Will Democracy Survive Big Data and Artificial Intelligence?
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The use of AI in public administration is riddled with ethical tensions such as fairness, transparency, privacy, and human rights.
“The use of AI in public administration is riddled with ethical tensions such as questions of fairness, transparency, privacy, and human rights (Ashok, Madan, Joha, & Sivarajah, 2022;Helbing et al., 2019;Kuziemski & Misuraca, 2020).”
From AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2023) · cites this paper as Helbing et al., 2019
Smart devices with measuring sensors are on the rise.
“Smart devices with measuring sensors are on the rise [117].”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [117]
Cites
Human-level control through deep reinforcement learning
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al. (2015) · Nature · doi:10.1038/nature14236 · Cited by 30,357 · see citing works
Handbook of Ethics, Values, and Technological Design
van den Hoven, J., Vermaas, P. E., & van de Poel, I. (2015) · Springer eBooks · doi:10.1007/978-94-007-6970-0 · Cited by 314 · see citing works
On the Supposed Evidence for Libertarian Paternalism
Gigerenzer, G. (2015) · Review of Philosophy and Psychology · doi:10.1007/s13164-015-0248-1 · Cited by 247 · see citing works
Self-citationHealth Data Cooperatives – Citizen Empowerment
Kossmann, D., Brand, A. M., & Hafen, E. (2014) · Methods of Information in Medicine · doi:10.3414/me13-02-0051 · Cited by 113 · see citing works
Self-citationSociety: Build digital democracy
Helbing, D., & Pournaras, E. (2015) · Nature · doi:10.1038/527033a · Cited by 97 · see citing works
Self-citationThinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society
Helbing, D. (2015) · Springer eBooks · doi:10.1007/978-3-319-15078-9 · Cited by 86 · see citing works
Self-citationThe Automation of Society is Next: How to Survive the Digital RevolutionPreprint
Helbing, D. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2694312 · Cited by 71 · see citing works
Self-citationHarris, S. (2014) · Foreign Policy · Cited by 9 · see citing works
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The role of artificial intelligence in achieving the Sustainable Development Goals
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020) · Nature Communications · doi:10.1038/s41467-019-14108-y · Cited by 3,294 · see citing works
Artificial Intelligence and Management: The Automation–Augmentation Paradox
Raisch, S., & Krakowski, S. (2021) · Academy of Management Review · doi:10.5465/amr.2018.0072 · Cited by 2,755 · see citing works
Stephanidis, C., Salvendy, G., Antona, M., Chen, J. Y. C., Dong, J., Duffy, V. G., Fang, X., Fidopiastis, C., Fragomeni, G., Fu, L. P., et al. (2019) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2019.1619259 · Cited by 524 · see citing works
Madan, R., & Ashok, M. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2022.101774 · Cited by 468 · see citing works
Rahman, A., Hossain, M. S., Muhammad, G., Kundu, D., Debnath, T., Rahman, M., Khan, M. S. I., Tiwari, P., & Band, S. S. (2023) · Cluster Computing · doi:10.1007/s10586-022-03658-4 · Cited by 399 · see citing works
Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation
Stahl, B. C., & Wright, D. (2018) · IEEE Security & Privacy · doi:10.1109/msp.2018.2701164 · Cited by 374 · see citing works
An integrated artificial intelligence framework for public management
Wirtz, B. W., & Müller, W. M. (2019) · Public Management Review · doi:10.1080/14719037.2018.1549268 · Cited by 285 · see citing works
Z-Inspection <sup>®</sup> : A Process to Assess Trustworthy AI
Zicari, R. V., Brodersen, J., Brusseau, J., Dudder, B., Eichhorn, T., Ivanov, T., Kararigas, G., Kringen, P., McCullough, M., Moslein, F., et al. (2021) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2021.3066209 · Cited by 134 · see citing works
Self-citationApplications of AI in classical software engineering
Barenkamp, M., Rebstadt, J., & Thomas, O. (2020) · AI Perspectives · doi:10.1186/s42467-020-00005-4 · Cited by 123 · see citing works
Adopting AI: how familiarity breeds both trust and contempt
Horowitz, M. C., Kahn, L., Macdonald, J., & Schneider, J. (2024) · AI & SOCIETY · doi:10.1007/s00146-023-01666-5 · Cited by 135 · see citing works
- Authors
- Helbing, D., Frey, B. S., Gigerenzer, G., Hafen, E., Hagner, M., Hofstetter, Y., van den Hoven, J., Zicari, R. V., & Zwitter, A.
- Affiliations
- ETH Zurich (CH)
- University of Basel (CH)
- Max Planck Institute for Human Development (DE)
- Goethe University Frankfurt (DE)
- University of Groningen (NL)
- Corresponding author
- Helbing, Dirk
- Venue
- Towards Digital Enlightenment
- Publisher
- Springer International Publishing
- Published
- 2018-08-28
- Pages
- 73-98
- OpenAlex
- W2598702997
- Cited by
- 355
- References
- 8
- Citations by year
- 2026: 19 · 2025: 21 · 2024: 38 · 2023: 39 · 2022: 40 · 2021: 48 · 2020: 53 · 2019: 43 · 2018: 42 · 2017: 12
- FWCI
- 282.36
- Type
- book chapter
- Language
- en
- Open access
- green
- research.rug.nl
- Licence
- Locations
- Springer eBooks (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Political Science and International Relations › Political Theory and Democracy
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- democracy, big data, artificial intelligence, technological change, Enlightenment, political decision-making, societal transformation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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