I am collaborating with ParticipationAI on finding out what would be an ideal model of stakeholder engagement in the life-cycle of public procurement of Artificial Intelligence.
So far, I’ve put together a collection of works related with AI in public Administration, in a very broad sense. Here it comes. All suggestions are welcome.
Working bibliography
Centre for AI and Digital Policy
AI and Democratic Values Index 2025. A comprehensive review of AI policies and practices worldwide. Washington DC: Centre for AI and Digital Policy.
Corbett, E., Denton, E. & Erete, S. (2023).
Power and Public Participation in AI. EAAMO '23: Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimizatio. New York: Association for Computing Machinery.
Criado, J.I., Sandoval-Almazan, R. & Gil-García, J.R. (2024). “
Artificial intelligence and public administration: Understanding actors, governance, and policy from micro, meso, and macro perspectives”. In
Public Policy and Administration, First published online August 14, 2024. London: SAGE Publications.
Delgado, F., Yang, S., Madaio, M. & Yang, Q. (2023). “
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice”. In Association for Computing Machinery (Ed.),
EAAMO '23: Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Article No.: 37, 1 – 23. New York: Association for Computing Machinery.
Duboc, L., Betz, S., Penzenstadler, B., Kocak, S.A., Chitchyan, R. & Leifler, O. (2019).
Do we Really Know What we are Building? Raising Awareness of Potential Sustainability Effects of Software Systems in Requirements Engineering. 2019 IEEE 27th International Requirements Engineering Conference (RE) pp. 6-16. Jeju: IEEE/ACM.
European Commission (2025a).
AI Continent Action Plan. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. COM(2025) 165 final. Brussels: European Commission.
Hintz, A., Dencik, L., Redden, J., Treré, E., Brand, J. & Warne, H. (2022).
Civic Participation in the Datafied Society: Towards Democratic Auditing?. Cardiff: Data Justice Lab.
Lammert, D., Abdullai, L., Betz, S. & Porras, J. (2023). “
Sustainability for Artificial Intelligence Products and Services – Initial How-to for IT Practitioners”. In Bui, T.X. (Ed.),
Proceedings of the 56th Hawaii International Conference on System Sciences, 6570-6579. January 3-6, 2023. Waikoloa Village: University of Hawaii.
Maslej, N., Fattorini, L., Perrault, R., Gil, Y., Parli, V., Kariuki, N., Capstick, E., Reuel, A., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Niebles, J.C., Shoham, Y., Wald, R., Walsh, T., Hamrah, A., Santarlasci, L., Lotufo, J.B., Rome, A., Shi, A. & Oak, S. (2025).
The AI Index 2025 Annual Report. Stanford: AI Index Steering Committee, Institute for Human-Centered AI, Stanford University.
Mitchell, M., Wu, S., Zaldivar, A., Barnes, P., Vasserman, L., Hutchinson, B., Spitzer, E., Raji, I.D. & Gebru, T. (2019). “
Model Cards for Model Reporting”. In Association for Computing Machinery (Ed.),
FAT* '19: Proceedings of the Conference on Fairness, Accountability, and Transparency, 220 – 229. New York: Association for Computing Machinery.
Office for Artificial Intelligence (2020).
Guidelines for AI procurement. A summary of best practice addressing specific challenges of acquiring Artificial Intelligence technologies in government (Version 1.7X). London: Government Digital Service.
Pedreño Muñoz, A., González Gosálbez, R., Mora Illán, T., Pérez Fernández, E.d.M., Ruiz Sierra, J. & Torres Penalva, A. (2024).
La inteligencia artificial en las universidades: retos y oportunidades. Alicante: 1millionbot.
If you need to cite this article in a formal way (i.e. for bibliographical purposes) I dare suggest:
Peña-López, I. (2025) “Working bibliography on public procurement of Artificial Intelligence (updated)” In ICTlogy,
#258, March 2025. Barcelona: ICTlogy.
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