The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Generative AI and the Future of Democratic Citizenship
Abstract
Generative Artificial Intelligence (AI) technologies have the potential to be socially and politically transformative. In this article, we focus on exploring the potential impacts that Generative AI could have on the functioning of our democracies and the nature of citizenship. We do so by drawing on accounts of deliberative democracy and the deliberative virtues associated with it, as well as the reciprocal impacts that social media and Generative AI will have on each other and the broader information landscape. Drawing on this background theory, we outline some of the key positive and negative impacts that Generative AI is likely to have on democratic citizenship. The political significance of these impacts suggests the need for further regulation.
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“In fact, the 2024 World Economic Forum report finds that GenAI's role in creating realistic yet fabricated content, such as campaign videos, could lead to severe consequences, ranging from protests to radicalization, challenging the integrity of democratic processes (Formosa et al., 2024) and the stability of societies globally (World Economic Forum, 2024).”
From Exploring the Challenges of Generative AI on Public Sector Communication in Europe (2025) · cites this paper as Formosa et al., 2024
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“This approach ensures that GenAI serves as an aid rather than a substitute for human expertise in public sector communication, due to the strategic role this function plays in the democratic debate (Formosa et al., 2024).”
From Exploring the Challenges of Generative AI on Public Sector Communication in Europe (2025) · cites this paper as Formosa et al., 2024
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Cites
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018) · Minds and Machines · doi:10.1007/s11023-018-9482-5 · Cited by 4,774 · cited 1×
“In terms of replacement through automation, AI promises to relieve us of the “drudgery” of completing mundane and low value tasks [ 25 ], such as composing routine emails or simple social media posts, which could free up the time and attentional resources of citizens to focus on higher value…”
A SWOT analysis of ChatGPT: Implications for educational practice and research
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2195846 · Cited by 1,384
Generative AI and ChatGPT: applications, challenges, and AI-human collaboration
Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023) · Journal of Information Technology Case and Application Research · doi:10.1080/15228053.2023.2233814 · Cited by 1,363
Wach, K., Duong, C. D., Ejdys, J., Kazlauskaitė, R., Korzynski, P., Mazurek, G., Paliszkiewicz, J., & Ziemba, E. (2023) · Entrepreneurial Business and Economics Review · doi:10.15678/eber.2023.110201 · Cited by 584 · cited 1×
“Furthermore, Wach et al. [ 72 ] argue that as Generative AI models develop the capabilities to produce outputs which appear human-like, there is a heightened risk that this content will be relied upon and used for deliberation without critical evaluation or verification of the information.”
Benchmarking Large Language Models in Retrieval-Augmented Generation
Chen, J., Lin, H., Han, X., & Sun, L. (2023) · arXiv · doi:10.48550/arxiv.2309.01431 · Cited by 455
Benchmarking Large Language Models in Retrieval-Augmented Generation
Chen, J., Lin, H., Han, X., & Sun, L. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i16.29728 · Cited by 454
Chatbots: Security, privacy, data protection, and social aspects
Hasal, M., Nowaková, J., Ahmed Saghair, K., Abdulla, H., Snášel, V., & Ogiela, L. (2021) · Concurrency and Computation: Practice and Experience · doi:10.1002/cpe.6426 · Cited by 249
Andrejevic, M. (2019) · doi:10.4324/9780429242595 · Cited by 217
AI and the future of humanity: ChatGPT-4, philosophy and education – Critical responses
Peters, M. A., Jackson, L., Papastephanou, M., Jandrić, P., Lazaroiu, G., Evers, C. W., Cope, B., Kalantzis, M., Araya, D., Tesar, M., et al. (2024) · Educational Philosophy and Theory · doi:10.1080/00131857.2023.2213437 · Cited by 188
Argyle, L. P., Bail, C. A., Busby, E. C., Gubler, J. R., Howe, T., Rytting, C., Sorensen, T., & Wingate, D. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2311627120 · Cited by 144
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Cited by
Exploring the Challenges of Generative AI on Public Sector Communication in Europe
Lovari, A., & De Rosa, F. (2025) · Media and Communication · doi:10.17645/mac.9644 · Cited by 22
Metadata
- Authors
- Formosa, P., Kashyap, B., & Sahebi, S.
- Affiliations
- Philosophy, Macquarie University
- Venue
- Digital Government: Research and Practice
- Published
- 2025-06-15
- Volume
- 6
- Issue
- 2
- Pages
- 1-10
- ISSN
- 2691-199X
- 2639-0175
- Cited by
- 15
- References
- 12
- Language
- en
- Funders
- Australian Government Research Training Program Scholarship
- International Macquarie Research Excellence Scholarship
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