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Abstract

This study maps publication growth, thematic structure, temporal patterns, and collaboration in research on AI governance and algorithmic accountability in public administration. It analyzes 6,088 publications retrieved from Dimensions for 2017-2026 using a structured Boolean query; the bibliographic metadata were exported on 15 September 2026. VOSviewer was used to examine annual publication counts, text-term co-occurrence from titles and abstracts, overlay patterns, and co-authorship among authors, organizations, and countries. For the text map, a threshold of 30 occurrences yielded 483 terms, from which 290 were selected using the 60% most-relevant-terms option and binary counting. The dataset shows the highest publication counts in 2025 and 2026, with 2026 representing a partial year. The text-term map links public administration and the public sector with algorithmic accountability, human oversight, regulation, auditing, privacy, ethics, algorithmic bias, and public trust. The findings portray a multidimensional field connecting technological, legal, institutional, ethical, and societal concerns, while identifying themes that warrant further substantive and empirical study.

Keywords

AI governance; algorithmic accountability; bibliometric analysis; human oversight; public sector; public administration

How to Cite

Citation Format
Asriniati Harahap, A., & Wasillah, A. (2026). Tata Kelola AI dan Akuntabilitas Algoritmik dalam Administrasi Publik: Analisis Bibliometrik. LANCAH: Jurnal Inovasi Dan Tren, 4(2), 1156-1173. https://doi.org/10.35870/ljit.v4i2.8752

References

53 References
  • Aguilar, R. M., Alayon, S., Torres, J. M., & Martin, C. A. (2026). Data-centric AI governance for responsible organizational value evidence from a European public administration. AI & SOCIETY. https://doi.org/10.1007/s00146-026-02978-y
  • Alegría, J. P. (2023). Anotaciones iniciales para una reflexión ética sobre la regulación de la inteligencia artificial en la Unión Europea. Revista De Derecho, 28, e3264. https://doi.org/10.22235/rd28.3264
  • Anguita, P., Bachmann, I., Elórtegui-Gómez, C., Escobar, M. J. C., Faure, A., Ibarra, P., Lara, J., Padilla, F., & Peña, P. (2023). Recomendaciones Para Contrarrestar La Desinformacion en Chile. Informe II. https://doi.org/10.61670/informe-2_2023
  • Baruch, A. P., & Sánchez, E. V. (2021). Cuarta revolución industrial: Gobierno Y buena gobernanza. Revista Latinoamericana De Economía Y Sociedad Digital, 2. https://doi.org/10.53857/alft6819
  • Bell, A., Nov, O., & Stoyanovich, J. (2022). Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance. https://doi.org/10.48550/arxiv.2207.01482
  • Benítez, V. H. G., & Ruvalcaba-Gómez, E. A. (2021). Análisis De las estrategias nacionales de inteligencia artificial en américa latina: estudio de los enfoques de ética y de Derechos Humanos. Revista De Gestión Pública, 10(1), 5–32. https://doi.org/10.22370/rgp.2021.10.1.3151
  • Bravo, Á. A. S. (2020). Marco europeo para una inteligencia artificial basada en las personas. International Journal of Digital Law, 1(1), 65–77. https://doi.org/10.47975/ijdl/1bravo
  • Busuioc, M. (2020). Accountable Artificial Intelligence: Holding algorithms to account. Public Administration Review, 81(5), 825–836. https://doi.org/10.1111/puar.13293
  • Casula, M., & Steinebach, Y. (2025). Implementation Arrangements as Institutions: Assessments and Prospects. Review of Policy Research, 42(2), 154–163. https://doi.org/10.1111/ropr.70004
  • Cernăzanu-Glăvan, C., & Bulzan, A.-Ş. (2025). Explainable AI and fuzzy linguistic interpretation for enhanced transparency in public procurement: Analyzing EU tender awards. Mathematics, 13(13), 2215. https://doi.org/10.3390/math13132215
  • Cevallos-Torres, G., & Vegas-Meléndez, H. (2022). Aportes De La Gobernanza Para Un Nuevo Modelo Post Burocrático. Una Visión Desde La Gestión Pública Local. 593 Digital Publisher Ceit, 7(5–2), 199–216. https://doi.org/10.33386/593dp.2022.5-2.1511
  • Chen, T., Gasco-Hernandez, M., & Gil-Garcia, J. R. (2026). Understanding accountability in ai use within the public sector insights from state governments in the United States. Public Administration. https://doi.org/10.1111/padm.70051
  • Cheong, B. C. (2024). Transparency and Accountability in AI Systems: Safeguarding Wellbeing in the Age of Algorithmic Decision-Making. Frontiers in Human Dynamics, 6. https://doi.org/10.3389/fhumd.2024.1421273
  • Clément, Z. D. d. (2022). Inteligencia Artificial en El Derecho Internacional, Naciones Unidas Y Unión Europea. Revista Estudios Jurídicos Segunda Época, 22. https://doi.org/10.17561/rej.n22.7524
  • Coromina, M. P. (2024). La Inteligencia Artificial: Definición, Regulación Y Riesgos Para Los Derechos Fundamentales. Estudios De Deusto, 72(1), 307–337. https://doi.org/10.18543/ed.3108
  • Cortecci, M. B., & Bonetti, M. (2024). Analysis of Artificial Intelligence Applications in Healthcare: A Review of Technologies, Ethical Concerns, and Regulatory Issues. https://doi.org/10.31235/osf.io/beudp
  • Díaz, M. R. O., & Ospina, K. J. Z. (2023). Gobierno digital e inteligencia artificial, una mirada al Caso Colombiano. Administración & Desarrollo, 53(1), 1–34. https://doi.org/10.22431/25005227.vol53n1.2
  • Dubey, A., Yang, Z., & Hattab, G. (2024). A Nested Model for AI Design and Validation. Iscience, 27(9), 110603. https://doi.org/10.1016/j.isci.2024.110603
  • Fernández, J. V. (2022). La Gobernanza De Los Riesgos Digitales. Cuadernos De Derecho Transnacional, 14(1), 489–503. https://doi.org/10.20318/cdt.2022.6695
  • Ferreira, J. G. (2023). El Impacto de la inteligencia artificial en los trabajadores despedidos por automatización de servicios. Revista Ces Derecho, 14(3), 62–81. https://doi.org/10.21615/cesder.7416
  • Fritz-Morgenthal, S., Hein, B., & Papenbrock, J. (2022). Financial risk management and explainable, trustworthy, responsible AI. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.779799
  • García, A. P. (2024). «Gervasio Para Todo» Y La Gobernanza Pública Algorítmica. Documentación Administrativa. https://doi.org/10.24965/da.11401
  • Gil, O. (2024). Inteligencia Artificial: Gobernanza Y Legitimidad. https://doi.org/10.31235/osf.io/rs7d8
  • Gutiérrez, R. M. (2023). Reforma Para Una Administración De Datos. Revista Catalana De Dret Públic, 67, 67–81. https://doi.org/10.58992/rcdp.i67.2023.4094
  • Harahap, A. A. (2022). Efektivitas Penggunaan Aplikasi SP4N-LAPOR! Dalam Penanganan Pengaduan di Dinas Komunikasi Informatika Statistika dan Persandian Kota Pekanbaru. Institut Pemerintahan Dalam Negeri.
  • Harahap, A. A., & Nursyafniati, N. (2026). Implementation and operational challenges of the SP4N-LAPOR digital complaint system: Implementasi dan tantangan operasional sistem pengaduan digital SP4N-LAPOR. Academia Open, 11(2). https://doi.org/10.21070/acopen.11.2026.14872
  • Hernandez, C. S., Ayo, S., & Panagiotakopoulos, D. (2021). An Explainable Artificial Intelligence (xAI) Framework for Improving Trust in Automated ATM Tools. 1–10. https://doi.org/10.1109/dasc52595.2021.9594341
  • Laux, J. (2024). Institutionalised distrust and human oversight of artificial intelligence: Towards a democratic design of AI governance under the European Union AI Act. AI & Society, 39, 2853–2866. https://doi.org/10.1007/s00146-023-01777-z
  • Martínez, A. C. i. (2020). El dret al servei d’una intel·ligència artificial centrada en l’ésser humà i en Les Institucions. Idp Revista De Internet Derecho Y Política, 30. https://doi.org/10.7238/idp.v0i30.3229
  • MÁVIL, R. H. (2023). El Paradigma de los derechos humanos como base para una regulación de la Inteligencia Artificial global (The Paradigm of human rights as a basis for a global Artificial Intelligence regulation). Universos Jurídicos, 21(21), 61–89. https://doi.org/10.25009/uj.v21i21.2663
  • Merino, B. V. (2023). Dirección Y evaluación de políticas públicas en base a la evidencia: ¿dónde Se Encuentra La Administración General Del Estado? Gestión Y Análisis De Políticas Públicas, 28–44. https://doi.org/10.24965/gapp.11013
  • Mora‐Cantallops, M., García‐Barriocanal, E., & Sicilia, M. (2024). Trustworthy AI guidelines in biomedical decision-making applications: A scoping review. Big Data and Cognitive Computing, 8(7), 73. https://doi.org/10.3390/bdcc8070073
  • Moreira-Arteaga, L., & Bermeo-Valencia, M. (2023). Gobernanza inteligente como estrategia de transparencia en la gestión de gobierno abierto. Caso: PORTOVIAL E.P. 593 Digital Publisher Ceit, 8(3–1), 306–320. https://doi.org/10.33386/593dp.2023.3-1.1864
  • Muñoz, V. (2024). Inteligencia Artificial: Potenciando El Futuro De América Latina Y El Caribe. https://doi.org/10.33960/ac_18.2024
  • Nanni, R., Bizzaro, P. G., Celepija, A., Usmani, M., & Napolitano, M. (2026). AI ethics canvas a graphical tool to design and deploy ethical artificial intelligence for public administrations. Data & Policy. https://doi.org/10.1017/dap.2026.10088
  • Nannini, L. (2024). Habemus a right to an explanation: So what? – A framework on Transparency-explainability functionality and tensions in the EU AI act. Proceedings of the Aaai/Acm Conference on Ai Ethics and Society, 7, 1023–1035. https://doi.org/10.1609/aies.v7i1.31700
  • Nannini, L., Alonso, J. M., Catalá, A., Lama, M., & Barro, S. (2024). Operationalizing explainable Artificial Intelligence in the European union regulatory ecosystem. Ieee Intelligent Systems, 39(4), 37–48. https://doi.org/10.1109/mis.2024.3383155
  • OECD/CAF. (2024). Revisión Del Gobierno Digital en América Latina Y El Caribe. https://doi.org/10.1787/7a127615-es
  • Percy, C., Dragičević, S., Sarkar, S., & Garcez, A. d. (2021). Accountability in AI: From Principles to Industry-Specific Accreditation. https://doi.org/10.48550/arxiv.2110.09232
  • Quinn, H. O., Sedky, M., Francis, J., & Streeton, M. (2024). A Literature Review of Explainable Tabular Data. https://doi.org/10.20944/preprints202408.0556.v1
  • Quintero-Cuero, G. R. (2023). Optimización de procesos en la gestión pública ecuatoriana. Mqrinvestigar, 7(2), 1703–1732. https://doi.org/10.56048/mqr20225.7.2.2023.1703-1732
  • Rane, J., Kaya, Ö., Mallick, S. K., & Rane, N. L. (2024). enhancing black-box models: Advances in explainable artificial intelligence for ethical decision-making. https://doi.org/10.70593/978-81-981271-0-5_4
  • Ridley, M. (2022). Explainable Artificial Intelligence (XAI). Information Technology and Libraries, 41(2). https://doi.org/10.6017/ital.v41i2.14683
  • Rivera-Ulloa, N., & Vegas-Meléndez, H. (2023). Gerencia pública disruptiva desde la perspectiva de los principios de la Gobernanza Institucional. 593 Digital Publisher Ceit, 8(3–1), 117–132. https://doi.org/10.33386/593dp.2023.3-1.1838
  • Romero, M. J. (2020). Revisión sistemática del concepto gobernanza cooperativa. Ciencias Administrativas, 18, 83. https://doi.org/10.24215/23143738e083
  • Sáez, F. T., & Jiménez, D. Á. (2021). Transformación Digital de la administración pública: ¿qué competencias necesitan los empleados públicos? Gestión Y Análisis De Políticas Públicas, 49–67. https://doi.org/10.24965/gapp.i27.10923
  • Salvador, M. (2021). Inteligencia Artificial Y gobernanza de datos en las administraciones públicas: Reflexiones Y evidencias para su desarrollo. Gestión Y Análisis De Políticas Públicas, 20–32. https://doi.org/10.24965/gapp.i26.10855
  • Schoenherr, J. R., Abbas, R., Michael, K., Rivas, P., & Anderson, T. D. (2023). Designing AI using a human-centered approach: Explainability and accuracy toward trustworthiness. Ieee Transactions on Technology and Society, 4(1), 9–23. https://doi.org/10.1109/tts.2023.3257627
  • Sicos, W. M. E., Ruiz, D. D. C., & Pantigoso, F. R. P. (2024). Datos abiertos en gobiernos locales: Una revisión sistemática. Revista De Climatología, 24, 212–218. https://doi.org/10.59427/rcli/2024/v24cs.212-218
  • Ulnicane, I., & Erkkilä, T. (2023). Politics and policy of Artificial Intelligence. Review of Policy Research, 40(5), 612–625. https://doi.org/10.1111/ropr.12574
  • Urquhart, L., McGarry, G., & Crabtree, A. (2022). Nordic Human-Computer Interaction Conference. https://doi.org/10.1145/3546155
  • Vallé, H. A. C. (2021). Construyendo un estado cognitivo en la cuarta revolución industrial. Ejes De Economía Y Sociedad, 5(9), 141–185. https://doi.org/10.33255/25914669/596
  • Wang, C., Yin, Y., & Hu, H. (2026). The rise of algorithmic governance and the dual revolution Applications, challenges, and governance of artificial intelligence in public administration. Technology in Society. https://doi.org/10.1016/j.techsoc.2026.103264

Author Biographies

Anna Asriniati Harahap, Islamic University of Riau

Program Studi Ilmu Administrasi, Universitas Islam Riau, Pekanbaru, Indonesia

 

Asiah Wasillah, Riau University

Program Studi Ilmu Pemerintahan, Universitas Riau, Pekanbaru, Indonesia

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Copyright (c) 2026 Anna Asriniati Harahap, Asiah Wasillah

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