References

Alkaissi, Hussam, and Samy I McFarlane. 2023. “Artificial Hallucinations in ChatGPT: Implications in Scientific Writing.” Cureus 15 (2).

Athaluri, Sai Anirudh, Sandeep Varma Manthena, VSR Krishna Manoj Kesapragada, Vineel Yarlagadda, Tirth Dave, and Rama Tulasi Siri Duddumpudi. 2023. “Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References.” Cureus 15 (4).

Baldassarre, Maria Teresa, Danilo Caivano, Berenice Fernandez Nieto, Domenico Gigante, and Azzurra Ragone. 2023. “The Social Impact of Generative AI: An Analysis on ChatGPT.” In Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 363–73. GoodIT ’23. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3582515.3609555.

Berthelot, Adrien, Eddy Caron, Mathilde Jay, and Laurent Lefèvre. 2024. “Estimating the environmental impact of Generative-AI services using an LCA-based methodology.” In CIRP LCE 2024 - 31st Conference on Life Cycle Engineering, 1–10. Turin, Italy. https://inria.hal.science/hal-04346102.

Bockting, Claudi, Eva A Dis, Robert Rooij, Willem Zuidema, and Johan Bollen. 2023. “Living Guidelines for Generative AI — Why Scientists Must Oversee Its Use.” Nature 622 (October): 693–96. https://doi.org/10.1038/d41586-023-03266-1.

Chan, Cecilia Ka Yuk. 2023. “A Comprehensive AI Policy Education Framework for University Teaching and Learning.” International Journal of Educational Technology in Higher Education 20 (1): 38.

Chien, Andrew A, Liuzixuan Lin, Hai Nguyen, Varsha Rao, Tristan Sharma, and Rajini Wijayawardana. 2023. “Reducing the Carbon Impact of Generative AI Inference (Today and in 2035).” In Proceedings of the 2nd Workshop on Sustainable Computer Systems. HotCarbon ’23. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3604930.3605705.

Duin, Ann Hill, and Isabel Pedersen. 2021. Writing Futures: Collaborative, Algorithmic, Autonomous. Springer.

Ji, Ziwei, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023. “Survey of Hallucination in Natural Language Generation.” ACM Comput. Surv. 55 (12). https://doi.org/10.1145/3571730.

Kumar, Rahul. 2023. “Faculty Members’ Use of Artificial Intelligence to Grade Student Papers: A Case of Implications.” International Journal for Educational Integrity 19 (1): 9.

Østergaard, Søren Dinesen, and Kristoffer Laigaard Nielbo. 2023. “False Responses From Artificial Intelligence Models Are Not Hallucinations.” Schizophrenia Bulletin 49 (5): 1105–7. https://doi.org/10.1093/schbul/sbad068.

Turing, Alan. 2004. “Lecture on the Automatic Computing Engine (1947).” In The Essential Turing. Oxford University Press. https://doi.org/10.1093/oso/9780198250791.003.0015.

Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017. “Attention Is All You Need.” Advances in Neural Information Processing Systems 30.

Vink, Gerko, Duco Veen, and Hanne Oberman. 2024. “gerkovink/openeducationbook: Open Education in Higher Education.” Zenodo. https://doi.org/10.5281/zenodo.10594358.

Weizenbaum, Joseph. 1966. “ELIZA—a Computer Program for the Study of Natural Language Communication Between Man and Machine.” Commun. ACM 9 (1): 36–45. https://doi.org/10.1145/365153.365168.