Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies
Open accessAbstract
Recent advances in Artificial Intelligence (AI) have led to intense debates about benefits and concerns associated with this powerful technology. These concerns and debates have similarities with developments in other emerging technologies characterized by prominent impacts and uncertainties. Against this background, this paper asks, What can AI governance, policy and ethics learn from other emerging technologies to address concerns and ensure that AI develops in a socially beneficial way? From recent literature on governance, policy and ethics of emerging technologies, six lessons are derived focusing on inclusive governance with balanced and transparent involvement of government, civil society and private sector; diverse roles of the state including mitigating risks, enabling public participation and mediating diverse interests; objectives of technology development prioritizing societal benefits; international collaboration supported by science diplomacy, as well as learning from computing ethics and Responsible Innovation.
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Governance of emerging technologies is a highly complex endeavour.
“'[g]overnance of emerging technologies is a highly complex endeavour' (Ulnicane et al. 2021, 85).”
From Exploring artificial intelligence adoption in public organizations: a comparative case study (2024) · cites this paper as Ulnicane et al. 2021
AI governance varies across academic and policy contexts.
“There is a call for a unified understanding of AI governance, which varies across academic and policy contexts (Ulnicane et al., 2021, p. 78;Zuiderwijk et al., 2021).”
From Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation (2024) · cites this paper as Ulnicane et al., 2021
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Tendencias actuales en investigación sobre innovación en ciencias sociales: un estudio bibliométrico
Ramos, P. F. A., & Almeida, P. M. (2023) · TECHNO REVIEW International Technology Science and Society Review /Revista Internacional de Tecnología Ciencia y Sociedad · doi:10.37467/revtechno.v14.4826 · Cited by 1 · see citing works
Contextualisation of Relational AI Governance in Existing Research
Wiesmüller, S. (2023) · Relational economics and organization governance · doi:10.1007/978-3-031-25023-1_4
Politics Versus Reality: The African State and Governance Post-COVID-19
Arthur, P. (2023) · International political economy series · doi:10.1007/978-3-031-32164-1_3
Bolívar, M. P. R., Muñoz, L. A., & Marín, M. M. (2024) · Annual International Conference on Digital Government Research · doi:10.1145/3657054.3657255
Optimizing Data Interoperability: An Approach Towards Unified Employment Data in Indonesia
Wahyuni, H., Mutiarin, D., Pribadi, U., Ismail, N. S. A., Purnomo, E. P., Nurmandi, A., Kumorotomo, W., & Ahdarrijal, Y. (2024) · SHS Web of Conferences · doi:10.1051/shsconf/202420402002
Forschungsintegrität in aufkommenden Technologien: Geneditierung und KI-Forschung in der Medizin
Redman, B. K. (2025) · Springer eBooks · doi:10.1007/978-3-031-92469-9_9
E-Governance Services Using AI
Maylasari, H., Rakhma, N. A., & Roziqin, A. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3760-9.ch004
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Nisha, A. R., Subramani, A. K., & Harini, S. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3436-3.ch018
Future Directions and Policy Implications: AI in Higher Education
Jasim, O. M., Baranwal, P., Aggarwal, N., Nandy, A., Saxena, G. J., Pundir, A., & Singh, S. (2026) · Springer eBooks · doi:10.1007/978-981-95-5350-1_6
AI transformation in the public sector: Findings from a case study in Sweden
Peretz-Andersson, E., Parida, V., Mikalef, P., & Riveiro, M. (2026) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2026.100419
Tuğaç, Ç. (2026) · İstanbul Üniversitesi Sosyoloji Dergisi / İstanbul University Journal of Sociology · doi:10.26650/sj.2026.46.1.1159
Barbosa, L. V. F., & Prestes, E. (2026) · Springer eBooks · doi:10.1007/978-3-032-12201-8_49
Akram, H., Li, J., Asdullah, M. A., Rasheed, T., & Subhani, I. U. H. (2026) · Sustainable Development · doi:10.1002/sd.71558
Ethics Before Algorithms: A Framework for AI-Driven Corporate Transparency
Bình, N. T. T. (2026) · AI · doi:10.3390/ai7090326
Whose responsibility? Deconstructing global responsible AI from the African lens: a review
Eke, D., Nkwo, M. S., Jaja, I. R., Adamu, M. S., Akintoye, S., Ugom, M. K., & Kiden, S. (2026) · AI and Ethics · doi:10.1007/s43681-026-01418-3
Self-citation
- Authors
- Ulnicane, I., Eke, D. O., Knight, W., Ogoh, G., & Stahl, B. C.
- Affiliations
- De Montfort University (GB)
- Corresponding author
- Ulnicane, Inga
- Venue
- Interdisciplinary Science Reviews
- Publisher
- SAGE Publications
- Published
- 2021-03-07
- Volume
- 46
- Issue
- 1-2
- Pages
- 71-93
- ISSN
- 0308-0188 (ISSN-L)
- 1743-2790
- OpenAlex
- W3134361883
- Cited by
- 70
- References
- 72
- Citations by year
- 2026: 12 · 2025: 9 · 2024: 17 · 2023: 13 · 2022: 15 · 2021: 3 · 2020: 1
- FWCI
- 15.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Interdisciplinary Science Reviews (publishedVersion, cc-by-nc-nd)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by-nc-nd)
- DMU Open Research Archive (De Montfort University) (submittedVersion, cc-by-nc)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, other-oa)
- Funders
- Horizon 2020 Framework Programme
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Sociology and Political Science › Innovation, Technology, and Society
- Keywords
- AI governance, emerging technologies, inclusive governance, ethics of technology, responsible innovation, science diplomacy, international cooperation, citizen participation, social benefits, risk mitigation, computer ethics
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