Augmenting research methods with foundation models and generative AI

Author:

Rossi Sippo,Rossi Matti,Mukkamala Raghava Rao,Thatcher Jason Bennett,Dwivedi Yogesh K.

Publisher

Elsevier BV

Reference57 articles.

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2. Bender, E.M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, New York, NY, USA, 2021, pp. 610–623. FAccT ’21. Association for Computing Machinery. Available at: https://doi.org/10.1145/3442188.3445922.

3. Bommasani, R., Hudson, D.A., Adeli, E., et al. (2022). On the Opportunities and Risks of Foundation Models (arXiv:2108.07258). arXiv. Available at: https://doi.org/10.48550/arXiv.2108.07258 (accessed 7 March 2023).

4. The value of AI guidance in human examination of synthetically-generated faces;Boyd;Proceedings of the AAAI Conference on Artificial Intelligence,2023

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