)
- Missouri University of Science and Technology (US)
- Venue
- Journal of Information Technology Case and Application Research
- Publisher
- Informa UK Limited
- Published
- 2023-07-03
- Volume
- 25
- Issue
- 3
- Pages
- 277-304
- ISSN
- 1522-8053 (ISSN-L)
- 2333-6897
- OpenAlex
- W4385071300
- Cited by
- 1,363
- References
- 86
- Citations by year
- 2026: 336 · 2025: 557 · 2024: 422 · 2023: 47
- FWCI
- 128.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Information Technology Case and Application Research (publishedVersion)
- Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Keywords
- generative AI, ChatGPT, large language models, human-AI collaboration, history of artificial intelligence, AI winter, AlphaGo, artificial intelligence applications, AI challenges
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review