Abstract
Digital transformation in the public sector has reshaped the strategic role of archival human resources (HR), shifting from administrative executors to information curators who collaborate with artificial intelligence systems. This study aims to review and synthesize theoretical frameworks relevant to defining the core competencies of archival HR in the era of Human-AI Collaboration (HAIC). A theoretical literature review method was employed, analyzing 32 academic articles and institutional documents published between 2003 and 2025. Thematic synthesis was used to identify and classify competency dimensions into three main categories: technological-adaptive competence, socio-ethical and curatorial competence, and collaborative-systemic competence. The findings indicate that strengthening archival HR competence cannot rely solely on technical skills, but must integrate reflective, ethical, and collaborative values within technology-based work systems. This study is expected to serve as a conceptual basis for the development of curricula, professional training, and contextually relevant and sustainable certification policies.
Bahasa Abstract
Transformasi digital dalam sektor publik telah mengubah peran strategis sumber daya manusia (SDM) kearsipan, dari pelaksana administratif menjadi kurator informasi yang bekerja berdampingan dengan sistem kecerdasan buatan. Penelitian ini bertujuan untuk mengkaji dan menyintesis berbagai kerangka teoretis yang relevan dalam merumuskan kompetensi SDM kearsipan di era kolaborasi manusia dan AI (Human-AI Collaboration/HAIC). Metode yang digunakan adalah kajian literatur teoretis terhadap 32 artikel ilmiah dan dokumen institusional yang diterbitkan antara tahun 2003 hingga 2025. Analisis dilakukan melalui pendekatan sintesis tematik untuk mengidentifikasi dan mengelompokkan dimensi kompetensi ke dalam tiga kategori utama: kompetensi teknologis dan adaptif, kompetensi sosial–etik dan kuratorial, serta kompetensi kolaboratif dan sistemik. Hasil kajian menunjukkan bahwa penguatan kompetensi SDM kearsipan tidak dapat hanya bertumpu pada keterampilan teknis, tetapi juga menuntut integrasi nilai-nilai reflektif, etis, dan kolaboratif dalam sistem kerja berbasis teknologi. Kajian ini diharapkan dapat menjadi dasar konseptual bagi pengembangan kurikulum, pelatihan profesional, dan kebijakan sertifikasi yang lebih kontekstual dan berkelanjutan.
References
Alaoui, S. (2025). Artificial intelligence and records management in contemporary organizations: what cultural aspects are required? Insights from the information culture framework (ICF). Records Management Journal, 35(2), 109–117.
Albashiry, N. M., Belhadj, H., & Al-Smadi, M. (2024). A digital competency framework for university teachers: Towards agile and sustainable curriculum. 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), 1491–1494.
Arias Hernández, R., & Rockembach, M. (2025). Building trustworthy AI solutions: integrating artificial intelligence literacy into records management and archival systems. AI & SOCIETY, 1–18.
Budai, B. B., Csuhai, S., & Tózsa, I. (2023). Digital competence development in public administration higher education. Sustainability (Switzerland), 15(16), 12462.
Cabrera, Á. A., Perer, A., & Hong, J. I. (2023). Improving human-AI collaboration with descriptions of AI behavior. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 1–21.
Cameron, S., Franks, P., & Hamidzadeh, B. (2023). Positioning paradata: A conceptual frame for AI processual documentation in archives and recordkeeping contexts. ACM Journal on Computing and Cultural Heritage, 16(4), 1–19.
Carretero, G. S., Vuorikari, R., & Punie, Y. (2017). DigComp 2.1: The Digital Competence Framework for Citizens with eight proficiency levels and examples of use.
Darji, D. A., Pancholi, P. D., Patel, S. B., Patel, S. J., & Patel, J. N. (2025). Theoretical and Conceptual Frameworks for Understanding Artificial Intelligence in Records and Information Management. In Artificial Intelligence in Records and Information Management (pp. 181–212). IGI Global Scientific Publishing.
Fielder, A., Vuorikari, R., RODRIGUEZ, P. N., & Punie, Y. (2016). Background Review for Developing the Digital Competence Framework for Consumers: A snapshot of hot-button issues and recent literature.
Floridi, L. (2010). Information ethics. The Cambridge Handbook of Information and Computer Ethics, 77–99.
Ghomi, M., & Redecker, C. (2019). Digital Competence of Educators (DigCompEdu): Development and Evaluation of a Self-assessment Instrument for Teachers’ Digital Competence. CSEDU (1), 541–548.
Gilliland, A. J. (2016). “Dead on Arrival”? Impartiality as a Measure of Archival Professionalism in the Twenty-first Century.
Hammoda, B., & Foli, S. (2024). A Digital Competence Framework for Learners (DCFL): A Conceptual Framework for Digital Literacy. Knowledge Management & E-Learning, 16(3), 477–500.
Head, A. (2013). Learning the ropes: How freshmen conduct course research once they enter college. Available at SSRN 2364080.
Jaillant, L. (2022). Archives, access and artificial intelligence: working with born-digital and digitized archival collections. Bielefeld University Press.
Jaillant, L., & Rees, A. (2023). Applying AI to digital archives: trust, collaboration and shared professional ethics. Digital Scholarship in the Humanities, 38(2), 571–585.
Kamp, A. (2015). Susskind, R. & Susskind, D.(2015). The future of professions. How technology will transform the work of human experts. Tidsskrift for Arbejdsliv, 20(3), 82–85.
Ketelaar, E. (2023). Archival contexts. Archeion, 124, 35–56.
Law, N. W. Y., Woo, D. J., De la Torre, J., & Wong, K. W. G. (2018). A global framework of reference on digital literacy skills for indicator 4.4. 2.
Mannheimer, S., Bond, N., Young, S. W. H., Kettler, H. S., Marcus, A., Slipher, S. K., Clark, J. A., Shorish, Y., Rossmann, D., & Sheehey, B. (2024). Responsible AI practice in libraries and archives: A review of the literature. Information Technology and Libraries, 43(3).
Mattar, J., Santos, C. C., & Cuque, L. M. (2022). Analysis and comparison of international digital competence frameworks for education. Education Sciences, 12(12), 932.
McGrath, M. J., Duenser, A., Lacey, J., & Paris, C. (2025). Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration. Computers in Human Behavior: Artificial Humans, 100200.
Micheli, M., Scholten, H., Craglia, M., & Lloyd, P. (2020). Competences and skills in the governance of a digitally transformed society. Fifth Workshop of the DigiTransScope Project (European Commission).
Mooradian, N. (2019). AI, records, and accountability. ARMA Magazine, 2019, 9–13.
Rabbani, M. D. M., Desai, K., Islam, M. M., Ahmad, S., & Snigdha, E. Z. (2025). Human-AI Collaboration in IT Systems Design: A Comprehensive Framework for Intelligent Co-Creation. The American Journal of Engineering and Technology, 7(03), 50–68.
Redecker, C., & Punie, Y. (2017). Digital competence of educators. Edited by Yves Punie.
Sánchez-Canut, S., Usart-Rodríguez, M., Grimalt-Álvaro, C., Martínez-Requejo, S., & Lores-Gómez, B. (2023). Professional digital competence: Definition, frameworks, measurement, and gender differences: A systematic literature review. Human Behavior and Emerging Technologies, 2023(1), 8897227.
Santos, T., Santos, E., Sousa, M., & Oliveira, M. (2024). The mediating effect of motivation between internal communication and job satisfaction. Administrative Sciences, 14(4), 69.
Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human–Computer Interaction, 36(6), 495–504.
Shneiderman, B. (2022). Human-centered AI. Oxford University Press.
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339.
Sommermann, K.-P., Krzywoń, A., & Fraenkel-Haeberle, C. (2025). The Civil Service in Europe: A Research Companion. Taylor & Francis.
Springer, A. (2019). Accurate, fair, and explainable: Building human-centered AI.
SzanteR, R., & Matuska, E. (2024). Development and Certification of Digital Competences in European Union Countries in Project-Based Learning Initiatives. Journal of Modern Science, 56(2).
Tocchetti, A., Corti, L., Balayn, A., Yurrita, M., Lippmann, P., Brambilla, M., & Yang, J. (2025). AI robustness: a human-centered perspective on technological challenges and opportunities. Acm Computing Surveys, 57(6), 1–38.
Torraco, R. J. (2016). Writing integrative literature reviews: Using the past and present to explore the future. Human Resource Development Review, 15(4), 404–428.
Tung, T. T. (2024). Risk Assessment and Risk Management for Historical Documents in the Archive Centres of Vietnam. Strategies for the 21st Century. Archival Science and the Digital Transformation in Vietnam, 61–84.
Turilli, M., & Floridi, L. (2009). The ethics of information transparency. Ethics and Information Technology, 11(2), 105–112.
Van Audenhove, L., Vermeire, L., Van den Broeck, W., & Demeulenaere, A. (2024). Data literacy in the new EU DigComp 2.2 framework how DigComp defines competences on artificial intelligence, internet of things and data. Information and Learning Sciences, 125(5/6), 406–436.
Van Dijck, J. (2014). Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology. Surveillance & Society, 12(2), 197–208.
Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The Digital Competence Framework for Citizens-With new examples of knowledge, skills and attitudes.
Xu, B., Song, X., Cai, Z., Lim, E., Tan, C.-W., & Yu, J. (2020). Artificial intelligence or augmented intelligence: A case study of human-AI collaboration in operational decision making.
Yakel, E., & Torres, D. (2003). AI: Archival Intelligence and User Expertise. The American Archivist, 66(1), 51–78. https://doi.org/10.17723/aarc.66.1.q022h85pn51n5800
Recommended Citation
Sanbein, Primus Mus
(2025)
"Kajian Teoretis tentang Kompetensi SDM Kearsipan dalam Era Kolaborasi Manusia dan Kecerdasan Buatan,"
Jurnal Ilmu Informasi, Perpustakaan dan Kearsipan: Vol. 27:
No.
2, Article 1.
DOI: 10.7454/JIPK.v27i2.1128
Available at:
https://scholarhub.ui.ac.id/jipk/vol27/iss2/1





