{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:26:50Z","timestamp":1743013610107,"version":"3.40.3"},"publisher-location":"Cham","reference-count":50,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031489402"},{"type":"electronic","value":"9783031489419"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-48941-9_28","type":"book-chapter","created":{"date-parts":[[2024,4,19]],"date-time":"2024-04-19T03:34:47Z","timestamp":1713497687000},"page":"367-380","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Final Thoughts: Digital Humanities Looking at Generative AI"],"prefix":"10.1007","author":[{"given":"Micaela","family":"Aguiar","sequence":"first","affiliation":[]},{"given":"S\u00edlvia","family":"Ara\u00fajo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,20]]},"reference":[{"key":"28_CR1","doi-asserted-by":"publisher","unstructured":"Ayd\u0131n, \u00d6., and E. Karaarslan. \u2018Is ChatGPT Leading Generative AI? What Is Beyond Expectations?\u2019 SSRN Electronic Journal, 2023. https:\/\/doi.org\/10.2139\/ssrn.4341500.","DOI":"10.2139\/ssrn.4341500"},{"key":"28_CR2","first-page":"24","volume":"7","author":"J Weizenbaum","year":"1961","unstructured":"Weizenbaum, J. \u2018How to Make a Computer Appear Intelligent\u2019. Datamation 7 (1961): 24\u201326.","journal-title":"Datamation"},{"key":"28_CR3","unstructured":"Goodfellow, I., J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, and Y. Bengio. \u2018Generative Adversarial Nets\u2019. In Advances in Neural Information Processing Systems (NIPS), Edited by Curran Associates, Inc, 2672\u201380. Red Hook, NY, USA: Curran Associates, Inc, 2014."},{"key":"28_CR4","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1007\/s11831-019-09388-y","volume":"28","author":"H Alqahtani","year":"2021","unstructured":"Alqahtani, H., M. Kavakli-Thorne, and G. Kumar. \u2018Applications of Generative Adversarial Networks (GANs): An Updated Review\u2019. Archives of Computational Methods in Engineering 28 (2021): 525\u201352. https:\/\/doi.org\/10.1007\/s11831-019-09388-y.","journal-title":"Archives of Computational Methods in Engineering"},{"key":"28_CR5","volume-title":"Auto-Encoding Variational Bayes","author":"DP Kingma","year":"2013","unstructured":"Kingma, Diederik P., and Max Welling. \u2018Auto-Encoding Variational Bayes\u2019, 2013. http:\/\/arxiv.org\/abs\/1312.6114."},{"key":"28_CR6","unstructured":"Lawton, George. \u2018What Is Generative AI? Everything You Need to Know\u2019. TechTarget, n.d. https:\/\/www.techtarget.com\/searchenterpriseai\/definition\/generative-AI."},{"key":"28_CR7","doi-asserted-by":"publisher","unstructured":"Wolf, T., L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, et al. \u2018Transformers: State-of-the-Art Natural Language Processing\u2019. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 38\u201345. Association for Computational Linguistics, 2020. https:\/\/doi.org\/10.18653\/v1\/2020.emnlp-demos.6.","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"28_CR8","unstructured":"Vaswani, A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, \u0141. Kaiser, and I. Polosukhin. \u2018Attention Is All You Need\u2019. In Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS, 6000\u20136010, 2017. http:\/\/papers.nips.cc\/paper\/7181-attention-is-all-you-need.pdf."},{"key":"28_CR9","unstructured":"Adaloglou, N. \u2018How Attention Works in Deep Learning: Understanding the Attention Mechanism in Sequence Models\u2019. The AI Summer, 2020. https:\/\/theaisummer.com\/attention\/."},{"key":"28_CR10","unstructured":"Lutkevich, B. January. \u2018BERT Language Model\u2019. TechTarget, 2020. https:\/\/www.techtarget.com\/searchenterpriseai\/definition\/BERT-language-model."},{"key":"28_CR11","volume-title":"Improving Language Understanding by Generative Pre-Training","author":"A Radford","year":"2018","unstructured":"Radford, A., and K. Narasimhan. \u2018Improving Language Understanding by Generative Pre-Training\u2019, 2018. https:\/\/s3-us-west-2.amazonaws.com\/openai-assets\/research-covers\/language-unsupervised\/language_understanding_paper.pdf."},{"key":"28_CR12","volume-title":"Training Language Models to Follow Instructions with Human Feedback","author":"L Ouyang","year":"2022","unstructured":"Ouyang, L., J. Wu, X. Jiang, D. Almeida, C. L. Wainwright, P. Mishkin, C. Zhang, et al. \u2018Training Language Models to Follow Instructions with Human Feedback\u2019, 2022. http:\/\/arxiv.org\/abs\/2203.02155."},{"issue":"6630","key":"28_CR13","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1126\/science.adg7879","volume":"379","author":"H Thorp","year":"2023","unstructured":"Thorp, H. \u2018ChatGPT Is Fun, but Not an Author\u2019. Science 379, no. 6630 (2023): 313.","journal-title":"Science"},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"Bishop, L. \u2018Can ChatGPT \u201cThink Like a Lawyer?\u201d A Socratic Dialogue\u2019. SSRN, 2023. https:\/\/ssrn.com\/abstract=4338995.","DOI":"10.2139\/ssrn.4338995"},{"key":"28_CR15","volume-title":"Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education","author":"J Qadir","year":"2022","unstructured":"Qadir, J. \u2018Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education\u2019, 2022."},{"key":"28_CR16","doi-asserted-by":"publisher","first-page":"9","DOI":"10.5281\/zenodo.7644359","volume":"no. 1","author":"AS George","year":"2023","unstructured":"George, A. S., and A. S. H. George. \u2018A Review of ChatGPT AI\u2019s Impact on Several Business Sectors\u2019. Partners Universal International Innovation Journal1, no. 1 (2023): 9\u201323. https:\/\/doi.org\/10.5281\/zenodo.7644359.","journal-title":"Partners Universal International Innovation Journal1"},{"key":"28_CR17","doi-asserted-by":"publisher","unstructured":"Cascella, M., J. Montomoli, and V. Bellini. \u2018Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios\u2019. Journal of Medical Systems 47, no. 33 (2023). https:\/\/doi.org\/10.1007\/s10916-023-01925-4.","DOI":"10.1007\/s10916-023-01925-4"},{"key":"28_CR18","unstructured":"\u2018Generative AI Models Explained\u2019, 13 October 2022. https:\/\/www.altexsoft.com\/blog\/generative-ai\/."},{"key":"28_CR19","unstructured":"Fonseca, C. \u2018The Role of AI in Making CX More Accessible and Inclusive\u2019. May 17 (2023). https:\/\/www.zendesk.com\/blog\/ai-cx-accessible\/."},{"key":"28_CR20","doi-asserted-by":"crossref","unstructured":"Makhortykh, M., E. M. Zucker, D. J. Simon, D. Bultmann, and R. Ulloa. \u2018Shall Androids Dream of Genocides? How Generative AI Can Change the Future of Memorialization of Mass Atrocities\u2019, 2023. http:\/\/arxiv.org\/abs\/2305.14358.","DOI":"10.1007\/s44163-023-00072-6"},{"key":"28_CR21","doi-asserted-by":"crossref","unstructured":"Carranza, E. R., S-Y Huang, J. Besems, and W. Gao. \u2018What Generative Algorithms Tell Us about Our Collective Memory Schema\u2019. In HUMAN-CENTRIC, Proceedings of the 28th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2023, 1:463\u201372, 2023.","DOI":"10.52842\/conf.caadria.2023.1.463"},{"key":"28_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-21147-8_18","volume-title":"The Ethics of Artificial Intelligence for the Sustainable Development Goals. Philosophical Studies Series","author":"G Taurino","year":"2023","unstructured":"Taurino, G. \u2018Algorithmic Art and Cultural Sustainability in the Museum Sector\u2019. In The Ethics of Artificial Intelligence for the Sustainable Development Goals. Philosophical Studies Series, edited by F. Mazzi and L. Floridi, Vol. 152. Cham: Springer, 2023. https:\/\/doi.org\/10.1007\/978-3-031-21147-8_18."},{"key":"28_CR23","volume-title":"Yes But","author":"CE Gonz\u00e1lez-Gallardo","year":"2023","unstructured":"Gonz\u00e1lez-Gallardo, C. E., E. Boros, N. Girdhar, A. Hamdi, J. G. Moreno, and A. Doucet. \u2018Yes But\u2019, 2023. http:\/\/arxiv.org\/abs\/2303.17322."},{"key":"28_CR24","volume-title":"SikuGPT: A Generative Pre-Trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities","author":"L Chang","year":"2023","unstructured":"Chang, L., W. Dongbo, Z. Zhixiao, H. Die, W. Mengcheng, L. Litao, and Z. Lianzheng. \u2018SikuGPT: A Generative Pre-Trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities\u2019, 2023. http:\/\/arxiv.org\/abs\/2304.07778."},{"key":"28_CR25","volume-title":"The Poetry of Prompts: The Collaborative Role of Generative Artificial Intelligence in the Creation of Poetry and the Anxiety of Machine Influence","author":"J Hutson","year":"2023","unstructured":"Hutson, James, and Ana Schnellmann. \u2018The Poetry of Prompts: The Collaborative Role of Generative Artificial Intelligence in the Creation of Poetry and the Anxiety of Machine Influence\u2019, 2023. https:\/\/digitalcommons.lindenwood.edu\/faculty-research-papers\/462."},{"key":"28_CR26","first-page":"151","volume":"21","author":"R Schober","year":"2022","unstructured":"Schober, R. \u2018Passing the Turing Test? AI Generated Poetry and Posthuman Creativity\u2019. Artificial Intelligence and Human Enhancement: Affirmative and Critical Approaches in the Humanities 21 (2022): 151.","journal-title":"Artificial Intelligence and Human Enhancement: Affirmative and Critical Approaches in the Humanities"},{"key":"28_CR27","doi-asserted-by":"publisher","unstructured":"Giannini, Tula, and Jonathan P. Bowen. \u2018Generative Art and Computational Imagination: Integrating Poetry and Art\u2019, 2023. https:\/\/doi.org\/10.14236\/ewic\/EVA2023.37.","DOI":"10.14236\/ewic\/EVA2023.37"},{"key":"28_CR28","unstructured":"What ChatGPT and generative AI mean for science. Chris Stokel-Walker & Richard Van Noorden, 2023. https:\/\/www.nature.com\/articles\/d41586-023-00340-6."},{"key":"28_CR29","doi-asserted-by":"crossref","unstructured":"Laupichler, M. C., A. Aster, J. Schirch, and T. Raupach. \u2018Artificial Intelligence Literacy in Higher and Adult Education: A Scoping Literature Review\u2019. Computers and Education: Artificial Intelligence 100101 (2022).","DOI":"10.1016\/j.caeai.2022.100101"},{"key":"28_CR30","doi-asserted-by":"crossref","unstructured":"Bender, E. M., T. Gebru, A. McMillan-Major, and S. Shmitchell. \u2018On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?\u2019 In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610\u201323, 2021.","DOI":"10.1145\/3442188.3445922"},{"key":"28_CR31","unstructured":"\u2018ChatGPT is no stochastic parrot. But it also claims that 1 is greater than 1\u2019. Konstantine Arkoudas, Januray 15, 2023. https:\/\/medium.com\/@konstantine_45825\/chatgpt-is-no-stochastic-parrot-but-it-also-claims-that-1-is-greater-than-1-e3cd1fc303e0."},{"key":"28_CR32","unstructured":"\u201cChatGPT isn\u2019t even close to being intelligent\u201d. Viki Auslender, April 16, 2023. https:\/\/www.calcalistech.com\/ctechnews\/article\/nt9qoqmzz,."},{"key":"28_CR33","unstructured":"\u2018What Is ChatGPT Doing \u2026 and Why Does It Work?, February 14\u2019, 2023. https:\/\/writings.stephenwolfram.com\/2023\/02\/what-is-chatgpt-doing-and-why-does-it-work\/."},{"key":"28_CR34","doi-asserted-by":"publisher","DOI":"10.1145\/3571884.3603756","volume-title":"Generative AI Considered Harmful","author":"JE Fischer","year":"2023","unstructured":"Fischer, J. E. \u2018Generative AI Considered Harmful\u2019, 2023."},{"key":"28_CR35","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1186\/s13054-023-04393-x","volume":"27","author":"R Azamfirei","year":"2023","unstructured":"Azamfirei, R., S. R. Kudchadkar, and J. Fackler. \u2018Large Language Models and the Perils of Their Hallucinations\u2019. Crit Care 27 (2023): 120. https:\/\/doi.org\/10.1186\/s13054-023-04393-x.","journal-title":"Crit Care"},{"issue":"1145","key":"28_CR36","first-page":"3571730","volume":"10","author":"Z Ji","year":"2022","unstructured":"Ji, Z., N. Lee, and R. Frieske. \u2018Survey of hallucination in natural language generation\u2019. ACM Comput Surv, 2022, 10 1145 3571730.","journal-title":"ACM Comput Surv"},{"key":"28_CR37","doi-asserted-by":"crossref","unstructured":"Alkaissi, H., and S. I. McFarlane. \u2018Artificial hallucinations in ChatGPT: implications in scientific writing\u2019. Cureus 15, no. 2 (2023).","DOI":"10.7759\/cureus.35179"},{"key":"28_CR38","volume-title":"How language model hallucinations can snowball","author":"M Zhang","year":"2023","unstructured":"Zhang, M., O. Press, W. Merrill, A. Liu, and N. A. Smith. \u2018How language model hallucinations can snowball\u2019, 2023. http:\/\/arxiv.org\/abs\/2305.13534."},{"key":"28_CR39","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1186\/s13054-023-04473-y","volume":"27","author":"M Salvagno","year":"2023","unstructured":"Salvagno, M., F. S. Taccone, and A. G. Gerli. \u2018Artificial intelligence hallucinations\u2019. Crit Care 27 (2023): 180. https:\/\/doi.org\/10.1186\/s13054-023-04473-y.","journal-title":"Crit Care"},{"key":"28_CR40","unstructured":"Huang, Jingshan, and Ming Tan. \u2018The Role of ChatGPT in Scientific Communication: Writing Better Scientific Review Articles\u2019, April 15, 2023. https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC10164801\/."},{"key":"28_CR41","unstructured":"Could AI Help You to Write Your next Paper? Matthew Hutson, 2022. https:\/\/www.nature.com\/articles\/d41586-022-03479-w."},{"key":"28_CR42","volume-title":"ChatGPT is a Remarkable Tool--For Experts","author":"A Azaria","year":"2023","unstructured":"Azaria, A., R. Azoulay, and S. Reches. \u2018ChatGPT is a Remarkable Tool--For Experts\u2019, 2023. http:\/\/arxiv.org\/abs\/2306.03102."},{"key":"28_CR43","unstructured":"\u2018What Is Generative AI? Exploring The Tech Behind This Modern Innovation\u2019. Julian Wallis, 19 May 2023. https:\/\/webo.digital\/blog\/what-is-generative-ai-exploring-the-tech\/."},{"key":"28_CR44","doi-asserted-by":"crossref","unstructured":"Teubner, T., C. M. Flath, C. Weinhardt, W. Aalst, and O. Hinz. \u2018Welcome to the Era of Chatgpt et al. the Prospects of Large Language Models\u2019. Business & Information Systems Engineering 65, no. 2 (2023): 95\u2013101.","DOI":"10.1007\/s12599-023-00795-x"},{"key":"28_CR45","unstructured":"D.a.i.r.a.i. \u2018Elements of a prompt\u2019, 2023. https:\/\/www.promptingguide.ai\/introduction\/elements."},{"key":"28_CR46","unstructured":"\u2018What Is Prompt Engineering? Explanation With Examples\u2019, n.d. https:\/\/blog.enterprisedna.co\/what-is-prompt-engineering\/."},{"key":"28_CR47","doi-asserted-by":"publisher","unstructured":"Giray, L. \u2018Prompt Engineering with ChatGPT: A Guide for Academic Writers\u2019. Ann Biomed Eng, 2023. https:\/\/doi.org\/10.1007\/s10439-023-03272-4.","DOI":"10.1007\/s10439-023-03272-4"},{"key":"28_CR48","unstructured":"\u2018Language Models Perform Reasoning via Chain of Thought Jason Wei and Denny Zhou\u2019. Research Scientists, Google Research, Brain Team, May 11, 2022. https:\/\/ai.googleblog.com\/2022\/05\/language-models-perform-reasoning-via.html."},{"key":"28_CR49","doi-asserted-by":"crossref","unstructured":"Ermakova, L., SanJuan, E., Huet, S., Augereau, O., & Kamps, J. (2023). Overview of the CLEF 2023 SimpleText Lab: Automatic Simplification of Scientific Texts. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14163 LNCS, 482\u2013506.","DOI":"10.1007\/978-3-031-42448-9_30"},{"key":"28_CR50","unstructured":"Ara\u00fajo, S. & Aguiar, M. (2023). Comparing ChatGPT\u2019s and Human Evaluation of Scientific Texts\u2019 Translations from English to Portuguese Using Popular Automated Translators. Arampatzis, A. Kanoulas, E. Tsikrika, T. Vrochidis, S. Giachanou, A. Li, D. Aliannejadi, M. Vlachos, M. Faggioli, G. Ferro, N. (2023). Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum (p. 2010\u20132019)."}],"container-title":["Digital Humanities Looking at the World"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-48941-9_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T16:12:31Z","timestamp":1731773551000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-48941-9_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031489402","9783031489419"],"references-count":50,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-48941-9_28","relation":{},"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"20 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}