Final Thoughts: Digital Humanities Looking at Generative AI

Author:

Aguiar Micaela,Araújo Sílvia

Publisher

Springer Nature Switzerland

Reference50 articles.

1. Aydın, Ö., and E. Karaarslan. ‘Is ChatGPT Leading Generative AI? What Is Beyond Expectations?’ SSRN Electronic Journal, 2023. https://doi.org/10.2139/ssrn.4341500.

2. Weizenbaum, J. ‘How to Make a Computer Appear Intelligent’. Datamation 7 (1961): 24–26.

3. Goodfellow, I., J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, and Y. Bengio. ‘Generative Adversarial Nets’. In Advances in Neural Information Processing Systems (NIPS), Edited by Curran Associates, Inc, 2672–80. Red Hook, NY, USA: Curran Associates, Inc, 2014.

4. Alqahtani, H., M. Kavakli-Thorne, and G. Kumar. ‘Applications of Generative Adversarial Networks (GANs): An Updated Review’. Archives of Computational Methods in Engineering 28 (2021): 525–52. https://doi.org/10.1007/s11831-019-09388-y.

5. Kingma, Diederik P., and Max Welling. ‘Auto-Encoding Variational Bayes’, 2013. http://arxiv.org/abs/1312.6114.

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