ICTlogy

Ada Lovelace Institute, AI Now Institute & Open Government Partnership (2021). Algorithmic Accountability for the Public Sector. London: Ada Lovelace Institute, AI Now Institute, Open Government. Retrieved March 25, 2025 from https://www.opengovpartnership.org/documents/algorithmic-accountability-public-sector/

Ada Lovelace Institute (2022). NMIP algorithmic impact assessment User guide. London: Ada Lovelace Institute. Retrieved April 11, 2025 from https://www.adalovelaceinstitute.org/wp-content/uploads/2022/02/Algorithmic-impact-assessment-user-guide.pdf

Agencia Tributaria (2024). Estrategia de Inteligencia Artificial. Madrid: Agencia Tributaria. Retrieved June 24, 2024 from https://sede.agenciatributaria.gob.es/static_files/AEAT_Intranet/Gabinete/Estrategia_IA.pdf

Ahrweiler, P. (2025). Participatory Artificial Intelligence in Public Social Services. From Bias to Fairness in Assessing Beneficiaries. Cham: Springer.

AI Now Institute (2018). Algorithmic Accountability Policy Toolkit. New York: AINOW. Retrieved January 26, 2019 from https://ainowinstitute.org/publication/algorithmic-accountability-policy-toolkit

AI Now Institute (2025). Artificial Power: 2025 Landscape Report. New York: AINOW. Retrieved June 03, 2025 from https://ainowinstitute.org/wp-content/uploads/2025/06/FINAL-20250602_AINowLandscapeReport_Full.pdf

AI Policymaker Network, Deutsche Gesellschaft für Internationale Zusammenarbeit & FAIR Forward (2025). AI Policy Playbook. Navigating AI Policy Development through an African and Asian Lens. Bonn: Deutsche Gesellschaft für Internationale Zusammenarbeit. Retrieved June 05, 2025 from https://www.bmz-digital.global/wp-content/uploads/2025/05/AI-Playbook-2025-WEB-1.pdf

Ajuntament de Barcelona (2022). Definició de metodologies de treball i protocols per a la implementació de sistemes algorítmics. Llibre blanc. Barcelona: Ajuntament de Barcelona. Retrieved March 25, 2025 from http://hdl.handle.net/11703/128042

Ametic (2025). IA al Servicio de la Administración Pública Local. Madrid: Ametic. Retrieved March 04, 2025 from https://ametic.es/wp-content/uploads/2025/02/PPT-Whitepaper-IA_V11.pdf

Artigot i Golobardes, M., Grasso, G., Iamiceli, P. & Maugeri, M.R. (Eds.) (2024). Artificial intelligence, judicial decision-making and fundamental rights. Firenze: Scuola Superiore della Magistratura. Retrieved June 20, 2025 from https://www.julia-project.eu/sites/default/files/2025-02/JuLIA_handbook_Justice_final.pdf

Association for Progressive Communications, Article 19 & Swedish International Development Cooperation Agency (2019). Global Information Society Watch 2019. Artificial Intelligence: Human Rights, Social Justice and Development. [online]: APC, Article 19, SIDA. Retrieved December 03, 2022 from https://www.giswatch.org/sites/default/files/gisw2019_artificial_intelligence.pdf

Autio, C., Cummings, K., Elliott, B.S. & Noveck, B.S. (2023). A Snapshot of Artificial Intelligence Procurement Challenges. New York: The GovLab. Retrieved April 03, 2025 from https://files.thegovlab.org/a-snapshot-of-ai-procurement-challenges-june2023.pdf

Barbrook-Johnson, P. & Penn, A.S. (2022). Systems Mapping. How to build and use causal models of systems. Cham: Palgrave Macmillan. Retrieved March 03, 2023 from https://doi.org/10.1007/978-3-031-01919-7

Berditchevskaia, A., Malliaraki, E. & Peach, K. (2020). Participatory AI for humanitarian innovation: a briefing paper. London: Nesta. Retrieved April 23, 2025 from https://www.nesta.org.uk/documents/2487/Nesta_Participatory_AI_for_humanitarian_innovation_Final.pdf

Berditchevskaia, A. & Baeck, P. (2020). The Future of Minds and Machines: How artificial intelligence can enhance collective intelligence. London: Nesta. Retrieved April 23, 2025 from https://www.nesta.org.uk/documents/1824/FINAL_The_future_of_minds_and_machines.pdf

Bono Roselló, N., Simonofski, A. & Castiaux, A. (2020). “Artificial intelligence for digital citizen participation: Design principles for a collective intelligence architecture”. In Government Information Quarterly, 39 (3). London: Elsevier. Retrieved March 08, 2025 from https://doi.org/10.1016/j.giq.2025.102020

Bradley, C., Wingfield, R. & Metzger, M. (2020). National Artificial Intelligence Strategies and Human Rights: A Review. London, Stanford: Global Partners Digital, Global Digital Policy Incubator. Retrieved April 22, 2020 from https://www.gp-digital.org/wp-content/uploads/2020/04/National-Artifical-Intelligence-Strategies-and-Human-Rights—A-Review_.pdf

Brufau i Centelles, A., Sabater Coll, A., Gisbert Cervera, M., Ametller Leal, J. & Lillo Campoy, A. (2025). El Model PIO (Principis, Indicadors i Observables) Educació: Un enfocament d’autoavaluació per al compliment dels estàndards ètics i normatius aplicables al sistemes d’intel·ligència artificial en l’àmbit de l’educació dades i sistemes d’intel·ligència artificial en l’àmbit de l’educació. Girona: OEIAC. Retrieved June 14, 2025 from https://dugi-doc.udg.edu/bitstream/handle/10256/26884/9788484586777.pdf?sequence=1&isAllowed=y

Cardona Valles, M., Hernández Hidalgo, P., Peguera Poch, M. & Ruiz Martín, A.M. (Eds.) (2024). Desafíos actuales de la Inteligencia Artificial. Actas del XIX Congreso IDP 2024 (Internet, Derecho y Política). Barcelona: Edicions MIC. Retrieved February 25, 2025 from https://editorialmic.com/uoc/desafios-actuales-de-la-inteligencia-artificial/files/assets/common/downloads/Desafíos actuales de la Inteligencia Artificial.pdf?uni=1b81427981e524853828fc938ae0343c

Centre for AI and Digital Policy (2025). AI and Democratic Values Index 2025. A comprehensive review of AI policies and practices worldwide. Washington DC: Centre for AI and Digital Policy. Retrieved April 15, 2025 from https://s899a9742c3d83292.jimcontent.com/download/version/1743613077/module/8557711863/name/AIandDemocraticValuesIIndex%28CAIDP2025%29.pdf

Cerezo Peco, F. (2021). “La innovación orientada a misiones que mejoran la vida de las personas”. In Ramió Matas, C. (Coord.), Repensando la Administración pública. Administración digital e innovación pública, Capítulo 13, 365-404. Madrid: Instituto Nacional de Administración Pública.

Cerrillo i Martínez, A., Bousta, R., Galindo Caldés, R. & Velasco Rico, C.I. (2020). La personalització dels serveis públics: la contribució de la intel·ligència artificial i les dades massives. EAPC Treballs de recerca, 2018. Barcelona: Escola d'Administració Pública de Catalunya. Retrieved October 19, 2020 from http://eapc.gencat.cat/web/.content/home/recerca/Convocatories_de_recerca/subvencions_a_la_realitzacio_de_treballs_de_recerca/2018/Treballs_complets/TR_cerrillo_personalitzacio-de-serveis-publics_accessible.pdf

Cerrillo i Martínez, A., Bousta, R., Galindo Caldés, R. & Velasco Rico, C.I. (2021). Guia per a la personalització dels serveis públics a través de la intel·ligència artificial. Estudis de Recerca Digitals, núm. 19. Barcelona: Escola d'Administració Pública de Catalunya. Retrieved July 08, 2021 from http://eapc.gencat.cat/web/.content/home/publicacions/col_leccio_estudis_de_recerca_digital/19_Guia_personalitzacio_servei_public/Estudis-Recerca_19_DEF.pdf

CLAD (2023). Carta Iberoamericana de Inteligencia Artificial en la Administración Pública. Lima: CLAD. Retrieved November 27, 2023 from https://clad.org/wp-content/uploads/2023/11/CIIA-ES-11-2023.pdf

Colombi Ciacchi, A., Flórez Rojas, M.L., Lane, L. & Nowak, T. (Eds.) (2025). AI and Public Administration: The (legal) limits of algorithmic governance. Firenze: Scuola Superiore della Magistratura. Retrieved June 20, 2025 from https://www.julia-project.eu/sites/default/files/2025-05/Final%20Handbook_%20AI%20and%20Public%20Administration_%20The%20%28legal%29%20limits%20of%20algorithmic%20governance.docx.pdf

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. Retrieved March 24, 2025 from https://doi.org/10.1145/3617694.3623228

Cortés Abad, Ó. (2023). El reto de la IA en las AAPP: equilibrios entre tecnología y ciudadanía. Conferencia en el X Congreso NovaGob de Innovación Pública, 8 de noviembre de 2023. Madrid: Novagob.

Costanza-Chock, S., Raji, I.D. & Buolamwini, J. (2022). “Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem”. In Association for Computing Machinery (Ed.), FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 1571-1583. New York: Association for Computing Machinery. Retrieved April 06, 2025 from https://doi.org/10.1145/3531146.3533213

Council of Europe (2024). Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law. Council of Europe Treaty Series - No. 225. Strasbourg: Council of Europe. Retrieved November 15, 2025 from https://rm.coe.int/1680afae3c

Council of Europe (2024). Methodology for the Risk and Impact Assessment of Artificial Intelligence Systems from the point of view of Human Rights, Democracy and the Rule of Law (HUDERIA Methodology). CAI(2024)16rev2. Strasbourg: Council of Europe. Retrieved March 30, 2025 from https://rm.coe.int/cai-2024-16rev2-methodology-for-the-risk-and-impact-assessment-of-arti/1680b2a09f

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. Retrieved December 13, 2024 from https://doi.org/10.1177/09520767241272921

de Fine Licht, K. (2025). “Resolving value conflicts in public AI governance: A procedural justice framework”. In Government Information Quarterly, 42 (2). London: Elsevier. Retrieved May 14, 2025 from https://doi.org/10.1016/j.giq.2025.102033

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. Retrieved April 15, 2025 from https://doi.org/10.1145/3617694.3623261

Department of Public Expenditure, NDP Delivery and Reform (2025). Guidelines for the Responsible Use of AI in the Public Service. Dublin: Government of Ireland. Retrieved May 11, 2025 from https://assets.gov.ie/static/documents/Guidelines_for_the_Responsible_Use_of_AI_in_the_Public_Service.pdf

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. Retrieved March 24, 2025 from https://doi.org/10.1109/RE.2019.00013

Dunleavy, P. & Margetts, H. (2024). “Data science, artificial intelligence and the third wave of digital era governance”. In Public Policy and Administration, First published online August 14, 2024. London: SAGE Publications. Retrieved December 16, 2024 from https://doi.org/10.1177/09520767231198737

Durham, E., Baker, H., Smith, M., Moore, E. & Morgan, V. (2014). The BiodivERsA Stakeholder Engagement Handbook. Paris: BiodivERsA. Retrieved October 24, 2021 from https://www.biodiversa.org/705/download

Eaves, D., Mazzucato, M. & Vasconcellos, B. (2024). Digital public infrastructure and public value: What is ‘public’ about DPI?. UCL Institute for Innovation and Public Purpose, Working Paper Series (IIPP WP 2024-05). London: UCL Institute for Innovation and Public Purpose. Retrieved March 28, 2024 from https://www.ucl.ac.uk/bartlett/public-purpose/wp2024-05

Eaves, D. & Rao, K. (2025). Digital Public Infrastructure: a framework for conceptualisation and measurement. UCL Institute for Innovation and Public Purpose, Working Paper Series (IIPP WP 2025-01). London: UCL Institute for Innovation and Public Purpose. Retrieved March 04, 2025 from https://www.ucl.ac.uk/bartlett/public-purpose/wp2025-01

Eaves, D., Coyle, D., Vasconcellos, B. & Deshmukh, S. (2025). The Economics of Shared Digital Infrastructures: A framework for assessing societal value. UCL Institute for Innovation and Public Purpose. IIPP Policy Report No. 2025/02. London: UCL Institute for Innovation and Public Purpose. Retrieved March 04, 2025 from https://www.ucl.ac.uk/bartlett/publications/2025/mar/economics-shared-digital-infrastructures

Ernst & Young (2020). Inteligencia Artificial en el Sector Público. Madrid: Microsoft. Retrieved December 02, 2020 from https://info.microsoft.com/rs/157-GQE-382/images/ES-CNTNT-eBook-SRGCM3981-v2.pdf

European Commission & Mazzucato, M. (2018). Mission-oriented research & innovation in the European Union – A problem-solving approach to fuel innovation-led growth. Brussels: Publications Office of the European Union. Retrieved March 26, 2024 from https://data.europa.eu/doi/10.2777/360325

European Commission, Chicot, J., Kuittinen, H. & Lykogianni, E. (2018). Mission-oriented research and innovation – Assessing the impact of a mission-oriented research and innovation approach – Final report. Brussels: Publications Office of the European Union. Retrieved March 26, 2024 from https://op.europa.eu/o/opportal-service/download-handler?identifier=3b46ce3f-5338-11e8-be1d-01aa75ed71a1&format=pdf&language=en&productionSystem=cellar&part=

European Commission & Mazzucato, M. (2019). Governing Missions in the European Union. Brussels: Publications Office of the European Union. Retrieved March 26, 2024 from https://data.europa.eu/doi/10.2777/618697

European Commission (2020). White paper on Artificial Intelligence. A European approach to excellence and trust. COM(2020) 65 final. Brussels: European Commission. Retrieved March 21, 2025 from https://commission.europa.eu/document/download/d2ec4039-c5be-423a-81ef-b9e44e79825b_en?filename=commission-white-paper-artificial-intelligence-feb2020_en.pdf

European Commission (2025). 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. Retrieved April 11, 2025 from https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52025DC0165

European Commission (2025). Model Contractual Clauses for the public procurement of AI (MCC-AI). Version February 2025 – Commentary. Brussels: European Commission. Retrieved March 24, 2025 from https://public-buyers-community.ec.europa.eu/system/files/2025-03/20250228 Commentary 2_final.pdf

European Commission (2025). Model contractual clauses for the public procurement of High-Risk AI (‘MCC-AI-High-Risk’). Version February 2025 – Procurement of High-Risk AI. Brussels: European Commission. Retrieved March 24, 2025 from https://public-buyers-community.ec.europa.eu/system/files/2025-03/20250228%20Model%20Clauses%20High%20Risk%20AI%202_final.docx

European Commission (2025). Model contractual clauses for the public procurement of Non-High-Risk AI (‘MCC-AI-High-Light’). Version February 2025 – Procurement of Non-High-Risk AI. Brussels: European Commission. Retrieved March 24, 2025 from https://public-buyers-community.ec.europa.eu/system/files/2025-03/20250226%20Model%20Clauses%20Light%20Version_proofread.docx

European Parliament (2024). Artificial intelligence act. Briefing 02-09-2024. Brussels: European Parliament. Retrieved March 08, 2025 from https://www.europarl.europa.eu/RegData/etudes/BRIE/2021/698792/EPRS_BRI(2021)698792_EN.pdf

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