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Innovation and Digital Transformation for a Sustainable World




               [9]  Esteva, A., Kuprel, B., Novoa, R. A., Ko, J.,    teaching: A study of educators' perspectives.
                  Swetter, S. M., Blau, H. M., & Thrun, S. (2017).   Computers and Education: Artificial Intelligence,
                  Dermatologist-level classification of skin cancer   6, 100221.
                  with deep neural networks. Nature, 542(7639),      https://doi.org/10.1016/j.caeai.2024.100221
                  115–118. https://doi.org/10.1038/nature21056
                                                                  [19] Ferraro, C., Demsar, V., Sands, S., Restrepo, M.,
               [10] Chapman, A. B., Peterson, K. S., Alba, P. R.,    & Campbell, C. (2024). The paradoxes of
                  DuVall, S. L., & Patterson, O. V. (2019).          generative AI-enabled customer service: A guide
                  Detecting adverse drug events with rapidly trained   for managers. Business Horizons.
                  classification models. Drug Safety, 42, 147–156.   https://doi.org/10.1016/j.bushor.2024.04.013
                  https://doi.org/10.1007/s40264-018-0763-y
                                                                  [20] Morande, S., Tewari, V., & Gul, K. (2022).
               [11] Morande, S. (2022). Enhancing psychosomatic      Reinforcing Positive Cognitive States with
                  health using artificial intelligence-based treatment   Machine Learning: An Experimental Modeling for
                  protocol: A data science-driven approach.          Preventive Healthcare. In P. A. E. Onal (Ed.),
                  International Journal of Information Management    Healthcare Access - New Threats, New
                  Data Insights, 2(2), 100124.                       Approaches (Ch. 24). IntechOpen.
                  https://doi.org/10.1016/j.jjimei.2022.100124       https://doi.org/10.5772/intechopen.108272
               [12] Parmar, P., Ryu, J., Pandya, S., Sedoc, J., &   [21] Welbl, J., Glaese, A., Uesato, J., Dathathri, S.,
                  Agarwal, S. (2022). Health-focused conversational   Mellor, J., Hendricks, L. A., Anderson, K., Kohli,
                  agents in person-centered care: a review of apps.   P., Coppin, B., & Huang, P.-S. (2021). Challenges
                  npj Digital Medicine, 5(1), 1–9.                   in detoxifying language models. arXiv.
                  https://doi.org/10.1038/s41746-022-00560-6         https://doi.org/10.48550/arXiv.2109.07445

               [13] Mashiata, M., Choi, G. J., Choi, J. W., Ahn, J. H.,   [22] d'Avila Garcez, A., & Lamb, L. C. (2020).
                  Kim, J. H., Jeong, S. Y., Jung, H. K., Kim, D.-H.,   Neurosymbolic AI: The 3rd Wave. arXiv.
                  Lee, S. H., & Park, J.-U. (2022). Towards assisting   https://doi.org/10.48550/arXiv.2012.05876
                  visually impaired individuals: A review on current
                  status and future prospects. Biosensors and     [23] Bonatti, P., Decker, S., Polleres, A., & Presutti, V.
                  Bioelectronics: X, 12, 100265.                     (2019). Knowledge Graphs: New Directions for
                  https://doi.org/10.1016/j.biosx.2022.100265        Knowledge Representation on the Semantic Web
                                                                     (Dagstuhl Seminar 18371). Dagstuhl Reports,
               [14] Mele, C., Marzullo, M., Morande, S., & Spena, R.   8(9), 29–111.
                  (2021). How Artificial Intelligence Enhances       https://doi.org/10.4230/DagRep.8.9.29
                  Human Learning Abilities: Opportunities in the
                  Fight Against COVID-19. 3962(February), 1–13.   [24] Verma, S., Bhatia, R., Harit, S., & Batish, S.
                                                                     (2023). Scholarly knowledge graphs through
               [15] Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit,   structuring scholarly communication: a review.
                  J., Jones, L., Gomez, A. N., Kaiser, Ł., &         Complex & Intelligent Systems, 9(1), 1059–1095.
                  Polosukhin, I. (2017). Attention is all you need.   https://doi.org/10.1007/s40747-022-00806-6
                  Advances in Neural Information Processing
                  Systems, 30.                                    [25] Lewis, P., Perez, E., Piktus, A., Petroni, F.,
                                                                     Karpukhin, V., Goyal, N., Küttler, H., Lewis, M.,
               [16] Devlin, J., Chang, M.-W., Lee, K., & Toutanova,   Yih, W.-t., Rocktäschel, T., Riedel, S., & Kiela, D.
                  K. (2018). BERT: Pre-training of deep              (2020). Retrieval-augmented generation for
                  bidirectional transformers for language            knowledge-intensive NLP tasks. Advances in
                  understanding. arXiv.                              Neural Information Processing Systems, 33.
                  https://doi.org/10.48550/arXiv.1810.04805
                                                                  [26] Hilton, J., Nakano, R., Balaji, S., & Schulman, J.
               [17] Raffel, C., Shazeer, N., Roberts, A., Lee, K.,   (2021). WebGPT: Improving the factual accuracy
                  Narang, S., Matena, M., Zhou, Y., Li, W., & Liu,   of language models through web browsing.
                  P. J. (2020). Exploring the limits of transfer     OpenAI Blog.
                  learning with a unified text-to-text transformer.
                  Journal of Machine Learning Research, 21(140),   [27] Wu, T., Terry, M., & Cai, C. J. (2022). AI Chains:
                  1–67.                                              Transparent and Controllable Human-AI
                                                                     Interaction by Chaining Large Language Model
               [18] Lee, D., Yeung, S. K., Choi, K., Merchant, Z.,   Prompts. Proceedings of the 2022 CHI Conference
                  Chiu, M. M., & Lim, J. (2024). The impact of       on Human Factors in Computing Systems.
                  generative AI on higher education learning and     https://doi.org/10.1145/3491102.3517582





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